Iris.ai repositioned itself to focus on being a semantic context foundation while providing capabilities to control the output of the models.

Iris.ai is the context-first knowledge foundation for enterprise AI. We unify complex enterprise data and power AI agents that augment expert knowledge, with accuracy you can measure. Built for regulated industries where "mostly right" is a liability: telecom, manufacturing, CPG, utilities, banking, pharmaceuticals, and government. What the platform does: - Unifies data across ERP, data lakes, document stores, and on-premise systems into a governed knowledge layer - Engineers nine layers of context (semantic structure, ontology, source authority, provenance, and more) before retrieval, not after - Powers AI agents grounded in domain knowledge, with full traceability to source - Auditable to EU AI Act, GDPR, and DORA. ISO 27001 certified. - Vendor-neutral by architecture: any LLM, any cloud, any data stack. Model swaps in under two weeks with evaluated equivalence. Measured outcomes from production deployments: - 97% accuracy on regulated knowledge work, where generic platforms reach 80% - 96% precision on document extraction - 70 to 90% time reduction on expert knowledge work - Up to 50% reduction in cloud migration effort Founded in Norway in 2015. A cross-European team of 40+ AI, NLP, and LLM specialists. Backed by the EIC Accelerator. Named an AWS Frontier AI Startup. Published research includes the WISDM paper on LLM evaluation (2017) and ConSens (2025). Visit iris.ai to see how we work. #AgenticAI #EnterpriseAI #RAG #LLMEvaluation #AIInfrastructure

Founded 2015