{
  "schema": 3,
  "generated_at": "2026-10-16",
  "name": "VOCE Applied Solutions",
  "description": "A decision-oriented registry connecting VOCE research on agents and LI!GHT WORKFORCE © to deployable software, platforms and infrastructure. Inclusion is documentary, not an endorsement.",
  "methodology": {
    "entry_point": "business need before vendor",
    "evidence_rule": "Every use case links to VOCE corpus evidence when available. Vendor capabilities are separately checked against official vendor material.",
    "independence": "Presence in the registry is not a VOCE recommendation, certification, ranking or commercial endorsement.",
    "autonomy": "Autonomy is described as assist, supervised action, governed execution or configurable. Actual permissions depend on deployment.",
    "regulated_work": "For legal, finance, HR, health and other high-stakes workflows, professional accountability and applicable regulation remain with the deploying organisation and qualified humans.",
    "freshness": "Vendor capabilities change quickly. Each solution record carries a verification date.",
    "due_diligence": "Institutional fields distinguish publicly documented capabilities from fields not located in official public material. Missing public documentation is not treated as a product defect.",
    "documentation_coverage": "Coverage describes how much official public evidence VOCE could verify for deployment, data boundary, identity, auditability, interfaces, pricing and availability. It is not a quality score.",
    "verification_date": "Institutional comparison verified against official vendor documentation on 2026-10-05.",
    "openness": "VOCE distinguishes hosted proprietary services, open-weight models, code-and-weight releases, and source-available models with commercial restrictions. 'Open' never means that training data, full training pipeline or commercial rights are automatically unrestricted.",
    "china_scope": "China-origin systems are tagged separately so institutional buyers can compare hosted Chinese cloud services with self-hostable model releases."
  },
  "sectors": [
    {
      "id": "legal",
      "en": "Legal & compliance",
      "fr": "Juridique & conformité",
      "it": "Legale & conformità"
    },
    {
      "id": "hr",
      "en": "Human resources",
      "fr": "Ressources humaines",
      "it": "Risorse umane"
    },
    {
      "id": "finance",
      "en": "Finance & accounting",
      "fr": "Finance & comptabilité",
      "it": "Finanza & contabilità"
    },
    {
      "id": "culture",
      "en": "Museums & culture",
      "fr": "Musées & culture",
      "it": "Musei & cultura"
    },
    {
      "id": "marketing",
      "en": "Marketing & communications",
      "fr": "Marketing & communication",
      "it": "Marketing & comunicazione"
    },
    {
      "id": "banking",
      "en": "Banking & insurance",
      "fr": "Banque & assurance",
      "it": "Banca & assicurazioni"
    },
    {
      "id": "healthops",
      "en": "Healthcare operations",
      "fr": "Opérations de santé",
      "it": "Operazioni sanitarie"
    },
    {
      "id": "it",
      "en": "IT, software & cyber",
      "fr": "IT, logiciel & cyber",
      "it": "IT, software & cyber"
    },
    {
      "id": "cross",
      "en": "Cross-functional",
      "fr": "Transversal",
      "it": "Trasversale"
    }
  ],
  "solutions": [
    {
      "id": "harvey",
      "vendor": "Harvey",
      "product": "Harvey",
      "layer": "vertical",
      "sectors": [
        "legal"
      ],
      "use_cases": [
        "NDA and contract first-pass review",
        "Playbook-based workflow execution",
        "Matter and document analysis",
        "Self-service approved legal workflows"
      ],
      "autonomy": "supervised action",
      "human_control": "Legal judgment, exception handling and final approval remain human responsibilities.",
      "fit": "Legal teams that want a purpose-built environment around firm knowledge, playbooks and governed collaboration.",
      "caution": "Purpose-built legal product; deployment must preserve confidentiality, privilege, access controls and jurisdiction-specific validation.",
      "verified_at": "2026-10-05",
      "official_sources": [
        "https://www.harvey.ai/platform/spaces",
        "https://www.harvey.ai/"
      ],
      "voce_evidence": [
        "lw-legal-astra",
        "lw-legal-harvey"
      ],
      "i18n": {
        "fr": {
          "use_cases": [
            "Revue initiale de NDA et contrats",
            "Workflows fondés sur les playbooks",
            "Analyse de dossiers et documents",
            "Workflows juridiques approuvés en self-service"
          ],
          "fit": "Équipes juridiques recherchant un environnement métier autour des connaissances, playbooks et collaborations gouvernées.",
          "caution": "Préserver confidentialité, secret professionnel, contrôle des accès et validation selon la juridiction."
        },
        "it": {
          "use_cases": [
            "Prima revisione di NDA e contratti",
            "Workflow basati su playbook",
            "Analisi di pratiche e documenti",
            "Workflow legali approvati self-service"
          ],
          "fit": "Team legali che cercano un ambiente verticale basato su conoscenza, playbook e collaborazione governata.",
          "caution": "Preservare riservatezza, privilegio professionale, controlli di accesso e validazione per giurisdizione."
        }
      },
      "institutional": {
        "availability": {
          "status": "commercial",
          "detail": "Enterprise SaaS; Harvey reports use across 70+ countries."
        },
        "deployment": [
          "Vendor-managed SaaS",
          "Microsoft Azure"
        ],
        "regions": [
          "US",
          "EU / Switzerland",
          "Australia"
        ],
        "data_residency": {
          "status": "documented",
          "detail": "Regional hosting and processing are offered in US, EU/Switzerland and Australia; the operative order form governs the selected region. Optional covered AI services can have separate location terms."
        },
        "identity_access": {
          "status": "documented",
          "controls": [
            "SAML SSO",
            "RBAC",
            "Ethical walls",
            "IP allow-listing",
            "Data lifecycle controls"
          ]
        },
        "auditability": {
          "status": "documented",
          "controls": [
            "Audit logs",
            "24/7 monitoring",
            "Annual third-party audits",
            "Annual penetration testing"
          ]
        },
        "interfaces": [
          "APIs",
          "iManage",
          "NetDocuments",
          "SharePoint",
          "Google Drive",
          "Aderant",
          "Ironclad",
          "Word",
          "Outlook"
        ],
        "mcp": {
          "status": "not_public"
        },
        "pricing": {
          "status": "contact_sales",
          "public": false
        },
        "security_certifications": [
          "SOC 2 Type II",
          "ISO 27001",
          "ISO 27701",
          "ISO 42001",
          "GDPR"
        ],
        "documentation_coverage": "high",
        "source_urls": [
          "https://www.harvey.ai/security",
          "https://www.harvey.ai/platform",
          "https://www.harvey.ai/legal/subprocessors",
          "https://www.harvey.ai/legal/security-addendum"
        ]
      },
      "origin_country": "United States",
      "openness": "proprietary_service",
      "license": "Commercial / service terms",
      "self_hosting": false,
      "commercial_use": "commercial_service"
    },
    {
      "id": "cocounsel",
      "vendor": "Thomson Reuters",
      "product": "CoCounsel Legal",
      "layer": "vertical",
      "sectors": [
        "legal"
      ],
      "use_cases": [
        "Legal research",
        "Issue analysis",
        "Drafting",
        "Document review",
        "Matter-centric multi-step workflows"
      ],
      "autonomy": "supervised action",
      "human_control": "Lawyers remain responsible for strategy, source checking, professional judgment and work product.",
      "fit": "Legal teams that value workflows grounded in Westlaw, Practical Law and organisation knowledge.",
      "caution": "Jurisdiction and content coverage vary. Verify availability and authoritative-source scope before deployment.",
      "verified_at": "2026-10-05",
      "official_sources": [
        "https://www.thomsonreuters.com/en/press-releases/2026/august/thomson-reuters-launches-next-generation-of-cocounsel-legal-the-ai-ecosystem-built-for-legal-professionals"
      ],
      "voce_evidence": [
        "lw-legal-astra",
        "lw-legal-harvey"
      ],
      "i18n": {
        "fr": {
          "use_cases": [
            "Recherche juridique",
            "Analyse de questions de droit",
            "Rédaction",
            "Revue documentaire",
            "Workflows multi-étapes par dossier"
          ],
          "fit": "Équipes juridiques privilégiant des workflows ancrés dans Westlaw, Practical Law et leurs propres connaissances.",
          "caution": "Vérifier la juridiction, la couverture des contenus et la disponibilité exacte avant déploiement."
        },
        "it": {
          "use_cases": [
            "Ricerca legale",
            "Analisi giuridica",
            "Drafting",
            "Revisione documentale",
            "Workflow multi-step per pratica"
          ],
          "fit": "Team legali che privilegiano workflow fondati su Westlaw, Practical Law e conoscenza interna.",
          "caution": "Verificare giurisdizione, copertura delle fonti e disponibilità esatta prima del deployment."
        }
      },
      "institutional": {
        "availability": {
          "status": "commercial",
          "detail": "Commercial legal AI plans are publicly offered; plan and next-generation feature availability can vary by customer."
        },
        "deployment": [
          "Vendor-managed SaaS",
          "Thomson Reuters environment"
        ],
        "regions": [],
        "data_residency": {
          "status": "not_public",
          "detail": "No product-specific customer-selectable region statement was located in the public legal product sources reviewed."
        },
        "identity_access": {
          "status": "partial",
          "controls": [
            "Access controls",
            "Matter/workspace permissions"
          ]
        },
        "auditability": {
          "status": "documented",
          "controls": [
            "Audit trails for AI interactions",
            "Usage analytics",
            "Source attribution"
          ]
        },
        "interfaces": [
          "Microsoft 365",
          "Westlaw",
          "Practical Law",
          "Document-management integrations"
        ],
        "mcp": {
          "status": "not_public"
        },
        "pricing": {
          "status": "public_partial",
          "public": true,
          "detail": "U.S. in-house CoCounsel Legal pricing is published from $1,694.90/month for new customers; larger teams and existing customers may require sales contact."
        },
        "security_certifications": [
          "SOC 2",
          "ISO 27001",
          "ISO 42001"
        ],
        "documentation_coverage": "high",
        "source_urls": [
          "https://legal.thomsonreuters.com/en/products/cocounsel-legal/plans",
          "https://legal.thomsonreuters.com/en/c/compare-cocounsel-plans-for-your-legal-team",
          "https://legal.thomsonreuters.com/blog/beyond-chatbots-how-cocounsel-legal-delivers-ai-legal-research-you-can-trust/",
          "https://legal.thomsonreuters.com/en/products/cocounsel-legal/corp"
        ]
      },
      "origin_country": "Canada",
      "openness": "proprietary_service",
      "license": "Commercial / service terms",
      "self_hosting": false,
      "commercial_use": "commercial_service"
    },
    {
      "id": "astra-for-law",
      "vendor": "OpenAI",
      "product": "Astra for Law",
      "layer": "professional-foundation",
      "sectors": [
        "legal"
      ],
      "use_cases": [
        "U.S. legal research with a dedicated daily-updated index",
        "Argument and objection analysis",
        "Contract-risk analysis",
        "Legal workflows connected to specialist tools and firm knowledge"
      ],
      "autonomy": "assist / build foundation",
      "human_control": "OpenAI explicitly instructs users to review answers and cited legal sources before relying on them. Professional judgment remains with eligible lawyers and supervised staff.",
      "fit": "Selected U.S. law firms and legal-technology builders that want GPT-6 Astra configured around professional legal search, legal instructions and specialist integrations.",
      "caution": "Early access. The Legal Search Index currently covers U.S. legal sources; API access is announced as coming soon. Product-specific data-residency terms are not public in the launch material reviewed.",
      "verified_at": "2026-10-05",
      "official_sources": [
        "https://openai.com/index/astra-for-law/",
        "https://help.openai.com/en/articles/20001528-astra-for-law",
        "https://openai.com/solutions/industries/law/"
      ],
      "voce_evidence": [
        "lw-legal-astra"
      ],
      "i18n": {
        "fr": {
          "use_cases": [
            "Recherche juridique américaine via un index dédié mis à jour quotidiennement",
            "Analyse d'arguments et d'objections",
            "Analyse du risque contractuel",
            "Workflows juridiques reliés aux outils spécialisés et au savoir du cabinet"
          ],
          "fit": "Cabinets américains sélectionnés et éditeurs legaltech voulant GPT-6 Astra configuré autour de la recherche juridique, d'instructions métier et d'intégrations spécialisées.",
          "caution": "Accès anticipé. L'index juridique couvre actuellement les sources américaines; l'API est annoncée prochainement. Les modalités propres de résidence des données ne sont pas publiées dans les documents de lancement examinés."
        },
        "it": {
          "use_cases": [
            "Ricerca legale USA tramite indice dedicato aggiornato quotidianamente",
            "Analisi di argomenti e obiezioni",
            "Analisi del rischio contrattuale",
            "Workflow legali collegati a strumenti specialistici e conoscenza dello studio"
          ],
          "fit": "Studi USA selezionati e legaltech che vogliono GPT-6 Astra configurato per ricerca legale, istruzioni professionali e integrazioni specialistiche.",
          "caution": "Accesso anticipato. L'indice legale copre attualmente fonti statunitensi; l'API è annunciata prossimamente. I termini specifici di data residency non sono pubblicati nei materiali di lancio esaminati."
        }
      },
      "institutional": {
        "availability": {
          "status": "early_access",
          "detail": "Initially available to selected U.S. law firms through Trusted Access and Codex; API access is announced as coming soon."
        },
        "deployment": [
          "ChatGPT / Codex hosted service",
          "API coming soon"
        ],
        "regions": [
          "United States initial access"
        ],
        "data_residency": {
          "status": "not_public",
          "detail": "No Astra-for-Law-specific public data-residency commitment was located in the launch materials reviewed."
        },
        "identity_access": {
          "status": "partial",
          "controls": [
            "Legal-grade trust and controls",
            "Eligible-lawyer access model",
            "Plugin permissions depend on connected tool"
          ]
        },
        "auditability": {
          "status": "not_public",
          "detail": "Product-specific public audit-log details were not enumerated in the launch material reviewed."
