{ "site": "https://www.opigno.com", "language": "en", "alternate_language_versions": { "fr": "https://www.opigno.com/fr/llms.json" }, "generated_on": "2026-08-05", "sections": [ { "title": "Opigno Enterprise Overview", "url": "https://www.opigno.com/", "category": "Learning Intelligence Platform", "last_updated": "2026-08-05", "summary": "Opigno Enterprise is a Learning Intelligence Platform. Governed AI agents detect the capability gap, teach against it, verify what people can actually do, and measure again.", "text": "Built for organisations operating across several legal entities, countries or business units, carrying a regulatory or audit obligation touching workforce capability, or funding a transformation programme that changes what people need to be able to do.", "faq": [ { "question": "What is Opigno Enterprise?", "answer": "Opigno Enterprise is a Learning Intelligence Platform: it detects where capability is missing, deploys learning against that gap, verifies what people can actually do, and measures again. It is API-first, headless, multi-tenant, and deployable in the jurisdiction the organisation requires, with the organisation's own model." }, { "question": "How is it different from the open-source Opigno LMS?", "answer": "The open-source Opigno LMS at opigno.org is a free Drupal-based LMS built by the same team. Opigno Enterprise is a separate platform built from the ground up. The open-source edition delivers content and records completions; Opigno Enterprise measures capability, deploys learning against the gap, verifies what was built, then measures again." }, { "question": "Who is Opigno Enterprise built by?", "answer": "Connect-i, a Swiss software company founded in 2008 and based in Preverenges near Lausanne, with a scientific partnership with Prof. Pierre Dillenbourg's group at EPFL." } ] }, { "title": "API-First Architecture", "url": "https://www.opigno.com/api-first-lip", "category": "Architecture", "last_updated": "2026-08-05", "summary": "Every platform function, data object and workflow is accessible through documented APIs, not just the learning delivery layer.", "text": "Bidirectional integration with HRIS, CRM, ERP, identity providers and internal tools. Headless deployment lets the learning backend be decoupled from the front end, so training can be embedded in portals, intranets and applications.", "faq": [ { "question": "What does API-first mean for an enterprise LMS?", "answer": "Every function is built as an API endpoint before a user interface is built on top of it. Any function available in the interface is also available via API, behaviour is consistent and documented, and the platform can be embedded into existing systems or given entirely custom interfaces." }, { "question": "Does Opigno Enterprise support headless deployment?", "answer": "Yes. The learning backend — content management, learner tracking, certification, analytics — can be decoupled from the front-end interface, with all learning data managed centrally." } ] }, { "title": "Multi-Tenant Ecosystem", "url": "https://www.opigno.com/multi-tenant-ecosystem", "category": "Architecture", "last_updated": "2026-08-05", "summary": "One platform running as many independent, branded learning environments as the organisation needs, with reporting and governance flowing back to a single hub.", "text": "Each tenant has its own branding, content library, user base, compliance configuration and administrator team. Data is isolated per tenant. New environments are provisioned in hours.", "faq": [ { "question": "What does multi-tenant mean and why does it matter?", "answer": "A single deployment serves multiple distinct environments — business units, subsidiaries, regions or client organisations — each with its own configuration, all managed from a centralised hub. It avoids the cost and fragmentation of running a separate platform per audience, and it is what makes a consolidated view of capability possible." } ] }, { "title": "AI Functionalities", "url": "https://www.opigno.com/ai-functionalities", "category": "Agentic AI", "last_updated": "2026-08-05", "summary": "Agentic AI across the learning lifecycle, configured and bounded by the customer's own team rather than commissioned from a vendor.", "text": "Agents detect when a role change opens a gap, deploy learning against it, build programmes from existing documents and systems reached through RAG and MCP, chase lapsing certifications, and escalate what needs a human. Clara provides conversational access for learners and administrators; the Agent Builder lets teams describe an agent in plain language.", "faq": [ { "question": "Can we control which AI features are active?", "answer": "Yes. AI features are modular and can be enabled or disabled at platform, tenant or user-role level, and adjusted at any time from the central administration interface." }, { "question": "What LLM does Opigno Enterprise use?", "answer": "By default OpenAI models, processed under enterprise terms with no training on customer data. A different provider, a private deployment or a