Governance approves an AI system once. Observability keeps proving it. GenariOne monitors AI behavior in production and demonstrates ongoing control — so assurance stays alive long after the initial assessment.
Predefined instructions, rules, constraints, and examples focus the model before it responds.
Retrieval-augmented generation grounds requests in your own data, documents, and knowledge.
Large documents are broken into targeted sections, surfacing only the most relevant evidence.
Responses arrive in structured formats (JSON, HTML reports) for reliable, controlled automation.
Tool calling routes each request to the best tool — because the best tool isn't always an LLM.
Verification checks the answer against trusted evidence and produces citations before it reaches the user.
Accuracy feedback turns the model into a specialist in your business and regulatory environment.
The model logs its own confidence; low-confidence responses are routed to a human reviewer.
In a regulated environment, an AI answer isn't enough — you need to show why it can be trusted. GenariOne's observability layer produces the citations, confidence records, and human-review trail that turn AI output into defensible, audit-ready evidence.
Agents assist, suggest, and adapt so your teams stay in control with explainable AI.
GxP by design. Aligned with ALCOA principles, GAMP 5, and FDA CSA Guidance.
Full traceability, signature verifaction, audit trailed and 21 CFR Part 11 compliant.