        },
        "interfaces": [
          "26 legal ecosystem plugins",
          "iManage",
          "DeepJudge",
          "Relativity",
          "Clio",
          "Legal Search Index"
        ],
        "mcp": {
          "status": "plugin_ecosystem"
        },
        "pricing": {
          "status": "contact_sales",
          "public": false
        },
        "security_certifications": [],
        "documentation_coverage": "medium",
        "source_urls": [
          "https://openai.com/index/astra-for-law/",
          "https://help.openai.com/en/articles/20001528-astra-for-law",
          "https://openai.com/solutions/industries/law/"
        ]
      },
      "origin_country": "United States",
      "openness": "proprietary_service",
      "license": "Commercial / service terms",
      "self_hosting": false,
      "commercial_use": "commercial_service"
    },
    {
      "id": "oracle-fusion-claw",
      "vendor": "Oracle",
      "product": "Fusion Claw / Fusion Agentic Applications",
      "layer": "enterprise-suite",
      "sectors": [
        "hr",
        "finance",
        "cross"
      ],
      "use_cases": [
        "Accounting close readiness and anomaly investigation",
        "Workforce staffing and schedule replanning",
        "Collections",
        "Supply-chain planning and execution"
      ],
      "autonomy": "governed execution",
      "human_control": "Objectives, policies, permissions, thresholds, approvals and escalation boundaries are defined by the organisation.",
      "fit": "Oracle Fusion customers seeking agentic execution inside ERP/HCM business objects and controls.",
      "caution": "Capabilities depend on Fusion modules, release and configured operating envelope. Do not infer full autonomy from product naming.",
      "verified_at": "2026-10-05",
      "official_sources": [
        "https://www.oracle.com/europe/news/announcement/oracle-extends-fusion-agentic-applications-with-introduction-of-fusion-claw-2026-09-29/",
        "https://docs.oracle.com/en/cloud/saas/fusion-ai/fusion-claw.html"
      ],
      "voce_evidence": [
        "lw-oracle-hr-finance",
        "lw-agent-audit",
        "lw-agent-explanations"
      ],
      "i18n": {
        "fr": {
          "use_cases": [
            "Préparation de clôture et anomalies comptables",
            "Planification RH et révision des horaires",
            "Recouvrement",
            "Planification et exécution supply chain"
          ],
          "fit": "Clients Oracle Fusion voulant exécuter des processus agentiques directement dans les objets ERP/HCM et leurs contrôles.",
          "caution": "Les capacités dépendent des modules, de la version et de l'Operating Envelope configuré."
        },
        "it": {
          "use_cases": [
            "Preparazione della chiusura e anomalie contabili",
            "Staffing e ripianificazione turni",
            "Collections",
            "Pianificazione ed esecuzione supply chain"
          ],
          "fit": "Clienti Oracle Fusion che vogliono esecuzione agentica dentro oggetti e controlli ERP/HCM.",
          "caution": "Le capacità dipendono da moduli, release e Operating Envelope configurato."
        }
      },
      "institutional": {
        "availability": {
          "status": "ga",
          "detail": "Oracle announced 25 Claw-powered Fusion Agentic Applications as available on 2026-09-29."
        },
        "deployment": [
          "Oracle Fusion Cloud Applications"
        ],
        "regions": [],
        "data_residency": {
          "status": "suite_dependent",
          "detail": "Fusion Claw runs inside Oracle Fusion Applications; exact residency must be validated for the customer's Fusion Cloud region and contract."
        },
        "identity_access": {
          "status": "documented",
          "controls": [
            "Enterprise Operating Envelope",
            "Identity controls",
            "Permissions",
            "Decision rights",
            "Approvals",
            "Escalation boundaries"
          ]
        },
        "auditability": {
          "status": "documented",
          "controls": [
            "Outcome Receipt",
            "Evidence record",
            "Decision/action/transaction trace"
          ]
        },
        "interfaces": [
          "Oracle Fusion business objects",
          "Deterministic enterprise computation"
        ],
        "mcp": {
          "status": "not_public"
        },
        "pricing": {
          "status": "contact_sales",
          "public": false,
          "detail": "Commercial packaging is separate from standard Fusion licensing; no public Claw unit price was located in official sources reviewed."
        },
        "security_certifications": [],
        "documentation_coverage": "high",
        "source_urls": [
          "https://www.oracle.com/europe/news/announcement/oracle-extends-fusion-agentic-applications-with-introduction-of-fusion-claw-2026-09-29/",
          "https://docs.oracle.com/en/cloud/saas/fusion-ai/fusion-claw.html"
        ]
      },
      "origin_country": "United States",
      "openness": "proprietary_service",
      "license": "Commercial / service terms",
      "self_hosting": false,
      "commercial_use": "commercial_service"
    },
    {
      "id": "servicenow-ai-agents",
      "vendor": "ServiceNow",
      "product": "AI Agents / Autonomous Workforce",
      "layer": "enterprise-workflow",
      "sectors": [
        "hr",
        "finance",
        "legal",
        "it",
        "cross"
      ],
      "use_cases": [
        "Employee service",
        "HR case resolution",
        "Finance operations",
        "Procurement",
        "Legal service workflows",
        "IT service and security workflows"
      ],
      "autonomy": "configurable",
      "human_control": "Sensitive cases can be escalated; policies, workflows, security and AI Control Tower govern execution.",
      "fit": "Organisations already using ServiceNow as a workflow and service-management layer across functions.",
      "caution": "The practical boundary of an agent is the configured workflow, data fabric and permissions, not the marketing label.",
      "verified_at": "2026-10-05",
      "official_sources": [
        "https://www.servicenow.com/products/ai-agents.html",
        "https://www.servicenow.com/solutions/employee-experience.html"
      ],
      "voce_evidence": [
        "lw-servicenow-build",
        "lw-agent-permissions",
        "lw-agent-audit",
        "lw-agent-evaluation"
      ],
      "i18n": {
        "fr": {
          "use_cases": [
            "Services aux salariés",
            "Résolution de cas RH",
            "Opérations finance",
            "Achats",
            "Workflows juridiques",
            "IT et sécurité"
          ],
          "fit": "Organisations utilisant déjà ServiceNow comme couche de workflow transverse.",
          "caution": "La frontière réelle de l'agent reste celle des workflows, données et permissions configurés."
        },
        "it": {
          "use_cases": [
            "Servizi ai dipendenti",
            "Risoluzione casi HR",
            "Operazioni finance",
            "Procurement",
            "Workflow legal",
            "IT e sicurezza"
          ],
          "fit": "Organizzazioni che usano ServiceNow come livello di workflow trasversale.",
          "caution": "Il confine reale dell'agente è definito da workflow, dati e permessi configurati."
        }
      },
      "institutional": {
        "availability": {
          "status": "ga",
          "detail": "AI Agents are embedded in the ServiceNow AI Platform; access depends on product tier and installed plugins."
        },
        "deployment": [
          "ServiceNow AI Platform SaaS"
        ],
        "regions": [],
        "data_residency": {
          "status": "suite_dependent",
          "detail": "ServiceNow documents AI data-handling and residency controls, but model availability and processing paths vary by geography, data-center environment and feature."
        },
        "identity_access": {
          "status": "documented",
          "controls": [
            "Role masking",
            "Approved roles",
            "AI identity governance",
            "AI Control Tower policies",
            "Kill switch"
          ]
        },
        "auditability": {
          "status": "documented",
          "controls": [
            "AI Control Tower observability",
            "Agent action monitoring",
            "Audit-ready compliance gates",
            "Work-note/action traces"
          ]
        },
        "interfaces": [
          "MCP client",
          "A2A",
          "Action Fabric",
          "APIs",
          "Workflow Data Fabric",
          "Third-party agents"
        ],
        "mcp": {
          "status": "documented"
        },
        "pricing": {
          "status": "contact_sales",
          "public": false,
          "detail": "Agentic capabilities are packaged by ServiceNow product tier; public pages route buyers to custom quotes."
        },
        "security_certifications": [],
        "documentation_coverage": "high",
        "source_urls": [
          "https://www.servicenow.com/products/ai-agents.html",
          "https://www.servicenow.com/products/ai-control-tower.html",
          "https://www.servicenow.com/standard/resource-center/white-paper/ai-security-and-governance.html",
          "https://www.servicenow.com/products/business-suite/pricing.html"
        ]
      },
      "origin_country": "United States",
      "openness": "proprietary_service",
      "license": "Commercial / service terms",
      "self_hosting": false,
      "commercial_use": "commercial_service"
    },
    {
      "id": "workday-sana",
      "vendor": "Workday",
      "product": "Sana AI Agents",
      "layer": "enterprise-suite",
      "sectors": [
        "hr",
        "finance",
        "it"
      ],
      "use_cases": [
        "Employee and manager self-service",
        "HR workflows",
        "Finance work",
        "IT work",
        "Agent teams orchestrated around Workday data and rules"
      ],
      "autonomy": "configurable",
      "human_control": "Deployment remains bounded by Workday data, policies and the organisation's configured rules.",
      "fit": "Workday customers seeking agents grounded in workforce and finance data.",
      "caution": "Availability and individual agent capabilities vary by product and tenant. Validate the precise agent before procurement.",
      "verified_at": "2026-10-05",
      "official_sources": [
        "https://www.workday.com/en-us/artificial-intelligence/ai-agents.html"
      ],
      "voce_evidence": [
        "lw-oracle-hr-finance",
        "lw-workforce-apprenticeship"
      ],
      "i18n": {
        "fr": {
          "use_cases": [
            "Self-service salariés et managers",
            "Workflows RH",
            "Finance",
            "IT",
            "Équipes d'agents orchestrées autour des données Workday"
          ],
          "fit": "Clients Workday voulant des agents ancrés dans les données workforce et finance.",
          "caution": "Valider la disponibilité exacte de chaque agent et capacité dans le tenant concerné."
        },
        "it": {
          "use_cases": [
            "Self-service dipendenti e manager",
            "Workflow HR",
            "Finance",
            "IT",
            "Team di agenti su dati Workday"
          ],
          "fit": "Clienti Workday che cercano agenti fondati sui dati workforce e finance.",
          "caution": "Verificare disponibilità e capacità del singolo agente nel tenant interessato."
        }
      },
      "institutional": {
        "availability": {
          "status": "ga",
          "detail": "Sana for Workday, Self-Service Agent and Sana Enterprise are available through Workday Flex Credits; some developer-agent capabilities remain Early Access."
        },
        "deployment": [
          "Workday SaaS",
          "Sana Enterprise"
        ],
        "regions": [
          "Workday regional deployments",
          "EU Sovereign Cloud option"
        ],
        "data_residency": {
          "status": "documented_partial",
          "detail": "Workday offers an EU Sovereign Cloud with EU data residency for AI-powered HR and finance. Workday also states Developer Agent inference stays within the customer's Extend region; connector-specific Sana Enterprise flows must still be reviewed."
        },
        "identity_access": {
          "status": "documented",
          "controls": [
            "Workday security groups",
            "Domain security policies",
            "Agent System of Record",
            "Provisioning controls",
            "Approved email-domain restrictions"
          ]
        },
        "auditability": {
          "status": "documented",
          "controls": [
            "Workday audit framework",
            "Agent System of Record"
          ]
        },
        "interfaces": [
          "MCP (Developer Agent)",
          "Box",
          "Confluence",
          "Google Workspace",
          "Jira",
          "Microsoft 365",
          "Salesforce",
          "ServiceNow",
          "SharePoint",
          "Slack",
          "Zoom"
        ],
        "mcp": {
          "status": "documented_partial"
        },
        "pricing": {
          "status": "flex_credits",
          "public": false,
          "detail": "Sana for Workday and Self-Service Agent use Workday Flex Credits; Sana Enterprise requires an eligible Workday product and Flex Credits. Exact enterprise price is contract-specific."
        },
        "security_certifications": [
          "ISO 27001 (Workday services, applicability product-specific)",
          "SOC 2 (Workday services, applicability product-specific)"
        ],
        "documentation_coverage": "high",
        "source_urls": [
          "https://www.workday.com/en-us/artificial-intelligence/ai-agents.html",
          "https://www.workday.com/en-us/artificial-intelligence/workday-sana.html",
          "https://doc.workday.com/admin-guide/en-us/workday-ai/sana-for-workday/steps--set-up-sana-for-workday.html",
          "https://newsroom.workday.com/2025-11-19-Workday-Launches-Workday-EU-Sovereign-Cloud-to-Unlock-Enterprise-AI-With-Full-EU-Data-Residency-and-Control",
          "https://newsroom.workday.com/2026-03-17-Introducing-Sana-from-Workday-Superintelligence-for-Work-That-Finds-Answers%2C-Takes-Action%2C-and-Automates-Workflows"
        ]
      },
      "origin_country": "United States",
      "openness": "proprietary_service",
      "license": "Commercial / service terms",
      "self_hosting": false,
      "commercial_use": "commercial_service"
    },
    {
      "id": "sap-joule",
      "vendor": "SAP",
      "product": "Joule Agents",
      "layer": "enterprise-suite",
      "sectors": [
        "hr",
        "finance",
        "cross"
      ],
      "use_cases": [
        "Finance decision support and automation",
        "HR recruiting and operations",
        "Procurement",
        "Supply-chain workflows"
      ],
      "autonomy": "configurable",
      "human_control": "Agents operate through SAP business applications, data and process controls; material decisions still require organisational governance.",
      "fit": "SAP estates where business context is already represented in SAP data and processes.",
      "caution": "Confirm which Joule agents are generally available for the required module and geography.",
      "verified_at": "2026-10-05",
      "official_sources": [
        "https://www.sap.com/joule",
        "https://www.sap.com/uk/use-cases/joule-assistant/hr-operations-ai"
      ],
      "voce_evidence": [
        "lw-oracle-hr-finance",
        "lw-workforce-apprenticeship"
      ],
      "i18n": {
        "fr": {
          "use_cases": [
            "Automatisation et aide à la décision finance",
            "Recrutement et opérations RH",
            "Achats",
            "Supply chain"
          ],
          "fit": "Environnements SAP où le contexte métier réside déjà dans les données et processus SAP.",
          "caution": "Vérifier la disponibilité générale de l'agent Joule requis selon module et géographie."
        },
        "it": {
          "use_cases": [
            "Automazione e decision support finance",
            "Recruiting e operazioni HR",
            "Procurement",
            "Supply chain"
          ],
          "fit": "Ambienti SAP in cui contesto e processi aziendali sono già rappresentati in SAP.",
          "caution": "Verificare la disponibilità generale del Joule Agent richiesto per modulo e geografia."
        }
      },
      "institutional": {
        "availability": {
          "status": "ga_varies",
          "detail": "Joule Agents and AI features are commercially available, but individual agents vary by SAP solution and release."