self-hosted model can be configured on request. Where no learning data may leave the customer's perimeter, a model hosted in their own environment is the configuration to specify." }, { "question": "Is customer data used to train AI models?", "answer": "No. Learner profiles, course content, assessment results and interaction data are never used to train external AI models." } ] }, { "title": "Security and Privacy", "url": "https://www.opigno.com/security-and-privacy", "category": "Security and compliance", "last_updated": "2026-08-05", "summary": "A two-plane architecture: learner personal data resides in the customer's tenant environment, and the central management plane holds configuration rather than identifying data.", "text": "Compliant with ISO 27001 and SOC 2 Type 2, and built to meet processor obligations under GDPR. Role-based access control, TLS in transit, AES-256 at rest, SAML 2.0 single sign-on, MFA, audit logging and configurable retention. Skills data is never an input to performance management, compensation or promotion decisions.", "faq": [ { "question": "Where is learner data stored?", "answer": "Learner personal data is stored locally within each tenant environment, not in a shared central database. Tenant environments can be hosted in a dedicated private cloud in the region required, or deployed on-premise. At the central level users are referenced only by pseudonymous identifiers." }, { "question": "Is Opigno Enterprise compliant with data privacy regulations?", "answer": "It is compliant with ISO 27001 for information security management and with GDPR for European data privacy requirements, and it meets SOC 2 Type 2 operational control requirements." } ] }, { "title": "Compliance Management", "url": "https://www.opigno.com/compliance-management", "category": "Security and compliance", "last_updated": "2026-08-05", "summary": "Mandatory training assignment, certification validity tracking, automated renewal and escalation workflows, and audit-ready reporting across jurisdictions.", "text": "Compliance rules are configured independently per tenant, so each entity manages its own expiry cycles and audit trails while group compliance officers retain a consolidated view. Evidences competence rather than attendance.", "faq": [ { "question": "How does compliance training management differ from standard course delivery?", "answer": "Standard delivery handles the training event. Compliance management handles the organisational obligation before and after it: assignment by role and jurisdiction, validity tracking, automated renewal, escalation when deadlines are at risk, and audit trail maintenance." } ] }, { "title": "Onboarding Training", "url": "https://www.opigno.com/onboarding-training", "category": "Use cases", "last_updated": "2026-08-05", "summary": "Onboarding assigned automatically from HRIS data by role, department, location and employment type, adapted to what the individual already demonstrably knows.", "text": "Role-based programmes are pre-configured per job family and location. Managers see verified progress rather than completion percentages, and Clara answers questions in context throughout the first months.", "faq": [ { "question": "How quickly does onboarding start?", "answer": "When a new employee record is created in the HRIS, the appropriate onboarding programme is assigned automatically, with no manual enrolment step." } ] }, { "title": "Social Learning", "url": "https://www.opigno.com/social-learning", "category": "Learner experience", "last_updated": "2026-08-05", "summary": "Learning communities, collaborative spaces, gamification and a native mobile app, integrated with the platform's analytics layer.", "text": "An organisation-wide activity feed, topic-based communities with controlled membership, challenges, battles, badges and leaderboards. All social features are scoped per tenant in multi-tenant deployments.", "faq": [ { "question": "Can social features be used in a multi-tenant environment?", "answer": "Yes. Each tenant has its own scoped activity feed, learning communities and leaderboards, so content and interactions stay relevant to each business unit or regional audience." } ] }, { "title": "Pharma and Healthcare", "url": "https://www.opigno.com/pharma-and-healthcare", "category": "Industries", "last_updated": "2026-08-05", "summary": "Compliance and GxP training, certification cycles across affiliates, HCP education portals and patient education, from one governed platform.", "text": "Tamper-evident audit trails exportable for regulatory inspection. HCP data, employee data and patient data are held in separate isolated tenant environments with data residency options per jurisdiction.", "faq": [ { "question": "Can Opigno Enterprise deliver training to external healthcare professionals?", "answer": "Yes. Branded HCP education portals operate independently from internal employee training environments, with engagement data isolated between them, and can be integrated with HCP engagement platforms and CRM systems via API." }, { "question": "Can AI