Iris.ai
AI knowledge foundation for regulated enterprises — turning complex data into AI you can trust
Enterprise·Technical·API available
Key strengths
Agentic RAG-as-a-Service for regulated enterprisesUnified ingestion of complex, heterogeneous enterprise dataReal-time monitoring and CI/CD pipelines for AI agentsOver 330M documents securely ingested at scale35%+ savings on LLM usage costs through optimized evaluation
Enterprise pricing
Oslo, Norway
Founded 2015
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Documentation & Integration — Technical
Iris.ai is positioned for enterprise deployment within organizations' existing document and systems infrastructure. Developers and architects should note the following platform characteristics:
- Document and system integration: The AI operates on the organization's own document repositories and connected systems, meaning integration work centers on connecting internal data sources rather than configuring external knowledge bases.
- Retrieval control layer: The platform includes mechanisms to define and enforce which sources the model is allowed to read — a critical control point for regulated industries.
- Observability: Every step of the answer pipeline is measured, providing hooks for audit logging, compliance reporting, and quality assurance workflows.
For detailed API references, authentication flows, and deployment guides, consult Iris.ai's official developer documentation directly, as specifics beyond the above are outside the scope of this summary.
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