        },
        "deployment": [
          "SAP BTP",
          "SAP business applications"
        ],
        "regions": [],
        "data_residency": {
          "status": "suite_dependent",
          "detail": "Joule is built on SAP BTP/Cloud Foundry; residency and model-processing routes depend on the customer's SAP landscape, BTP region and enabled capability."
        },
        "identity_access": {
          "status": "suite_dependent",
          "controls": [
            "SAP application/BTP authorization model"
          ]
        },
        "auditability": {
          "status": "partial",
          "controls": [
            "Agent-action usage tracking",
            "SAP application logs depend on connected workflow"
          ]
        },
        "interfaces": [
          "Joule Studio",
          "SAP AI Agent Hub",
          "SAP BTP",
          "SAP business applications"
        ],
        "mcp": {
          "status": "not_public"
        },
        "pricing": {
          "status": "public",
          "public": true,
          "detail": "SAP-delivered autonomous enterprise agents in 2026 are priced at 0.02 AI Units per agent action. Custom productive runtime is billed through SAP BTP resource consumption; SAP publishes separate AI Unit rules."
        },
        "security_certifications": [],
        "documentation_coverage": "medium",
        "source_urls": [
          "https://www.sap.com/westbalkans/products/artificial-intelligence/pricing.html",
          "https://help.sap.com/doc/75f5965fbb514fbcb89f1e47c094ea3f/CLOUD/en-US/9d8c0ef2443b49f993a27de8f38f83af.pdf"
        ]
      },
      "origin_country": "Germany",
      "openness": "proprietary_service",
      "license": "Commercial / service terms",
      "self_hosting": false,
      "commercial_use": "commercial_service"
    },
    {
      "id": "microsoft-copilot-studio",
      "vendor": "Microsoft",
      "product": "Copilot Studio",
      "layer": "agent-platform",
      "sectors": [
        "hr",
        "finance",
        "it",
        "cross"
      ],
      "use_cases": [
        "Recruitment assistance",
        "Balance-sheet reconciliation",
        "IT support",
        "Custom agents connected through workflows, connectors, REST APIs and MCP"
      ],
      "autonomy": "configurable",
      "human_control": "Actions should inherit business-system permissions and explicit approval boundaries.",
      "fit": "Microsoft-heavy organisations that want to build and distribute custom agents across Teams, web and enterprise apps.",
      "caution": "Copilot Studio is a construction and orchestration layer, not a domain authority for law, accounting or HR compliance.",
      "verified_at": "2026-10-05",
      "official_sources": [
        "https://www.microsoft.com/en-us/microsoft-copilot/microsoft-copilot-studio",
        "https://learn.microsoft.com/en-us/microsoft-copilot-studio/agents-overview"
      ],
      "voce_evidence": [
        "lw-agui",
        "lw-agent-permissions",
        "lw-mcp-scale",
        "lw-agent-evaluation",
        "lw-agent-audit"
      ],
      "i18n": {
        "fr": {
          "use_cases": [
            "Aide au recrutement",
            "Rapprochement de bilan",
            "Support IT",
            "Agents connectés aux workflows, API et MCP"
          ],
          "fit": "Organisations Microsoft souhaitant construire puis diffuser des agents personnalisés.",
          "caution": "Copilot Studio orchestre et construit; il ne constitue pas une autorité métier juridique, RH ou comptable."
        },
        "it": {
          "use_cases": [
            "Supporto recruiting",
            "Riconciliazione bilancio",
            "Supporto IT",
            "Agenti con workflow, API e MCP"
          ],
          "fit": "Organizzazioni Microsoft che vogliono costruire e distribuire agenti personalizzati.",
          "caution": "Copilot Studio è un livello di costruzione e orchestrazione, non un'autorità verticale legale, HR o contabile."
        }
      },
      "institutional": {
        "availability": {
          "status": "ga_with_previews",
          "detail": "Copilot Studio is generally available; some MCP/A2A and REST tooling is in preview or staged rollout depending on harness and environment."
        },
        "deployment": [
          "Microsoft Power Platform",
          "Azure"
        ],
        "regions": [
          "Multi-geo Azure regions",
          "EU Data Boundary eligible configurations"
        ],
        "data_residency": {
          "status": "documented",
          "detail": "Customers can select geographic environments; EU/EFTA tenants can qualify for EU Data Boundary when environments are created inside the boundary. External connectors can move data outside the selected geography."
        },
        "identity_access": {
          "status": "documented",
          "controls": [
            "Microsoft Entra ID",
            "OAuth 2.0",
            "RBAC",
            "MFA",
            "DLP policies",
            "Customer-managed keys"
          ]
        },
        "auditability": {
          "status": "documented",
          "controls": [
            "Audit logs",
            "Monitoring",
            "Agent activity/transcripts",
            "Power Platform governance"
          ]
        },
        "interfaces": [
          "MCP",
          "A2A",
          "REST API",
          "Power Platform connectors",
          "Power Automate",
          "Microsoft 365"
        ],
        "mcp": {
          "status": "documented"
        },
        "pricing": {
          "status": "public_usage",
          "public": true,
          "detail": "Usage is measured in Copilot Credits; Microsoft publishes feature-level credit rates and supports prepaid capacity or Azure pay-as-you-go."
        },
        "security_certifications": [
          "Azure / Microsoft compliance portfolio",
          "GDPR",
          "ISO/IEC 27001",
          "SOC 1/2/3"
        ],
        "documentation_coverage": "high",
        "source_urls": [
          "https://learn.microsoft.com/en-us/microsoft-copilot-studio/geo-data-residency-security",
          "https://learn.microsoft.com/en-us/microsoft-copilot-studio/security-and-governance",
          "https://learn.microsoft.com/en-us/microsoft-copilot-studio/mcp-add-components-to-agent",
          "https://learn.microsoft.com/en-us/microsoft-copilot-studio/requirements-messages-management"
        ]
      },
      "origin_country": "United States",
      "openness": "proprietary_service",
      "license": "Commercial / service terms",
      "self_hosting": false,
      "commercial_use": "commercial_service"
    },
    {
      "id": "alibaba-model-studio",
      "vendor": "Alibaba Cloud",
      "product": "Model Studio / Qwen",
      "layer": "build-platform",
      "sectors": [
        "legal",
        "hr",
        "finance",
        "culture",
        "marketing",
        "banking",
        "it",
        "cross"
      ],
      "use_cases": [
        "Custom RAG assistants and agents",
        "Function and tool calling",
        "MCP-connected workflows",
        "PDF understanding",
        "OCR and structured document extraction",
        "Multimodal and voice interfaces"
      ],
      "autonomy": "configurable",
      "human_control": "The deploying organisation defines tools, permissions, knowledge bases and action boundaries.",
      "fit": "Teams building their own domain agents or document pipelines, especially where Qwen and Alibaba Cloud infrastructure are strategic.",
      "caution": "This is a model and agent-building platform, not a packaged legal, HR or accounting authority. Region-specific feature availability matters.",
      "verified_at": "2026-10-05",
      "official_sources": [
        "https://www.alibabacloud.com/help/en/model-studio/single-agent-application",
        "https://docs.modelstudio.console.alibabacloud.com/en/model-studio/tool-calls",
        "https://docs.modelstudio.console.alibabacloud.com/en/model-studio/qwen-vl-ocr"
      ],
      "voce_evidence": [
        "lw-alibaba-voice",
        "lw-mcp-scale",
        "lw-doc-intelligence",
        "lw-spiffe",
        "lw-agent-evaluation"
      ],
      "i18n": {
        "fr": {
          "use_cases": [
            "Agents et assistants RAG sur mesure",
            "Appels de fonctions et d'outils",
            "Workflows MCP",
            "Compréhension PDF",
            "OCR et extraction structurée",
            "Interfaces multimodales et vocales"
          ],
          "fit": "Équipes construisant leurs propres agents métiers ou chaînes documentaires, notamment autour de Qwen et Alibaba Cloud.",
          "caution": "Plateforme de modèles et d'agents, pas produit juridique/RH/comptable clé en main. La disponibilité varie selon les régions."
        },
        "it": {
          "use_cases": [
            "Agenti e assistenti RAG personalizzati",
            "Function e tool calling",
            "Workflow MCP",
            "Comprensione PDF",
            "OCR ed estrazione strutturata",
            "Interfacce multimodali e vocali"
          ],
          "fit": "Team che costruiscono agenti verticali o pipeline documentali su Qwen e Alibaba Cloud.",
          "caution": "Piattaforma di modelli e agenti, non prodotto legale/HR/contabile pronto all'uso. Le feature variano per regione."
        }
      },
      "institutional": {
        "availability": {
          "status": "ga",
          "detail": "Model Studio is available in multiple regional deployments with region-specific endpoints, API keys, models and pricing."
        },
        "deployment": [
          "Alibaba Cloud Model Studio",
          "Workspace-dedicated API endpoints"
        ],
        "regions": [
          "China (Beijing)",
          "Singapore",
          "Germany (Frankfurt)",
          "Japan (Tokyo)",
          "China (Hong Kong)",
          "US (Virginia)"
        ],
        "data_residency": {
          "status": "documented",
          "detail": "Static data remains in the selected region. Germany supports an EU deployment scope; US Virginia supports a US scope. Region, endpoint, API key and model list are isolated."
        },
        "identity_access": {
          "status": "documented",
          "controls": [
            "Alibaba Cloud RAM",
            "Workspace roles",
            "Granular model permissions",
            "API key scopes",
            "IP allow-lists"
          ]
        },
        "auditability": {
          "status": "documented",
          "controls": [
            "Default audit logs",
            "Optional inference logs",
            "Monitoring",
            "Alerts",
            "SLS log delivery"
          ]
        },
        "interfaces": [
          "REST API",
          "OpenAPI",
          "Function/tool calling",
          "MCP-connected applications",
          "Knowledge bases"
        ],
        "mcp": {
          "status": "supported_application_layer"
        },
        "pricing": {
          "status": "public_usage",
          "public": true,
          "detail": "Alibaba publishes per-model token pricing by region and deployment scope; prices differ by model, context length and modality."
        },
        "security_certifications": [
          "Alibaba Cloud security/compliance portfolio"
        ],
        "documentation_coverage": "high",
        "source_urls": [
          "https://www.alibabacloud.com/help/en/model-studio/what-is-model-studio",
          "https://www.alibabacloud.com/help/en/model-studio/regions",
          "https://www.alibabacloud.com/help/en/model-studio/permission-management-overview",
          "https://www.alibabacloud.com/help/en/model-studio/model-telemetry",
          "https://www.alibabacloud.com/help/en/model-studio/model-pricing"
        ]
      },
      "origin_country": "China",
      "openness": "hosted_platform",
      "license": "Proprietary service",
      "self_hosting": false,
      "commercial_use": "commercial_service"
    },
    {
      "id": "alibaba-quick-bi-aipro",
      "vendor": "Alibaba Cloud",
      "product": "Quick BI AIPro",
      "layer": "vertical",
      "sectors": [
        "finance",
        "marketing",
        "banking",
        "cross"
      ],
      "use_cases": [
        "Conversational business intelligence without SQL",
        "Automated attribution and root-cause analysis",
        "Dashboard and HTML report generation",
        "Recurring management reporting",
        "PPT generation from business data"
      ],
      "autonomy": "analytical assistant / scheduled output",
      "human_control": "Business users define the question, accessible data assets and reporting scope. Administrators control access, roles and AI features.",
      "fit": "Finance, operations, commercial and management teams that want natural-language analysis on governed enterprise data rather than a general-purpose chatbot.",
      "caution": "AIPro is a BI product, not a foundation model. As of the official August 2026 documentation it is in targeted beta for selected customers, even though the international billing matrix already lists an AIPro edition.",
      "verified_at": "2026-10-05",
      "official_sources": [
        "https://www.alibabacloud.com/help/en/quick-bi/user-guide/quick-bi-aipro-overview",
        "https://www.alibabacloud.com/help/en/quick-bi/getting-started/quick-bi-aipro-getting-started-guide",
        "https://www.alibabacloud.com/help/en/quick-bi/product-overview/billing-methods-of-quick-bi",
        "https://www.alibabacloud.com/help/en/quick-bi/security-and-compliance/audit-log",
        "https://www.alibabacloud.com/help/en/quick-bi/security-and-compliance/data-security"
      ],
      "voce_evidence": [
        "lw-oracle-hr-finance",
        "lw-workforce-apprenticeship",
        "lw-agent-evaluation"
      ],
      "i18n": {
        "fr": {
          "use_cases": [
            "Business intelligence conversationnelle sans SQL",
            "Analyse automatique d'attribution et de causes",
            "Génération de dashboards et rapports HTML",
            "Reporting de gestion récurrent",
            "Génération de PPT à partir des données métier"
          ],
          "fit": "Équipes finance, opérations, commerce et direction voulant interroger des données gouvernées en langage naturel plutôt qu'utiliser un chatbot généraliste.",
          "caution": "AIPro est un produit BI, pas un modèle fondation. La documentation officielle d'août 2026 le décrit encore en bêta ciblée pour certains clients, même si l'édition AIPro figure déjà dans la grille internationale de facturation."
        },
        "it": {
          "use_cases": [
            "Business intelligence conversazionale senza SQL",
            "Analisi automatica di attribuzione e cause",
            "Generazione di dashboard e report HTML",
            "Reporting gestionale ricorrente",
            "Generazione di PPT dai dati aziendali"
          ],
          "fit": "Team finance, operations, commerciale e management che vogliono interrogare dati governati in linguaggio naturale invece di usare un chatbot generalista.",
          "caution": "AIPro è un prodotto BI, non un foundation model. La documentazione ufficiale di agosto 2026 lo descrive ancora in beta mirata per clienti selezionati, anche se l'edizione AIPro compare già nella matrice internazionale di billing."
        }
      },
      "origin_country": "China",
      "openness": "hosted_service",
      "license": "Proprietary SaaS",
      "self_hosting": false,
      "commercial_use": "commercial_service",
      "institutional": {
        "availability": {
          "status": "targeted_beta",
          "detail": "Official August 2026 getting-started documentation describes Quick BI AIPro as targeted beta for selected customers; the international billing matrix already includes an AIPro Edition."
