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.

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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.