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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Iris.ai — Technical Overview
Iris.ai is an enterprise AI platform designed for high-stakes industries where answer accuracy is non-negotiable. The system is architected to operate entirely on an organization's own documents and internal systems — not on generic web data or shared model knowledge. Key technical characteristics include:
- Controlled retrieval scope: The platform governs exactly what documents and data sources the underlying model is permitted to read, reducing hallucination risk by constraining the retrieval context.
- Step-level auditability: Every stage of the model's reasoning and answer-generation pipeline is measured and logged, enabling teams to trace how a specific output was produced.
- Private deployment model: Runs against the organization's own document corpus and systems, supporting use in regulated or sensitive environments.
Target engineering and data teams are in manufacturing, life sciences, energy, and telecom — sectors where a wrong model output carries real operational or compliance risk.
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