        },
        "deployment": [
          "Alibaba Cloud SaaS",
          "Quick BI environments",
          "Quick BI also documents private deployment for the broader platform"
        ],
        "regions": [
          "China (Hong Kong)",
          "Malaysia",
          "Singapore",
          "Japan (Tokyo)",
          "Indonesia (Jakarta)",
          "China (Hangzhou)",
          "US (Virginia)",
          "Germany (Frankfurt)",
          "Saudi Arabia (Riyadh)"
        ],
        "data_residency": {
          "status": "documented_partial",
          "detail": "Quick BI states that connected customer data is queried live and not written to disk; platform metadata is stored in Alibaba Cloud RDS. Exact AIPro model-processing location must still be validated for the selected region."
        },
        "identity_access": {
          "status": "documented",
          "controls": [
            "Alibaba Cloud RAM",
            "Organization roles",
            "Workspace roles",
            "Custom roles"
          ]
        },
        "auditability": {
          "status": "documented",
          "controls": [
            "Login logs",
            "Access logs",
            "Operation logs",
            "Permission logs",
            "ActionTrail delivery"
          ]
        },
        "interfaces": [
          "Enterprise data sources",
          "Quick BI APIs",
          "VPC endpoints",
          "Smart Q / Qwen integration",
          "Scheduled subscriptions"
        ],
        "mcp": {
          "status": "not_public"
        },
        "pricing": {
          "status": "subscription",
          "public": true,
          "detail": "Quick BI is subscription-based by user count and duration; the international billing matrix lists AIPro Edition. Targeted-beta access can still require consultation."
        },
        "security_certifications": [
          "Alibaba Cloud security/compliance portfolio"
        ],
        "documentation_coverage": "high",
        "source_urls": [
          "https://www.alibabacloud.com/help/en/quick-bi/user-guide/quick-bi-aipro-overview",
          "https://www.alibabacloud.com/help/en/quick-bi/getting-started/quick-bi-aipro-getting-started-guide",
          "https://www.alibabacloud.com/help/en/quick-bi/product-overview/billing-methods-of-quick-bi",
          "https://www.alibabacloud.com/help/en/quick-bi/security-and-compliance/audit-log",
          "https://www.alibabacloud.com/help/en/quick-bi/security-and-compliance/data-security",
          "https://www.alibabacloud.com/help/en/quick-bi/developer-reference/api-quickbi-public-2022-01-01-endpoint"
        ]
      }
    },
    {
      "id": "zai-glm",
      "vendor": "Z.ai",
      "product": "GLM / Z.ai API",
      "layer": "foundation-model",
      "sectors": [
        "legal",
        "hr",
        "finance",
        "culture",
        "marketing",
        "banking",
        "it",
        "cross"
      ],
      "use_cases": [
        "Custom reasoning assistants",
        "Tool-using agents",
        "Long-document and research workflows",
        "OpenAI-compatible model integration"
      ],
      "autonomy": "build-dependent",
      "human_control": "All domain grounding, permissions, validation and action policy must be supplied by the application around the model.",
      "fit": "Engineering teams that want a general-purpose GLM model layer for custom applications or agent systems.",
      "caution": "Not a packaged legal, HR, museum or accounting product. Domain authority must come from connected data and controls.",
      "verified_at": "2026-10-05",
      "official_sources": [
        "https://z.ai/"
      ],
      "voce_evidence": [
        "lw-mcp-scale",
        "lw-agent-permissions",
        "lw-doc-intelligence",
        "lw-agent-evaluation",
        "lw-agent-explanations"
      ],
      "i18n": {
        "fr": {
          "use_cases": [
            "Assistants de raisonnement sur mesure",
            "Agents utilisant des outils",
            "Workflows de documents longs et recherche",
            "Intégration de modèles via API"
          ],
          "fit": "Équipes d'ingénierie recherchant une couche GLM généraliste pour applications ou agents sur mesure.",
          "caution": "Ce n'est pas un produit métier packagé. Corpus, permissions, validation et politiques d'action doivent être construits autour du modèle."
        },
        "it": {
          "use_cases": [
            "Assistenti di ragionamento personalizzati",
            "Agenti con strumenti",
            "Workflow su documenti lunghi e ricerca",
            "Integrazione via API"
          ],
          "fit": "Team engineering che vogliono un livello GLM general purpose per applicazioni o agenti custom.",
          "caution": "Non è un prodotto verticale: corpus, permessi, validazione e policy di azione devono essere costruiti attorno al modello."
        }
      },
      "institutional": {
        "availability": {
          "status": "ga",
          "detail": "Z.ai offers a commercial model API and coding plans; current GLM models are available through Z.ai endpoints. Open model weights are also published for selected GLM releases."
        },
        "deployment": [
          "Z.ai hosted API",
          "Local/self-hosted deployment for open-weight GLM releases"
        ],
        "regions": [],
        "data_residency": {
          "status": "not_public",
          "detail": "No customer-selectable hosted API data-residency regions were located in the public sources reviewed."
        },
        "identity_access": {
          "status": "partial",
          "controls": [
            "API keys",
            "Team plans"
          ]
        },
        "auditability": {
          "status": "not_public"
        },
        "interfaces": [
          "OpenAI-compatible API",
          "Anthropic-compatible coding endpoint",
          "Agent frameworks",
          "Local vLLM/SGLang for open weights"
        ],
        "mcp": {
          "status": "ecosystem",
          "detail": "MCP tools are included in some coding plans, but no general hosted MCP governance layer was documented."
        },
        "pricing": {
          "status": "public_usage",
          "public": true,
          "detail": "Z.ai publishes API pricing and separate Coding Plan tiers; enterprise cooperation is available via sales."
        },
        "security_certifications": [],
        "documentation_coverage": "medium",
        "source_urls": [
          "https://z.ai/pricing",
          "https://z.ai/model-api",
          "https://z.ai/blog/glm-5.3",
          "https://zcode.z.ai/en/docs/configuration"
        ]
      },
      "origin_country": "China",
      "openness": "hosted_api",
      "license": "Hosted service terms; separate open-weight GLM releases exist",
      "self_hosting": false,
      "commercial_use": "commercial_service"
    },
    {
      "id": "seedance",
      "vendor": "ByteDance Seed",
      "product": "Seedance 2.5",
      "layer": "creative-media",
      "sectors": [
        "culture",
        "marketing",
        "cross"
      ],
      "use_cases": [
        "Exhibition and campaign video prototyping",
        "Multimodal reference-based creation",
        "Longer-form audiovisual storytelling",
        "Targeted video editing",
        "Training and process-demonstration media"
      ],
      "autonomy": "creative generation",
      "human_control": "Editorial direction, rights clearance, factual accuracy, brand control and publication remain human responsibilities.",
      "fit": "Museums, cultural institutions and brands that need controlled high-volume audiovisual creation rather than operational workflow automation.",
      "caution": "Seedance is a creative model, not a museum ticketing, legal or accounting agent. Rights, provenance and likeness policies require separate governance.",
      "verified_at": "2026-10-05",
      "official_sources": [
        "https://seed.bytedance.com/en/seedance2_5",
        "https://seed.bytedance.com/en/blog/one-take-creation-flexible-referencing-introducing-seedance-2-5"
      ],
      "voce_evidence": [
        "lw-luxury-content",
        "lw-alibaba-voice"
      ],
      "i18n": {
        "fr": {
          "use_cases": [
            "Prototypage vidéo d'exposition et de campagne",
            "Création à partir de références multimodales",
            "Narration audiovisuelle",
            "Édition vidéo ciblée",
            "Médias de formation et démonstration"
          ],
          "fit": "Musées, institutions culturelles et marques ayant besoin d'une production audiovisuelle contrôlée à volume élevé.",
          "caution": "Seedance est un modèle créatif, pas un agent de billetterie, juridique ou comptable. Droits, provenance et ressemblance exigent une gouvernance séparée."
        },
        "it": {
          "use_cases": [
            "Prototipi video per mostre e campagne",
            "Creazione con riferimenti multimodali",
            "Storytelling audiovisivo",
            "Editing video mirato",
            "Media per training e dimostrazione"
          ],
          "fit": "Musei, istituzioni culturali e brand che richiedono produzione audiovisiva controllata ad alto volume.",
          "caution": "Seedance è un modello creativo, non un agente ticketing, legale o contabile. Diritti e provenienza richiedono governance separata."
        }
      },
      "institutional": {
        "availability": {
          "status": "ga_api",
          "detail": "Seedance 2.5 is available through BytePlus ModelArk API and ByteDance creative products."
        },
        "deployment": [
          "BytePlus ModelArk hosted API",
          "ByteDance creative applications"
        ],
        "regions": [
          "BytePlus ModelArk regional service"
        ],
        "data_residency": {
          "status": "not_public",
          "detail": "A Seedance-2.5-specific public data-residency commitment was not located in the product materials reviewed; deployment must be checked against the selected BytePlus region and contract."
        },
        "identity_access": {
          "status": "partial",
          "controls": [
            "ARK API key",
            "BytePlus account controls"
          ]
        },
        "auditability": {
          "status": "partial",
          "controls": [
            "Task IDs",
            "Billing records",
            "Callback/task lifecycle"
          ]
        },
        "interfaces": [
          "REST API",
          "cURL",
          "Python SDK",
          "Java SDK",
          "Go SDK"
        ],
        "mcp": {
          "status": "not_applicable"
        },
        "pricing": {
          "status": "public_usage",
          "public": true,
          "detail": "BytePlus bills Seedance by model/token usage; activation can use credits, AI Savings Plans or resource packs. Pricing varies with resolution and input type."
        },
        "security_certifications": [],
        "documentation_coverage": "medium",
        "source_urls": [
          "https://seed.bytedance.com/en/seedance2_5",
          "https://docs.byteplus.com/en/docs/ModelArk/seedance-2-5",
          "https://docs.byteplus.com/fr/docs/ModelArk/seedance-model-activation-usage-and-refund",
          "https://docs.byteplus.com/de/docs/modelark/model-service-pricing",
          "https://seed.bytedance.com/transparency"
        ]
      },
      "origin_country": "China",
      "openness": "hosted_model",
      "license": "Proprietary hosted model",
      "self_hosting": false,
      "commercial_use": "commercial_service"
    },
    {
      "id": "vivenu",
      "vendor": "vivenu",
      "product": "Enterprise ticketing / API-first attractions platform",
      "layer": "vertical-infrastructure",
      "sectors": [
        "culture"
      ],
      "use_cases": [
        "Museum and attraction ticketing",
        "Timed entry",
        "POS and access",
        "OTA distribution",
        "CRM/data integrations",
        "API-first custom visitor journeys"
      ],
      "autonomy": "system-of-record",
      "human_control": "Institutional teams define distribution, pricing, access, data use and integrations.",
      "fit": "Museums and cultural organisations that want a ticketing backbone with APIs, white-label journeys and data ownership.",
      "caution": "Ticketing infrastructure should be separated from agent permissions: payment, reservation, access and fraud functions should not share unnecessary authority.",
      "verified_at": "2026-10-05",
      "official_sources": [
        "https://vivenu.com/solutions/attractions",
        "https://vivenu.com/for/developers"
      ],
      "voce_evidence": [
        "lw-museum-api"
      ],
      "i18n": {
        "fr": {
          "use_cases": [
            "Billetterie musées et attractions",
            "Entrées horodatées",
            "POS et contrôle d'accès",
            "Distribution OTA",
            "Intégrations CRM et données",
            "Parcours visiteurs API-first"
          ],
          "fit": "Musées et institutions culturelles recherchant une infrastructure de billetterie ouverte, white-label et connectable.",
          "caution": "Séparer les permissions: paiement, réservation, accès et fraude ne devraient pas partager une autorité inutile."
        },
        "it": {
          "use_cases": [
            "Ticketing per musei e attrazioni",
            "Ingressi a fascia oraria",
            "POS e accesso",
            "Distribuzione OTA",
            "Integrazioni CRM e dati",
            "Journey API-first"
          ],
          "fit": "Musei e istituzioni culturali che cercano infrastruttura ticketing aperta, white-label e integrabile.",
          "caution": "Separare i permessi: pagamento, prenotazione, accesso e frode non dovrebbero condividere autorità non necessaria."
        }
      },
      "institutional": {
        "availability": {
          "status": "commercial",
          "detail": "Enterprise ticketing platform for attractions and events."
        },
        "deployment": [
          "Vendor-managed SaaS"
        ],
        "regions": [],
        "data_residency": {
          "status": "not_public",
          "detail": "No customer-selectable data-residency region statement was located in the public product/security pages reviewed."
        },
        "identity_access": {
          "status": "documented",
          "controls": [
            "RBAC",
            "MFA",
            "SAML 2.0 SSO",
            "OIDC SSO",
            "Granular API-key permissions"
          ]
        },
        "auditability": {
          "status": "documented",
          "controls": [
            "Audit logging for authentication, configuration and access events"
          ]
        },
        "interfaces": [
          "REST API",
          "API keys",
          "SSO exchange-token API",
          "Webhooks / integrations"
        ],
        "mcp": {
          "status": "not_public"
        },
        "pricing": {
          "status": "contact_sales",
          "public": false
        },
        "security_certifications": [
          "SOC 2 Type II",
          "GDPR",
          "PCI DSS"
        ],
        "documentation_coverage": "high",
        "source_urls": [
          "https://vivenu.com/security",
          "https://docs.vivenu.com/api/introduction",
          "https://docs.vivenu.com/api/sso",
          "https://trust.vivenu.com/"
        ]
      },
      "origin_country": "Germany / United States",
      "openness": "proprietary_service",
      "license": "Commercial / service terms",
      "self_hosting": false,
      "commercial_use": "commercial_service"
    },
    {
      "id": "pabau-agent-workforce",
      "vendor": "Pabau",
      "product": "Agent Workforce",
      "layer": "vertical",
      "sectors": [
        "healthops"
      ],
      "use_cases": [
        "Reception and phone workflows",
        "Appointment booking and rescheduling",
        "Invoice follow-up",
        "Lead reactivation",
        "Marketing and sales operations"
      ],
      "autonomy": "supervised-to-configurable",
      "human_control": "VOCE's September 2026 review documented staged autonomy and mandatory supervision for selected skills, with no automatic medical-record modification.",
      "fit": "Clinics already operating on Pabau that want agents acting on the same operational data.",
      "caution": "Operational automation must remain separated from clinical judgment and protected medical data.",
      "verified_at": "2026-09-23",
      "official_sources": [
        "https://pabau.com/"
      ],
      "voce_evidence": [
        "lw-pabau"
      ],
      "i18n": {
        "fr": {
          "use_cases": [
            "Réception et téléphonie",
            "Réservation et déplacement de rendez-vous",
            "Relance de factures",
            "Réactivation de prospects",
            "Marketing et vente"
          ],
          "fit": "Cliniques déjà sur Pabau voulant faire agir des agents sur les mêmes données opérationnelles.",
          "caution": "Séparer strictement automatisation opérationnelle, jugement clinique et données médicales protégées."
