What is Iris.ai?

Iris.ai is an AI knowledge foundation designed for regulated enterprises, enabling the unification of complex corporate data into reliable AI agents. The platform supports Agentic Retrieval-Augmented Generation (RAG) systems, allowing users to build, manage, and monitor AI workflows on a single interface.

It ingests millions of documents, provides thousands of evaluated answers, and offers LLM evaluation tools to assess model performance. Iris.ai’s workflow accelerates AI deployment, reduces large‑language‑model usage costs, and delivers real‑time monitoring dashboards for governance.

Iris.ai details

Company
Iris AI AS
Jurisdiction
Norway
Built for
Individuals
Data residency
EEA (Ireland and Germany via AWS)
Stated compliance
GDPR

Compliance as stated in Iris.ai's own published documentation.

Iris.ai pricing

Freemium

Iris.ai offers a free plan with paid upgrades available.

Free trial
10 days
Auto-renewal
Yes

Trial, refund and renewal terms as stated in Iris.ai's own published documentation.

Iris.ai's key features

  • Unified Data Access Layer
  • Automated Chunking & Indexing
  • Industry Schema Templates
  • Seamless LLM Integration
  • Multilingual, Multi-Format Support
  • Flexible API, On-Prem, Cloud Deployment
  • Self-Assessment Accuracy Scoring

Iris.ai use cases

  • Build a compliance‑ready internal FAQ assistant that automatically ingests regulatory documents, uses retrieval‑augmented generation to provide evaluated answers, and displays real‑time governance dashboards without any coding overhead.
  • Deploy a cost‑efficient, LLM‑powered customer support chatbot that ingests millions of product manuals, evaluates responses for accuracy, and tracks usage & compliance metrics on an intuitive real‑time dashboard.
  • Create a secure AI‑driven knowledge base for financial institutions that integrates legacy data, supports RAG workflows, and offers audit‑ready governance dashboards for compliant, cost‑efficient AI deployment.

Iris.ai user reviews

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Who is Iris.ai for?

  • Research analysts
  • Data scientists
  • Academic researchers
  • Scientific innovators
  • Knowledge workers

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