Company intelligence
Iris.ai
Turning Complex Data Into AI You Can Trust
About Iris.ai
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
Verified activity
Signals from Iris.ai
9 published signals
Presence & Recognition
Iris.ai CEO Victor Botev and Steven K Fung are heading to Wentworth for the AWS Birdie Bar at the 2026 BMW PGA Championship next week.
Reported by Steven K Fung
Products & Services
Iris.ai validated its approach with AWS and Microsoft shipping new context-layer products in a single quarter.
Reported by Anita Schjøll Abildgaard
Products & Services
Iris.ai repositioned itself to focus on being a semantic context foundation while providing capabilities to control the output of the models.
Reported by Steven K Fung
Products & Services
Iris.ai built a lie detector for enterprise AI to verify if AI models strictly ground their answers in provided enterprise context.
Reported by Iris.ai
Products & Services
Iris.ai currently straddles about six predefined categories.
Reported by Anita Schjøll Abildgaard
Products & Services
Iris.ai and the Yettel.Hungary team led by Denitsa Gavrilova, PhD used AI-powered reverse engineering to read data pipelines directly and generate working scripts and an ontology.
Reported by Iris.ai
Strategy & Corporate Development
Iris.ai is starting to build the enterprise ontology foundation for the next decade, starting in Europe.
Reported by Steven K Fung
Customers & Market
Iris.ai moved from pitching separate tools to delivering multi-million-euro unified ontology solutions for global regulatory organizations across manufacturing, telecom, automotive, healthcare, and life sciences.
Reported by Steven K Fung
Products & Services
Iris.ai refocused its messaging, rebuilt its commercial motion, and established its product positioning with the context + harnessing layer (Axion™) as a critical foundation for enterprise AI.
Reported by Steven K Fung