        },
        "it": {
          "use_cases": [
            "Reception e telefonia",
            "Prenotazione e spostamento appuntamenti",
            "Follow-up fatture",
            "Riattivazione lead",
            "Marketing e vendite"
          ],
          "fit": "Cliniche già su Pabau che vogliono agenti operativi sugli stessi dati.",
          "caution": "Separare rigorosamente automazione operativa, giudizio clinico e dati sanitari protetti."
        }
      },
      "institutional": {
        "availability": {
          "status": "commercial_addon",
          "detail": "Pabau core plans are commercial; AI agents are offered through the Engage Plus add-on."
        },
        "deployment": [
          "Vendor-managed SaaS"
        ],
        "regions": [
          "London (UK)",
          "Singapore (APAC)",
          "US on request"
        ],
        "data_residency": {
          "status": "documented",
          "detail": "Pabau documents London hosting for UK customers, Singapore for APAC and US provisioning on request; files and backups for UK customers are in London."
        },
        "identity_access": {
          "status": "documented",
          "controls": [
            "2FA",
            "Team roles and permissions",
            "HIPAA support controls"
          ]
        },
        "auditability": {
          "status": "documented",
          "controls": [
            "Audit logs for HIPAA-support workflows",
            "Security monitoring"
          ]
        },
        "interfaces": [
          "Integrations",
          "Payments",
          "Scheduling",
          "Patient records",
          "AI voice/chat agents"
        ],
        "mcp": {
          "status": "not_public"
        },
        "pricing": {
          "status": "public_partial",
          "public": true,
          "detail": "Core plans are priced by team size; larger-team pricing is quote-based. Engage Plus is priced per location with usage credits for messages and AI call minutes."
        },
        "security_certifications": [
          "HIPAA-support controls",
          "PCI via Stripe",
          "DigitalOcean SOC 2 Type II infrastructure"
        ],
        "documentation_coverage": "high",
        "source_urls": [
          "https://pabau.com/security/",
          "https://pabau.com/pricing/"
        ]
      },
      "origin_country": "United Kingdom",
      "openness": "proprietary_service",
      "license": "Commercial / service terms",
      "self_hosting": false,
      "commercial_use": "commercial_service"
    },
    {
      "id": "vcomply-mcp",
      "vendor": "VComply",
      "product": "MCP integrations",
      "layer": "vertical",
      "sectors": [
        "legal"
      ],
      "use_cases": [
        "Compliance obligation retrieval",
        "Programme and responsibility status",
        "Performance review",
        "Task comments and closure from an AI assistant"
      ],
      "autonomy": "supervised action",
      "human_control": "Permissions remain tied to the user's VComply identity and can be constrained tool by tool.",
      "fit": "Compliance teams that want the GRC system of record accessible from assistants without copying data into a parallel dashboard.",
      "caution": "Retrieval and workflow execution do not replace regulatory interpretation or evidence review.",
      "verified_at": "2026-09-28",
      "official_sources": [
        "https://www.v-comply.com/"
      ],
      "voce_evidence": [
        "lw-vcomply"
      ],
      "i18n": {
        "fr": {
          "use_cases": [
            "Recherche d'obligations de conformité",
            "Statuts de programmes et responsabilités",
            "Analyse de performance",
            "Commentaires et clôture de tâches depuis l'assistant"
          ],
          "fit": "Équipes conformité souhaitant interroger leur GRC depuis l'assistant sans dupliquer le système de référence.",
          "caution": "L'exécution du workflow ne remplace ni l'interprétation réglementaire ni la revue de preuve."
        },
        "it": {
          "use_cases": [
            "Ricerca obblighi di compliance",
            "Stato programmi e responsabilità",
            "Performance",
            "Commenti e chiusura task dall'assistente"
          ],
          "fit": "Team compliance che vogliono interrogare il GRC dall'assistente senza duplicare il sistema di record.",
          "caution": "Workflow e retrieval non sostituiscono interpretazione normativa né revisione delle evidenze."
        }
      },
      "institutional": {
        "availability": {
          "status": "commercial",
          "detail": "Commercial GRC SaaS; MCP connectivity documented by VComply and in VOCE source review."
        },
        "deployment": [
          "Vendor-managed SaaS"
        ],
        "regions": [],
        "data_residency": {
          "status": "not_public",
          "detail": "No customer-selectable region statement was located in the public security and pricing pages reviewed."
        },
        "identity_access": {
          "status": "documented",
          "controls": [
            "SSO",
            "2FA",
            "Least-privilege access",
            "Password policies"
          ]
        },
        "auditability": {
          "status": "documented",
          "controls": [
            "Continuous monitoring",
            "Detailed audit trails",
            "User/data/system-event logging"
          ]
        },
        "interfaces": [
          "MCP",
          "GRC workflows",
          "Assistant integrations"
        ],
        "mcp": {
          "status": "documented"
        },
        "pricing": {
          "status": "public_partial",
          "public": true,
          "detail": "Pro modules start at $1,000/month, invoiced annually with a 12-month minimum; enterprise features and special packages vary."
        },
        "security_certifications": [
          "SOC 2 Type 2",
          "HIPAA",
          "ISO/IEC 27001 compliant"
        ],
        "documentation_coverage": "high",
        "source_urls": [
          "https://www.v-comply.com/security/",
          "https://www.v-comply.com/pricing/"
        ]
      },
      "origin_country": "United States",
      "openness": "proprietary_service",
      "license": "Commercial / service terms",
      "self_hosting": false,
      "commercial_use": "commercial_service"
    },
    {
      "id": "positive-group-mcp",
      "vendor": "Positive Group",
      "product": "MCP connectors for Surfer, Iconosquare and Signitic",
      "layer": "vertical-tools",
      "sectors": [
        "marketing"
      ],
      "use_cases": [
        "SEO analysis",
        "Social analytics and publishing",
        "Brand-signature compliance",
        "Cross-tool marketing workflows"
      ],
      "autonomy": "supervised action",
      "human_control": "The connected SaaS remains the data and permission boundary; write actions should remain explicit and scoped.",
      "fit": "Marketing teams reducing manual transfer among specialist SaaS tools.",
      "caution": "MCP reduces interface switching; it does not create marketing judgment or eliminate the need for brand and publishing controls.",
      "verified_at": "2026-09-25",
      "official_sources": [
        "https://positive.co/"
      ],
      "voce_evidence": [
        "lw-positive-mcp"
      ],
      "i18n": {
        "fr": {
          "use_cases": [
            "Analyse SEO",
            "Analytics et publication sociale",
            "Conformité des signatures de marque",
            "Workflows marketing inter-outils"
          ],
          "fit": "Équipes marketing voulant réduire les transferts manuels entre SaaS spécialisés.",
          "caution": "MCP réduit la navigation entre interfaces; il ne remplace pas le jugement marketing ni les contrôles de publication."
        },
        "it": {
          "use_cases": [
            "Analisi SEO",
            "Analytics e pubblicazione social",
            "Compliance firme di brand",
            "Workflow marketing tra strumenti"
          ],
          "fit": "Team marketing che vogliono ridurre i passaggi manuali fra SaaS specialistici.",
          "caution": "MCP riduce il cambio di interfaccia; non sostituisce il giudizio marketing o i controlli di pubblicazione."
        }
      },
      "institutional": {
        "availability": {
          "status": "mixed",
          "detail": "MCP availability varies by Positive Group product. Iconosquare MCP is public; Surfer MCP was announced in beta with staged plan rollout."
        },
        "deployment": [
          "Vendor-managed SaaS products"
        ],
        "regions": [],
        "data_residency": {
          "status": "not_assessed",
          "detail": "This aggregate entry spans multiple products; residency must be assessed per Surfer, Iconosquare and Signitic contract."
        },
        "identity_access": {
          "status": "product_dependent",
          "controls": [
            "Product account authentication",
            "MCP authorization per product"
          ]
        },
        "auditability": {
          "status": "product_dependent"
        },
        "interfaces": [
          "MCP",
          "Iconosquare analytics/publishing",
          "Surfer SEO/AI visibility",
          "Signitic brand tooling"
        ],
        "mcp": {
          "status": "documented"
        },
        "pricing": {
          "status": "product_dependent",
          "public": true,
          "detail": "Pricing is set separately by each Positive Group product and MCP rollout may depend on plan."
        },
        "security_certifications": [],
        "documentation_coverage": "medium",
        "source_urls": [
          "https://www.iconosquare.com/mcp",
          "https://www.iconosquare.com/product-updates",
          "https://surferseo.com/updates/surfer-mcp-august2026/"
        ]
      },
      "origin_country": "France",
      "openness": "hosted_tools",
      "license": "Proprietary services",
      "self_hosting": false,
      "commercial_use": "commercial_service"
    },
    {
      "id": "unit42-continuous",
      "vendor": "Palo Alto Networks Unit 42",
      "product": "Continuous Frontier AI Defense",
      "layer": "cyber",
      "sectors": [
        "it"
      ],
      "use_cases": [
        "Continuous attack-surface mapping",
        "Multi-model offensive testing",
        "Vulnerability validation",
        "Attack-path discovery"
      ],
      "autonomy": "supervised offensive automation",
      "human_control": "Security experts remain responsible for scope, authorisation, criticality, validation and remediation decisions.",
      "fit": "Security organisations moving from periodic pentests toward continuous testing.",
      "caution": "Provider performance claims should be independently validated in the organisation's environment before staffing decisions.",
      "verified_at": "2026-09-24",
      "official_sources": [
        "https://www.paloaltonetworks.com/unit42"
      ],
      "voce_evidence": [
        "lw-unit42",
        "lw-cyber-adaptation",
        "lw-agent-evaluation"
      ],
      "i18n": {
        "fr": {
          "use_cases": [
            "Cartographie continue de surface d'attaque",
            "Tests offensifs multi-modèles",
            "Validation de vulnérabilités",
            "Découverte de chemins d'attaque"
          ],
          "fit": "Organisations cyber passant du pentest périodique au test continu.",
          "caution": "Les performances annoncées par le fournisseur doivent être vérifiées dans l'environnement propre avant toute décision d'effectif."
        },
        "it": {
          "use_cases": [
            "Mappatura continua superficie d'attacco",
            "Test offensivi multi-model",
            "Validazione vulnerabilità",
            "Scoperta attack path"
          ],
          "fit": "Organizzazioni cyber che passano dal pentest periodico al testing continuo.",
          "caution": "Le performance dichiarate dal vendor vanno validate nell'ambiente specifico prima di decisioni sulla struttura del team."
        }
      },
      "institutional": {
        "availability": {
          "status": "service",
          "detail": "Expert-led continuous offensive-security service announced 2026-09-22."
        },
        "deployment": [
          "Managed expert service",
          "Customer-defined testing scope"
        ],
        "regions": [],
        "data_residency": {
          "status": "not_public",
          "detail": "No standardized public data-residency statement for this consulting/security service was located in the sources reviewed."
        },
        "identity_access": {
          "status": "engagement_defined",
          "controls": [
            "Testing scope and authorization agreed with customer"
          ]
        },
        "auditability": {
          "status": "service_deliverable",
          "controls": [
            "Validated attack paths",
            "Remediation recommendations",
            "Continuous re-testing"
          ]
        },
        "interfaces": [
          "Ticketing-system remediation integration",
          "Enterprise estate testing"
        ],
        "mcp": {
          "status": "not_applicable"
        },
        "pricing": {
          "status": "contact_sales",
          "public": false
        },
        "security_certifications": [],
        "documentation_coverage": "medium",
        "source_urls": [
          "https://www.paloaltonetworks.com/resources/datasheets/unit-42-continuous-frontier-ai-defense",
          "https://www.paloaltonetworks.com/unit42/frontier-ai-defense"
        ]
      },
      "origin_country": "United States",
      "openness": "proprietary_service",
      "license": "Commercial / service terms",
      "self_hosting": false,
      "commercial_use": "commercial_service"
    },
    {
      "id": "hcl-robotiq",
      "vendor": "HCLSoftware / Robotiq.ai",
      "product": "UnO Agentic + Robotiq.ai RPA",
      "layer": "legacy-execution",
      "sectors": [
        "banking",
        "finance",
        "it",
        "cross"
      ],
      "use_cases": [
        "Agent execution in legacy applications without usable APIs",
        "RPA-based operational handoffs",
        "Banking and insurance back-office automation"
      ],
      "autonomy": "governed execution",
      "human_control": "Identity, authorisation, audit and transaction boundaries remain essential when agents manipulate legacy interfaces.",
      "fit": "Enterprises whose critical workflows still live behind browser or desktop interfaces rather than modern APIs.",
      "caution": "UI automation can be brittle. Regression testing and auditability are mandatory when interfaces change.",
      "verified_at": "2026-09-30",
      "official_sources": [
        "https://www.hcl-software.com/"
      ],
      "voce_evidence": [
        "lw-hcl-robotiq",
        "lw-spiffe",
        "lw-agent-permissions"
      ],
      "i18n": {
        "fr": {
          "use_cases": [
            "Exécution agentique dans les applications sans API",
            "Passages opérationnels par RPA",
            "Automatisation back-office banque et assurance"
          ],
          "fit": "Entreprises dont les processus critiques restent derrière des interfaces web ou desktop legacy.",
          "caution": "L'automatisation d'interface est fragile: tests de régression et audit sont indispensables après tout changement."
        },
        "it": {
          "use_cases": [
            "Esecuzione agentica in applicazioni senza API",
            "Passaggi operativi via RPA",
            "Automazione back-office banca e assicurazioni"
          ],
          "fit": "Imprese con processi critici ancora dietro interfacce web o desktop legacy.",
          "caution": "L'automazione UI può essere fragile: regression test e audit sono obbligatori dopo cambiamenti."
        }
      },
      "institutional": {
        "availability": {
          "status": "acquisition_pending",
          "detail": "HCLSoftware announced intent to acquire Robotiq.ai on 2026-09-28; closing was expected in November 2026. Product integration therefore remains transition-stage."