be restricted to approved pharma content only?", "answer": "Yes. Medical affairs teams define which content sources the AI is authorised to use, so generated responses and drafts are grounded in validated material. All AI-generated content passes through human review and approval before publication." } ] }, { "title": "LMS vs LXP vs LIP", "url": "https://www.opigno.com/lms-vs-lxp-vs-lip-whats-difference", "category": "Category", "last_updated": "2026-08-05", "summary": "An LMS measures training activity, an LXP measures engagement, and a Learning Intelligence Platform measures capability.", "text": "An LMS is an administrative system of record. An LXP shifts control to the learner through discovery and self-directed paths. Both assume the organisation already knows what to teach. A LIP starts from the prior question: where is capability actually missing?", "faq": [ { "question": "What is a Learning Intelligence Platform?", "answer": "An enterprise learning system that combines LMS-grade administration with LXP-level personalisation and extends both with an agentic AI layer that monitors organisational signals, surfaces recommended actions for human approval, and executes approved workflows." } ] }, { "title": "LMS Alternatives", "url": "https://www.opigno.com/lms-alternatives-why-learning-intelligence-platform-smarter-choice", "category": "Category", "last_updated": "2026-08-05", "summary": "Authoring tools, microlearning platforms, LXPs, skills intelligence platforms and workflow learning tools each solve one problem well. The cost is in the seams between them.", "text": "Every additional tool creates integration work, data reconciliation and places where things fall through. A Learning Intelligence Platform runs measurement and delivery as one system rather than two products joined by an integration.", "faq": [ { "question": "Do we have to replace our existing stack?", "answer": "No. Opigno Enterprise can operate alongside existing tools, adding agent-driven automation and cross-system intelligence on top of what is already in place, with no forced migration." } ] }, { "title": "Agentic AI in Corporate Learning", "url": "https://www.opigno.com/agentic-ai-corporate-learning-why-embedded-intelligence-changes-everything", "category": "Category", "last_updated": "2026-08-05", "summary": "The difference between AI added to a learning platform and AI embedded across one is context: whether the AI knows enough to act meaningfully.", "text": "Add-on AI features work from the data they can directly see. Embedded agentic AI draws on the full organisational picture and can act on signals spanning the entire learning lifecycle, within boundaries the customer sets.", "faq": [ { "question": "What is the difference between an AI agent and an AI feature?", "answer": "A feature performs a specific task. An agent monitors, reasons across multiple data sources, and can trigger actions in response to events. The distinction is less about capability than about the context the agent has access to." }, { "question": "Does agentic AI mean decisions without human approval?", "answer": "No. Agentic AI handles coordination and surfaces the right information at the right time; decisions requiring judgment remain with people, and actions with significant effect require human approval before execution." } ] }, { "title": "Pricing", "url": "https://www.opigno.com/pricing", "category": "Commercial", "last_updated": "2026-08-05", "summary": "Per-active-user pricing with no hidden fees or setup costs, across Starter, Pro and Corporate plans.", "text": "Starter for organisations beginning with core features, Pro for growing organisations, Corporate for full enterprise-scale functionality and support. Typical deployment takes four to eight weeks, or eight to sixteen for complex multi-tenant deployments.", "faq": [ { "question": "How long does deployment take?", "answer": "A standard deployment including core configuration, SSO and initial HRIS integration typically takes four to eight weeks. More complex multi-tenant deployments with several integrations generally require eight to sixteen weeks." } ] }, { "title": "Opigno API Documentation", "url": "https://docs.opigno.com", "category": "Technical documentation", "last_updated": "2026-08-05", "summary": "Technical documentation covering API endpoints, authentication, integration guides and headless implementation.", "text": "Includes a dedicated implementation guide for headless deployment, code samples and Postman collections. A sandbox environment isolated from production data is available on the Corporate plan.", "faq": [ { "question": "Does Opigno Enterprise support webhooks?", "answer": "Yes, on all major platform events including course completion, assessment submission, enrolment, certificate issuance and user lifecycle events." }, { "question": "Is there a sandbox for testing integrations?", "answer": "Yes, a dedicated sandbox environment isolated from production data is available on the Corporate plan, mirroring the production API with separate credentials." } ] } ] }