        },
        "deployment": [
          "Flexible deployment options",
          "RPA execution",
          "HCL UnO Agentic orchestration"
        ],
        "regions": [],
        "data_residency": {
          "status": "not_public"
        },
        "identity_access": {
          "status": "partial",
          "controls": [
            "Enterprise governance depends on deployment and orchestrated process"
          ]
        },
        "auditability": {
          "status": "documented",
          "controls": [
            "Audit logs",
            "HCL orchestration audit trails"
          ]
        },
        "interfaces": [
          "RPA",
          "Legacy UI automation",
          "SAP/workflow orchestration",
          "HCL Universal Orchestrator"
        ],
        "mcp": {
          "status": "not_public"
        },
        "pricing": {
          "status": "contact_sales",
          "public": false
        },
        "security_certifications": [
          "Robotiq.ai: ISO-certified security (specific certificates not enumerated in HCL acquisition release)"
        ],
        "documentation_coverage": "medium",
        "source_urls": [
          "https://www.hcl-software.com/news/28-9-26-hclsoftware-to-acquire-robotiq-ai-strengthening-enterprise-agentic-automation"
        ]
      },
      "origin_country": "India",
      "openness": "proprietary_service",
      "license": "Commercial / service terms",
      "self_hosting": false,
      "commercial_use": "commercial_service"
    },
    {
      "id": "qwen36-open",
      "vendor": "Alibaba / Qwen",
      "product": "Qwen3.6 Open-Weight Models",
      "layer": "open-model",
      "sectors": [
        "legal",
        "hr",
        "finance",
        "culture",
        "marketing",
        "banking",
        "it",
        "cross"
      ],
      "use_cases": [
        "Self-hosted reasoning and coding agents",
        "Private RAG and document assistants",
        "Tool-using workflows",
        "Fine-tuned domain models",
        "On-premise or private-cloud inference"
      ],
      "autonomy": "build-dependent",
      "human_control": "The deploying organisation owns the surrounding RAG, permissions, evaluation, logging and action policy.",
      "fit": "Teams that want Alibaba's current Qwen family without depending on Model Studio for inference.",
      "caution": "Qwen3.6 is open-weight under Apache 2.0, but an open-weight model is not a ready-made legal, HR or accounting system. Training-data transparency and operational controls remain separate questions.",
      "verified_at": "2026-10-05",
      "official_sources": [
        "https://github.com/AlibabaCloud-Official/Qwen3.6",
        "https://huggingface.co/Qwen"
      ],
      "voce_evidence": [
        "lw-mcp-scale",
        "lw-agent-permissions",
        "lw-agent-evaluation"
      ],
      "origin_country": "China",
      "openness": "open_weight",
      "license": "Apache-2.0",
      "self_hosting": true,
      "commercial_use": "permitted",
      "i18n": {
        "fr": {
          "use_cases": [
            "Agents de raisonnement et de code auto-hébergés",
            "RAG privé et assistants documentaires",
            "Workflows avec outils",
            "Modèles métier fine-tunés",
            "Inférence on-premise ou cloud privé"
          ],
          "fit": "Équipes voulant utiliser la famille Qwen actuelle sans dépendre de Model Studio pour l'inférence.",
          "caution": "Qwen3.6 est open-weight sous Apache 2.0, mais un modèle ouvert n'est pas un système juridique, RH ou comptable prêt à l'emploi. La transparence des données d'entraînement et les contrôles opérationnels restent des sujets distincts."
        },
        "it": {
          "use_cases": [
            "Agenti di reasoning e coding self-hosted",
            "RAG privato e assistenti documentali",
            "Workflow con tool",
            "Modelli verticali fine-tuned",
            "Inferenza on-premise o private cloud"
          ],
          "fit": "Team che vogliono usare l'attuale famiglia Qwen senza dipendere da Model Studio per l'inferenza.",
          "caution": "Qwen3.6 è open-weight sotto Apache 2.0, ma un modello aperto non è un sistema legale, HR o contabile pronto all'uso. Trasparenza dei dati di training e controlli operativi restano temi separati."
        }
      },
      "institutional": {
        "availability": {
          "status": "open_release",
          "detail": "Qwen3.6 open-weight releases are published on Hugging Face and ModelScope; the official repository lists 35B-A3B and 27B releases in April 2026."
        },
        "deployment": [
          "Self-hosted",
          "Private cloud",
          "Hugging Face / ModelScope downloads",
          "vLLM",
          "SGLang",
          "Transformers"
        ],
        "regions": [
          "Deployment-defined"
        ],
        "data_residency": {
          "status": "deployment_controlled",
          "detail": "With self-hosting, the operator controls the hosting region and storage boundary; this does not describe QwenCloud or Alibaba-hosted services."
        },
        "identity_access": {
          "status": "deployment_controlled",
          "controls": [
            "Defined by serving stack and organisation IAM"
          ]
        },
        "auditability": {
          "status": "deployment_controlled",
          "controls": [
            "Defined by serving and agent stack"
          ]
        },
        "interfaces": [
          "Transformers",
          "vLLM",
          "SGLang",
          "Agent frameworks",
          "Tool use"
        ],
        "mcp": {
          "status": "ecosystem",
          "detail": "Qwen-Agent and surrounding frameworks support tool use and MCP."
        },
        "pricing": {
          "status": "open_weights",
          "public": true,
          "detail": "Model weights are downloadable; infrastructure and operations remain the deployer's cost."
        },
        "security_certifications": [],
        "documentation_coverage": "high",
        "source_urls": [
          "https://github.com/AlibabaCloud-Official/Qwen3.6",
          "https://github.com/QwenLM/Qwen3"
        ]
      }
    },
    {
      "id": "deepseek-open",
      "vendor": "DeepSeek",
      "product": "DeepSeek Open Models",
      "layer": "open-model",
      "sectors": [
        "legal",
        "finance",
        "banking",
        "it",
        "cross"
      ],
      "use_cases": [
        "Private reasoning workloads",
        "Self-hosted coding and analytical agents",
        "Long-context experimentation",
        "Distillation and domain adaptation"
      ],
      "autonomy": "build-dependent",
      "human_control": "The organisation controls deployment, evaluation, permissions and any action layer around the model.",
      "fit": "Engineering teams prioritising commercially usable downloadable weights and self-hosting.",
      "caution": "DeepSeek-R1 is a mature open release under MIT; DeepSeek-V3.2-Exp is explicitly experimental. VOCE should not present an experimental architecture as a production default.",
      "verified_at": "2026-10-05",
      "official_sources": [
        "https://github.com/deepseek-ai/DeepSeek-R1",
        "https://github.com/deepseek-ai/DeepSeek-V3.2-Exp"
      ],
      "voce_evidence": [
        "lw-agent-evaluation",
        "lw-agent-explanations",
        "lw-mcp-scale"
      ],
      "origin_country": "China",
      "openness": "code_and_weights",
      "license": "MIT (R1; V3.2-Exp repository also marked MIT)",
      "self_hosting": true,
      "commercial_use": "permitted",
      "i18n": {
        "fr": {
          "use_cases": [
            "Raisonnement privé",
            "Agents de code et d'analyse auto-hébergés",
            "Expérimentation long contexte",
            "Distillation et adaptation métier"
          ],
          "fit": "Équipes techniques privilégiant des poids téléchargeables, utilisables commercialement et auto-hébergeables.",
          "caution": "DeepSeek-R1 est une publication ouverte établie sous MIT; DeepSeek-V3.2-Exp est explicitement expérimental. VOCE ne doit pas présenter une architecture expérimentale comme choix de production par défaut."
        },
        "it": {
          "use_cases": [
            "Reasoning privato",
            "Agenti di coding e analisi self-hosted",
            "Sperimentazione long-context",
            "Distillazione e adattamento verticale"
          ],
          "fit": "Team tecnici che privilegiano pesi scaricabili, uso commerciale e self-hosting.",
          "caution": "DeepSeek-R1 è una release aperta consolidata sotto MIT; DeepSeek-V3.2-Exp è esplicitamente sperimentale. VOCE non deve presentare un'architettura sperimentale come default produttivo."
        }
      },
      "institutional": {
        "availability": {
          "status": "open_release",
          "detail": "DeepSeek-R1 weights and code are publicly released; V3.2-Exp is a separate experimental public release."
        },
        "deployment": [
          "Self-hosted",
          "Hugging Face",
          "Local/private cloud inference"
        ],
        "regions": [
          "Deployment-defined"
        ],
        "data_residency": {
          "status": "deployment_controlled",
          "detail": "Self-hosted deployment allows the operator to choose the data boundary; hosted DeepSeek services have separate terms."
        },
        "identity_access": {
          "status": "deployment_controlled",
          "controls": [
            "Defined by serving stack"
          ]
        },
        "auditability": {
          "status": "deployment_controlled",
          "controls": [
            "Defined by serving and agent stack"
          ]
        },
        "interfaces": [
          "Local inference",
          "Hugging Face ecosystem",
          "Custom agent stacks"
        ],
        "mcp": {
          "status": "ecosystem"
        },
        "pricing": {
          "status": "open_weights",
          "public": true,
          "detail": "Weights/code are downloadable; compute and operations remain the operator's cost."
        },
        "security_certifications": [],
        "documentation_coverage": "high",
        "source_urls": [
          "https://github.com/deepseek-ai/DeepSeek-R1",
          "https://github.com/deepseek-ai/DeepSeek-V3.2-Exp"
        ]
      }
    },
    {
      "id": "kimi-k3-open",
      "vendor": "Moonshot AI",
      "product": "Kimi K3",
      "layer": "open-model",
      "sectors": [
        "legal",
        "finance",
        "culture",
        "marketing",
        "it",
        "cross"
      ],
      "use_cases": [
        "Native multimodal agentic systems",
        "Long-horizon coding",
        "Long-context knowledge work",
        "Private multimodal assistants",
        "Self-hosted agent research"
      ],
      "autonomy": "build-dependent",
      "human_control": "Application permissions, audit and business-domain validation remain the deployer's responsibility.",
      "fit": "Teams wanting a very large multimodal agentic model with downloadable weights and a 1-million-token context window.",
      "caution": "Kimi K3 uses a custom Kimi K3 License, not Apache/MIT. Commercial Model-as-a-Service use has specific conditions, including a separate-agreement trigger for qualifying MaaS operators.",
      "verified_at": "2026-10-05",
      "official_sources": [
        "https://github.com/MoonshotAI/Kimi-K3"
      ],
      "voce_evidence": [
        "lw-agent-evaluation",
        "lw-agent-explanations"
      ],
      "origin_country": "China",
      "openness": "open_weight_custom_license",
      "license": "Kimi K3 License",
      "self_hosting": true,
      "commercial_use": "conditional",
      "i18n": {
        "fr": {
          "use_cases": [
            "Systèmes agentiques multimodaux natifs",
            "Code long horizon",
            "Travail de connaissance très long contexte",
            "Assistants multimodaux privés",
            "Recherche agentique auto-hébergée"
          ],
          "fit": "Équipes recherchant un très grand modèle multimodal agentique avec poids téléchargeables et contexte d'un million de tokens.",
          "caution": "Kimi K3 utilise une licence Kimi K3 spécifique, pas Apache/MIT. L'usage commercial Model-as-a-Service comporte des conditions particulières et peut exiger un accord séparé."
        },
        "it": {
          "use_cases": [
            "Sistemi agentici multimodali nativi",
            "Coding long-horizon",
            "Knowledge work con contesto molto lungo",
            "Assistenti multimodali privati",
            "Ricerca agentica self-hosted"
          ],
          "fit": "Team che cercano un modello multimodale agentico molto grande con pesi scaricabili e contesto da un milione di token.",
          "caution": "Kimi K3 usa una licenza Kimi K3 specifica, non Apache/MIT. L'uso commerciale Model-as-a-Service ha condizioni particolari e può richiedere un accordo separato."
        }
      },
      "institutional": {
        "availability": {
          "status": "open_release",
          "detail": "Code and model weights are publicly released under the Kimi K3 License."
        },
        "deployment": [
          "Self-hosted",
          "Hugging Face / ModelScope",
          "Private infrastructure"
        ],
        "regions": [
          "Deployment-defined"
        ],
        "data_residency": {
          "status": "deployment_controlled",
          "detail": "Self-hosting lets the operator choose the hosting boundary."
        },
        "identity_access": {
          "status": "deployment_controlled",
          "controls": [
            "Defined by serving and agent stack"
          ]
        },
        "auditability": {
          "status": "deployment_controlled",
          "controls": [
            "Defined by serving and agent stack"
          ]
        },
        "interfaces": [
          "Open-weight inference ecosystem",
          "Multimodal agent stacks"
        ],
        "mcp": {
          "status": "ecosystem"
        },
        "pricing": {
          "status": "open_weights",
          "public": true,
          "detail": "Weights are downloadable; license conditions must be reviewed for commercial MaaS deployment."
        },
        "security_certifications": [],
        "documentation_coverage": "high",
        "source_urls": [
          "https://github.com/MoonshotAI/Kimi-K3",
          "https://github.com/MoonshotAI/Kimi-K3/blob/main/LICENSE"
        ]
      }
    },
    {
      "id": "glm47-open",
      "vendor": "Z.ai / Zhipu AI",
      "product": "GLM-4.7 Open Models",
      "layer": "open-model",
      "sectors": [
        "legal",
        "finance",
        "it",
        "cross"
      ],
      "use_cases": [
        "Agentic coding",
        "Tool-using private agents",
        "Reasoning workloads",
        "Fine-tuned enterprise models",
        "Self-hosted inference including GPU/NPU environments"
      ],
      "autonomy": "build-dependent",
      "human_control": "The application owner remains responsible for data grounding, permissions, testing and actions.",
      "fit": "Teams wanting to separate Z.ai's hosted API from downloadable GLM model deployment.",
      "caution": "The current repository contains several GLM generations and license history differs across releases. VOCE should bind the license statement to the exact checkpoint selected for deployment.",
      "verified_at": "2026-10-05",
      "official_sources": [
        "https://github.com/zai-org/GLM-4.5"
      ],
      "voce_evidence": [
        "lw-agent-evaluation",
        "lw-mcp-scale"
      ],
      "origin_country": "China",
      "openness": "open_weight",
      "license": "Apache-2.0 repository license; verify checkpoint-specific model card",
      "self_hosting": true,
      "commercial_use": "verify_checkpoint",
      "i18n": {
        "fr": {
          "use_cases": [
            "Code agentique",
            "Agents privés utilisant des outils",
            "Raisonnement",
            "Modèles entreprise fine-tunés",
            "Inférence auto-hébergée GPU/NPU"
          ],
          "fit": "Équipes voulant distinguer l'API hébergée Z.ai du déploiement de modèles GLM téléchargeables.",
          "caution": "Le dépôt courant contient plusieurs générations GLM et l'historique des licences varie selon les versions. VOCE doit rattacher la licence au checkpoint exact retenu."
        },
        "it": {
          "use_cases": [
            "Coding agentico",
            "Agenti privati con tool",
            "Reasoning",
            "Modelli enterprise fine-tuned",
            "Inferenza self-hosted GPU/NPU"
          ],
          "fit": "Team che vogliono separare l'API hosted Z.ai dal deployment dei modelli GLM scaricabili.",
          "caution": "Il repository corrente contiene più generazioni GLM e la storia delle licenze varia per release. VOCE deve associare la licenza al checkpoint esatto scelto."
        }
      },
      "institutional": {
        "availability": {
          "status": "open_release",
          "detail": "GLM-4.7, GLM-4.6 and related checkpoints are publicly downloadable from linked model hubs."
        },
        "deployment": [
          "Self-hosted",
          "Hugging Face",
          "ModelScope",
          "vLLM",
          "SGLang",
          "GPU / Ascend NPU"
        ],
        "regions": [
          "Deployment-defined"
        ],
        "data_residency": {
          "status": "deployment_controlled",
          "detail": "Self-hosted deployment allows operator-selected boundaries."
        },
        "identity_access": {
          "status": "deployment_controlled",
          "controls": [
            "Defined by serving stack"
          ]
        },
        "auditability": {
          "status": "deployment_controlled",
          "controls": [
            "Defined by serving stack"
          ]
        },
        "interfaces": [
          "Transformers",
          "vLLM",
          "SGLang",
          "Agent frameworks",
          "Tool use"
        ],
        "mcp": {
          "status": "ecosystem"
        },
        "pricing": {
          "status": "open_weights",
          "public": true,
          "detail": "Downloadable weights; infrastructure cost remains with the operator."
        },
        "security_certifications": [],
        "documentation_coverage": "medium",
        "source_urls": [
          "https://github.com/zai-org/GLM-4.5",
          "https://github.com/zai-org/GLM-4.5/blob/main/LICENSE"
        ]
      }
    },
    {
      "id": "ernie45-open",
      "vendor": "Baidu / PaddlePaddle",
      "product": "ERNIE 4.5 Open Models",
      "layer": "open-model",
      "sectors": [
        "legal",
        "finance",
        "culture",
        "marketing",
        "it",
        "cross"
      ],
      "use_cases": [
        "Text and multimodal private assistants",
        "Contract information extraction",
        "Document translation",
        "Fine-tuning and LoRA",
        "Self-hosted multimodal inference"
      ],
      "autonomy": "build-dependent",
      "human_control": "The deployment owner controls the model, data, tool permissions and domain validation.",
      "fit": "Organisations wanting an Apache-2.0 Chinese model family with industrial training/deployment tooling through PaddlePaddle, ERNIEKit and FastDeploy.",
      "caution": "The ERNIE 4.5 family contains multiple text and vision-language sizes; compute requirements and production suitability differ materially by checkpoint.",
      "verified_at": "2026-10-05",
      "official_sources": [
        "https://github.com/PaddlePaddle/ERNIE"
      ],
      "voce_evidence": [
        "lw-doc-intelligence",
        "lw-agent-evaluation"
      ],
      "origin_country": "China",
      "openness": "open_weight_and_toolkit",
      "license": "Apache-2.0",
      "self_hosting": true,
      "commercial_use": "permitted",
      "i18n": {
        "fr": {
          "use_cases": [
            "Assistants privés texte et multimodaux",
            "Extraction d'informations contractuelles",
            "Traduction documentaire",
            "Fine-tuning et LoRA",
            "Inférence multimodale auto-hébergée"
          ],
          "fit": "Organisations voulant une famille chinoise Apache 2.0 avec outillage industriel PaddlePaddle, ERNIEKit et FastDeploy.",
          "caution": "ERNIE 4.5 regroupe plusieurs tailles texte et vision-langage; besoins de calcul et aptitude production varient fortement selon le checkpoint."
        },
        "it": {
          "use_cases": [
            "Assistenti privati testuali e multimodali",
            "Estrazione informazioni contrattuali",
            "Traduzione documentale",
            "Fine-tuning e LoRA",
            "Inferenza multimodale self-hosted"
          ],
          "fit": "Organizzazioni che vogliono una famiglia cinese Apache 2.0 con tooling industriale PaddlePaddle, ERNIEKit e FastDeploy.",
          "caution": "ERNIE 4.5 comprende più dimensioni text e vision-language; requisiti compute e idoneità production cambiano molto per checkpoint."
        }
      },
      "institutional": {
        "availability": {
          "status": "open_release",
          "detail": "ERNIE 4.5 model weights and development toolkit are publicly released."
        },
        "deployment": [
          "Self-hosted",
          "Hugging Face",
          "AI Studio",
          "PaddlePaddle",
          "FastDeploy"
        ],
        "regions": [
          "Deployment-defined"
        ],
        "data_residency": {
          "status": "deployment_controlled",
          "detail": "Self-hosted deployment lets the operator define the data boundary."
        },
        "identity_access": {
          "status": "deployment_controlled",
          "controls": [
            "Defined by serving stack"
          ]
        },
        "auditability": {
          "status": "deployment_controlled",
          "controls": [
            "Defined by serving stack"
          ]
        },
        "interfaces": [
          "PaddlePaddle",
          "ERNIEKit",
          "FastDeploy",
          "Hugging Face"
        ],
        "mcp": {
          "status": "ecosystem"
        },
        "pricing": {
          "status": "open_weights",
          "public": true,
          "detail": "Apache-2.0 downloadable models; deployment compute remains the operator's cost."
        },
        "security_certifications": [],
        "documentation_coverage": "high",
        "source_urls": [
          "https://github.com/PaddlePaddle/ERNIE",
          "https://github.com/PaddlePaddle/ERNIE/blob/release/v1.5/LICENSE"
        ]
      }
    },
    {
      "id": "minimax-m27",
      "vendor": "MiniMax",
      "product": "MiniMax M2.7",
      "layer": "open-model",
      "sectors": [
        "it",
        "cross"
      ],
      "use_cases": [
        "Agent harness development",
        "Coding agents",
        "Tool-search workflows",
        "Self-hosted research and personal development"
      ],
      "autonomy": "build-dependent",
      "human_control": "The operator controls the serving and agent layer.",
      "fit": "Research and non-commercial experimentation where MiniMax's agent-oriented model capabilities are relevant.",
      "caution": "Do not label M2.7 'open source' for enterprise procurement. Its 2026 license permits non-commercial use by default and requires prior written authorization for commercial use.",
      "verified_at": "2026-10-05",
      "official_sources": [
        "https://github.com/MiniMax-AI/MiniMax-M2.7",
        "https://github.com/MiniMax-AI/MiniMax-M2.7/blob/main/LICENSE"
      ],
      "voce_evidence": [
        "lw-agent-evaluation",
        "lw-mcp-scale"
      ],
      "origin_country": "China",
      "openness": "source_available_restricted",
      "license": "MiniMax M2.7 Non-Commercial License",
      "self_hosting": true,
      "commercial_use": "authorization_required",
      "i18n": {
        "fr": {
          "use_cases": [
            "Développement de harness agentiques",
            "Agents de code",
            "Workflows de recherche d'outils",
            "Recherche et développement personnel auto-hébergés"
          ],
          "fit": "Recherche et expérimentation non commerciale lorsque les capacités agentiques de MiniMax sont pertinentes.",
          "caution": "Ne pas qualifier M2.7 d'open source dans un achat entreprise. Sa licence 2026 autorise par défaut les usages non commerciaux et exige une autorisation écrite préalable pour l'usage commercial."
        },
        "it": {
          "use_cases": [
            "Sviluppo di agent harness",
            "Agenti di coding",
            "Workflow di tool search",
            "Ricerca e sviluppo personale self-hosted"
          ],
          "fit": "Ricerca e sperimentazione non commerciale quando le capacità agentiche MiniMax sono pertinenti.",
          "caution": "Non definire M2.7 open source in procurement enterprise. La licenza 2026 consente di default l'uso non commerciale e richiede autorizzazione scritta preventiva per l'uso commerciale."
        }
      },
      "institutional": {
        "availability": {
          "status": "source_available",
          "detail": "Repository and weights are publicly accessible, subject to the MiniMax M2.7 Non-Commercial License."
        },
        "deployment": [
          "Self-hosted",
          "Hugging Face / ModelScope",
          "MiniMax API separately available"
        ],
        "regions": [
          "Deployment-defined"
        ],
        "data_residency": {
          "status": "deployment_controlled",
          "detail": "Self-hosted non-commercial deployment lets the operator choose the hosting boundary; hosted API terms are separate."
        },
        "identity_access": {
          "status": "deployment_controlled",
          "controls": [
            "Defined by serving stack"
          ]
        },
        "auditability": {
          "status": "deployment_controlled",
          "controls": [
            "Defined by serving stack"
          ]
        },
        "interfaces": [
          "Local inference ecosystem",
          "MiniMax MCP ecosystem",
          "Agent frameworks"
        ],
        "mcp": {
          "status": "ecosystem"
        },
        "pricing": {
          "status": "license_restricted",
          "public": false,
          "detail": "Commercial use requires prior written authorization under the repository's 2026 license."
        },
        "security_certifications": [],
        "documentation_coverage": "high",
        "source_urls": [
          "https://github.com/MiniMax-AI/MiniMax-M2.7",
          "https://github.com/MiniMax-AI/MiniMax-M2.7/blob/main/LICENSE"
        ]
      }
    },
    {
      "id": "tencent-hy3-open",
      "vendor": "Tencent Hy",
      "product": "Hy3",
      "layer": "open-model",
      "sectors": [
        "legal",
        "finance",
        "banking",
        "it",
        "cross"
      ],
      "use_cases": [
        "Self-hosted reasoning agents",
        "Agentic enterprise workflows",
        "Private coding and tool-use systems",
        "Fine-tuning and reinforcement post-training",
        "Quantized private inference"
      ],
      "autonomy": "build-dependent",
      "human_control": "The deployer controls data, serving, permissions, evaluation and the agent/action layer.",
      "fit": "Institutions that want a current Tencent reasoning/agent model under a permissive Apache-2.0 release rather than older Hunyuan community-licensed checkpoints.",
      "caution": "Tencent's older Hunyuan releases used materially different community licences, including territorial restrictions. Hy3 must therefore be evaluated by its own checkpoint and licence, not by assuming the entire Hunyuan family shares one legal regime.",
      "verified_at": "2026-10-05",
      "official_sources": [
        "https://github.com/Tencent-Hunyuan/Hy3"
      ],
      "voce_evidence": [
        "lw-agent-evaluation",
        "lw-mcp-scale",
        "lw-agent-permissions"
      ],
      "origin_country": "China",
      "openness": "code_and_weights",
      "license": "Apache-2.0",
      "self_hosting": true,
      "commercial_use": "permitted",
      "i18n": {
        "fr": {
          "use_cases": [
            "Agents de raisonnement auto-hébergés",
            "Workflows d'entreprise agentiques",
            "Systèmes privés de code et d'usage d'outils",
            "Fine-tuning et post-entraînement par renforcement",
            "Inférence privée quantifiée"
          ],
          "fit": "Institutions recherchant un modèle Tencent récent de raisonnement et d'agents sous Apache 2.0, plutôt que d'anciens checkpoints Hunyuan soumis à une licence communautaire différente.",
          "caution": "Les anciennes publications Hunyuan de Tencent utilisaient des licences sensiblement différentes, avec notamment des restrictions territoriales. Hy3 doit donc être évalué sur son checkpoint et sa licence propres."
        },
        "it": {
          "use_cases": [
            "Agenti di reasoning self-hosted",
            "Workflow enterprise agentici",
            "Sistemi privati di coding e tool use",
            "Fine-tuning e reinforcement post-training",
            "Inferenza privata quantizzata"
          ],
          "fit": "Istituzioni che cercano un modello Tencent recente per reasoning e agenti sotto Apache 2.0, invece di vecchi checkpoint Hunyuan soggetti a licenze community differenti.",
          "caution": "Le release Hunyuan precedenti di Tencent usavano licenze materialmente diverse, incluse restrizioni territoriali. Hy3 va quindi valutato sul proprio checkpoint e sulla propria licenza."
        }
      },
      "institutional": {
        "availability": {
          "status": "open_release",
          "detail": "Hy3 is publicly released with code and model resources and is described by Tencent as a reasoning and agent model."
        },
        "deployment": [
          "Self-hosted",
          "Private cloud",
          "vLLM",
          "Fine-tuning / RL post-training stack"
        ],
        "regions": [
          "Deployment-defined"
        ],
        "data_residency": {
          "status": "deployment_controlled",
          "detail": "Self-hosted deployment lets the operator select the hosting and storage boundary."
        },
        "identity_access": {
          "status": "deployment_controlled",
          "controls": [
            "Defined by serving and agent stack"
          ]
        },
        "auditability": {
          "status": "deployment_controlled",
          "controls": [
            "Defined by serving and agent stack"
          ]
        },
        "interfaces": [
          "vLLM",
          "Fine-tuning pipeline",
          "RL post-training",
          "Quantization toolchain"
        ],
        "mcp": {
          "status": "ecosystem"
        },
        "pricing": {
          "status": "open_weights",
          "public": true,
          "detail": "Apache-2.0 model release; compute, hosting and operations remain the deployer's cost."
        },
        "security_certifications": [],
        "documentation_coverage": "high",
        "source_urls": [
          "https://github.com/Tencent-Hunyuan/Hy3",
          "https://github.com/Tencent-Hunyuan/Hy3/blob/main/LICENSE"
        ]
      }
    },
    {
      "id": "stepfun-step3-open",
      "vendor": "StepFun",
      "product": "Step3",
      "layer": "open-model",
      "sectors": [
        "culture",
        "marketing",
        "it",
        "cross"
      ],
      "use_cases": [
        "Self-hosted multimodal intelligence",
        "Private visual-document workflows",
        "Multimodal agents",
        "vLLM/SGLang serving",
        "Research and enterprise model adaptation"
      ],
      "autonomy": "build-dependent",
      "human_control": "The operator defines data access, serving controls, domain validation and any downstream action layer.",
      "fit": "Teams wanting an Apache-2.0 multimodal Chinese model with both code and weights released and straightforward vLLM/SGLang deployment paths.",
      "caution": "Step3 is a model component rather than a packaged institutional application. Governance, security, data grounding and business controls must be supplied by the deployment architecture.",
      "verified_at": "2026-10-05",
      "official_sources": [
        "https://github.com/stepfun-ai/Step3",
        "https://stepfun.ai/research/step3"
      ],
      "voce_evidence": [
        "lw-doc-intelligence",
        "lw-agent-evaluation"
      ],
      "origin_country": "China",
      "openness": "code_and_weights",
      "license": "Apache-2.0",
      "self_hosting": true,
      "commercial_use": "permitted",
      "i18n": {
        "fr": {
          "use_cases": [
            "Intelligence multimodale auto-hébergée",
            "Workflows privés sur documents visuels",
            "Agents multimodaux",
            "Serving vLLM/SGLang",
            "Adaptation de modèles pour recherche et entreprise"
          ],
          "fit": "Équipes recherchant un modèle multimodal chinois Apache 2.0 avec code et poids publiés et des voies de déploiement vLLM/SGLang directes.",
          "caution": "Step3 est une brique modèle et non une application institutionnelle packagée. Gouvernance, sécurité, ancrage des données et contrôles métier doivent être fournis par l'architecture de déploiement."
        },
        "it": {
          "use_cases": [
            "Intelligenza multimodale self-hosted",
            "Workflow privati su documenti visuali",
            "Agenti multimodali",
            "Serving vLLM/SGLang",
            "Adattamento modelli per ricerca e impresa"
          ],
          "fit": "Team che cercano un modello multimodale cinese Apache 2.0 con codice e pesi pubblicati e deployment diretto via vLLM/SGLang.",
          "caution": "Step3 è un componente modello, non un'applicazione istituzionale pronta all'uso. Governance, sicurezza, grounding dei dati e controlli business devono essere forniti dall'architettura di deployment."
        }
      },
      "institutional": {
        "availability": {
          "status": "open_release",
          "detail": "Step3 code and model weights are publicly released under Apache 2.0."
        },
        "deployment": [
          "Self-hosted",
          "Private cloud",
          "vLLM",
          "SGLang",
          "Hugging Face checkpoints"
        ],
        "regions": [
          "Deployment-defined"
        ],
        "data_residency": {
          "status": "deployment_controlled",
          "detail": "Self-hosted deployment lets the operator define data location and serving boundary."
        },
        "identity_access": {
          "status": "deployment_controlled",
          "controls": [
            "Defined by serving stack"
          ]
        },
        "auditability": {
          "status": "deployment_controlled",
          "controls": [
            "Defined by serving/agent stack"
          ]
        },
        "interfaces": [
          "vLLM",
          "SGLang",
          "Hugging Face ecosystem"
        ],
        "mcp": {
          "status": "ecosystem"
        },
        "pricing": {
          "status": "open_weights",
          "public": true,
          "detail": "Apache-2.0 code and weights; infrastructure costs remain with the operator."
        },
        "security_certifications": [],
        "documentation_coverage": "high",
        "source_urls": [
          "https://github.com/stepfun-ai/Step3",
          "https://github.com/stepfun-ai/Step3/blob/main/LICENSE",
          "https://stepfun.ai/research/step3"
        ]
      }
    }
  ],
  "evidence": [
    {
      "id": "lw-auto-post-7507015808154488833",
      "date": "2026-09-19",
      "title": "Guangzhou, septembre 2026.",
      "path": "/archive/2026/09/19/guangzhou-septembre-2026-7507015808154488833",
      "sectors": [
        "legal",
        "hr",
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      ],
      "themes": [
        "LI!GHT WORKFORCE ©",
        "agents",
        "work transformation"
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    },
    {
      "id": "lw-legal-astra",
      "date": "2026-09-21",
      "title": "Les avocats facturaient du temps. L'IA vient d'apprendre le dossier",
      "path": "/archive/2026/09/21/les-avocats-facturaient-du-temps-l-ia-vient-d-apprendre-le-dossier-7507649958817345536",
      "sectors": [
        "legal"
      ],
      "themes": [
        "professional AI",
        "legal research",
        "tool integration"
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    },
    {
      "id": "lw-mcp-scale",
      "date": "2026-09-21",
      "title": "Un agent d'IA doit consulter un CRM, rechercher un contrat puis ouvrir un ticket.",
      "path": "/archive/2026/09/21/un-agent-d-ia-doit-consulter-un-crm-rechercher-un-contrat-puis-ouvrir-un-7507725470881366016",
      "sectors": [
        "it",
        "cross"
      ],
      "themes": [
        "MCP",
        "scale",
        "identity",
        "authorization"
      ]
    },
    {
      "id": "lw-agent-permissions",
      "date": "2026-09-22",
      "title": "L'agent n'a pas besoin d'être piraté. Il suffit qu'il ait trop de droits.",
      "path": "/archive/2026/09/22/l-agent-n-a-pas-besoin-d-etre-pirate-il-suffit-qu-il-ait-trop-de-droits-7508027480776110080",
      "sectors": [
        "it",
        "cross"
      ],
      "themes": [
        "permissions",
        "least privilege",
        "human approval"
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    },
    {
      "id": "lw-doc-intelligence",
      "date": "2026-09-22",
      "title": "Un dossier de prêt arrive.",
      "path": "/archive/2026/09/22/un-dossier-de-pret-arrive-7508012358439567361",
      "sectors": [
        "finance",
        "banking"
      ],
      "themes": [
        "document intelligence",
        "human review",
        "API"
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    },
    {
      "id": "lw-workforce-apprenticeship",
      "date": "2026-09-23",
      "title": "New York, 14 juillet 2026.",
      "path": "/archive/2026/09/23/new-york-14-juillet-2026-7508586172319711232",
      "sectors": [
        "banking",
        "finance",
        "cross"
      ],
      "themes": [
        "productivity",
        "headcount",
        "apprenticeship"
      ]
    },
    {
      "id": "lw-event-architecture",
      "date": "2026-09-23",
      "title": "Une commande affiche aujourd'hui le statut \"livrée\".",
      "path": "/archive/2026/09/23/une-commande-affiche-aujourd-hui-le-statut-livree-7508480461036449792",
      "sectors": [
        "finance",
        "it",
        "cross"
      ],
      "themes": [
        "event architecture",
        "Kafka",
        "agent triggers",
        "idempotency"
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    },
    {
      "id": "lw-pabau",
      "date": "2026-09-23",
      "title": "Une patiente téléphone à une clinique à 22h17.",
      "path": "/archive/2026/09/23/une-patiente-telephone-a-une-clinique-a-22h17-7508374749568405505",
      "sectors": [
        "healthops"
      ],
      "themes": [
        "reception",
        "finance",
        "marketing",
        "sales",
        "staged autonomy"
      ]
    },
    {
      "id": "lw-unit42",
      "date": "2026-09-24",
      "title": "Unit 42 Continuous Frontier AI Defense: le pentest vient de perdre sa date de fin",
      "path": "/archive/2026/09/24/unit-42-continuous-frontier-ai-defense-le-pentest-vient-de-perdre-sa-dat-7508737128139366401",
      "sectors": [
        "it"
      ],
      "themes": [
        "cybersecurity",
        "continuous testing",
        "multi-model"
      ]
    },
    {
      "id": "lw-luxury-content",
      "date": "2026-09-25",
      "title": "Entrez dans une boutique de luxe contemporaine et regardez ce qui a disparu.",
      "path": "/archive/2026/09/25/luxe-minimalisme-complexite-visuelle",
      "sectors": [
        "marketing",
        "culture"
      ],
      "themes": [
        "creative production",
        "brand complexity"
      ]
    },
    {
      "id": "lw-auto-post-7509144829097021440",
      "date": "2026-09-25",
      "title": "Entrez dans une boutique de luxe contemporaine et regardez ce qui a disparu.",
      "path": "/archive/2026/09/25/luxe-minimalisme-complexite-visuelle",
      "sectors": [
        "marketing",
        "it"
      ],
      "themes": [
        "LI!GHT WORKFORCE ©",
        "agents",
        "work transformation"
      ]
    },
    {
      "id": "lw-spiffe",
      "date": "2026-09-25",
      "title": "Un agent d'IA demande au système de paiement de rembourser un client.",
      "path": "/archive/2026/09/25/spiffe-identite-agents-ia",
      "sectors": [
        "finance",
        "it",
        "cross"
      ],
      "themes": [
        "SPIFFE",
        "workload identity",
        "permissions"
      ]
    },
    {
      "id": "lw-auto-post-7509099525530185728",
      "date": "2026-09-25",
      "title": "Un responsable marketing ouvre son tableau SEO, repère une page qui perd de la visibilité, exporte l’information, prépare un contenu dans un a…",
      "path": "/archive/2026/09/25/positive-group-mcp-marketing-saas",
      "sectors": [
        "legal",
        "finance",
        "marketing",
        "it"
      ],
      "themes": [
        "LI!GHT WORKFORCE ©",
        "agents",
        "work transformation"
      ]
    },
    {
      "id": "lw-positive-mcp",
      "date": "2026-09-25",
      "title": "Un responsable marketing ouvre son tableau SEO...",
      "path": "/archive/2026/09/25/positive-group-mcp-marketing-saas",
      "sectors": [
        "marketing"
      ],
      "themes": [
        "MCP",
        "SaaS",
        "workflow compression"
      ]
    },
    {
      "id": "lw-alibaba-voice",
      "date": "2026-09-26",
      "title": "Une voix synthétique peut imiter quelqu'un.",
      "path": "/archive/2026/09/26/une-voix-synthetique-peut-imiter-quelqu-un-7509658207536164864",
      "sectors": [
        "marketing",
        "culture",
        "cross"
      ],
      "themes": [
        "Alibaba Cloud",
        "synthetic voice",
        "agent interface"
      ]
    },
    {
      "id": "lw-agent-explanations",
      "date": "2026-09-27",
      "title": "Lorsqu'une intelligence artificielle donne une réponse puis l'explique...",
      "path": "/archive/2026/09/27/lorsqu-une-intelligence-artificielle-donne-une-reponse-puis-l-explique-n-7510020597729562624",
      "sectors": [
        "legal",
        "finance",
        "it",
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      ],
      "themes": [
        "agent governance",
        "explanations",
        "audit trail"
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    },
    {
      "id": "lw-volkswagen",
      "date": "2026-09-27",
      "title": "À Hefei, en Chine, une Volkswagen sort de chaîne environ toutes les deux minutes.",
      "path": "/archive/2026/09/27/a-hefei-en-chine-une-volkswagen-sort-de-chaine-environ-toutes-les-deux-m-7509945107798880256",
      "sectors": [
        "cross"
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      "themes": [
        "industry",
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        "R&D productivity"
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      "id": "lw-ionos",
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      "title": "Karlsruhe, 10 septembre 2026.",
      "path": "/archive/2026/09/28/karlsruhe-10-septembre-2026-7510322603291750400",
      "sectors": [
        "it",
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      "themes": [
        "productivity",
        "cost per operation",
        "cloud"
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    },
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      "id": "lw-vcomply",
      "date": "2026-09-28",
      "title": "Un responsable conformité reçoit une question avant un comité:",
      "path": "/archive/2026/09/28/un-responsable-conformite-recoit-une-question-avant-un-comite-7510186698463707136",
      "sectors": [
        "legal"
      ],
      "themes": [
        "compliance",
        "MCP",
        "permissions",
        "apprenticeship"
      ]
    },
    {
      "id": "lw-cyber-adaptation",
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      "title": "Pendant des années, une nouvelle signature de sécurité imposait un coût à l'attaquant.",
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      "sectors": [
        "it"
      ],
      "themes": [
        "cybersecurity",
        "agentic misuse",
        "adaptive attack"
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    },
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      "id": "lw-agui",
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      "title": "Un agent commence une tâche dans une application.",
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        "it",
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        "agent interface"
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      "id": "lw-hcl-robotiq",
      "date": "2026-09-30",
      "title": "Zagreb, 29 septembre 2026.",
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        "banking",
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      "themes": [
        "RPA",
        "legacy applications",
        "banking agents"
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    },
    {
      "id": "lw-europe-location",
      "date": "2026-10-01",
      "title": "27 septembre 2026.",
      "path": "/archive/2026/10/01/27-septembre-2026-7511319168122716162",
      "sectors": [
        "cross"
      ],
      "themes": [
        "AI infrastructure",
        "investment",
        "Europe"
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    },
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      "id": "lw-agent-audit",
      "date": "2026-10-01",
      "title": "9 septembre 2026.",
      "path": "/archive/2026/10/01/9-septembre-2026-7511288960799764482",
      "sectors": [
        "finance",
        "it",
        "cross"
      ],
      "themes": [
        "AgentAudit",
        "tool use",
        "auditability",
        "unsafe compliance"
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    },
    {
      "id": "lw-oracle-hr-finance",
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      "title": "Deux salariés sont absents. Une responsable RH doit revoir les horaires...",
      "path": "/archive/2026/10/01/deux-salaries-sont-absents-une-responsable-rh-doit-revoir-les-horaires-s-7511273843643129856",
      "sectors": [
        "hr",
        "finance"
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      "themes": [
        "Oracle Fusion Claw",
        "staffing",
        "ledger",
        "governed execution"
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    {
      "id": "lw-unitree",
      "date": "2026-10-01",
      "title": "Hangzhou, Chine.",
      "path": "/archive/2026/10/01/hangzhou-chine-7511304070486413312",
      "sectors": [
        "cross"
      ],
      "themes": [
        "robotics",
        "humanoids",
        "physical automation"
      ]
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      "id": "lw-retry-budget",
      "date": "2026-10-01",
      "title": "Un service reçoit 10.000 requêtes par seconde.",
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        "agent architecture"
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      "id": "lw-servicenow-build",
      "date": "2026-10-02",
      "title": "29 septembre 2026.",
      "path": "/archive/2026/10/02/29-septembre-2026-7511636227368873984",
      "sectors": [
        "it",
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      "themes": [
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        "human approval"
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    },
    {
      "id": "lw-agent-supply-chain",
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      "title": "Septembre 2025.",
      "path": "/archive/2026/10/02/septembre-2025-7511757069033836544",
      "sectors": [
        "it",
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    {
      "id": "lw-legal-harvey",
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