Iris.ai

Iris.ai is an AI development and operations platform designed to assist enterprises in connecting, orchestrating, evaluating, and deploying Agentic RAG (Retrieval-Augmented Generation) AI workflows with speed and confidence. The platform specializes in scientific text understanding, transforming unstructured and semi-structured data from sources like academic papers, patents, and internal documents into actionable knowledge. It offers tools such as RSpace™ and Axion™ for automating literature reviews, data extraction, summarization, and building secure, factual AI agents to accelerate R&D and innovation processes.

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Vendor Details

An AI development and operations platform for Agentic RAG AI workflows, turning complex data into trusted AI for regulated enterprises.

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Pillar
Customer Experience & Relationship Management (CX/RM)
Primary SITech Category
Text Analytics
2nd SubCat
3rd SubCat
Tech Category
AI development and operations platform, Agentic RAG AI workflows, proprietary machine learning models, generative AI module, neural networks, proprietary knowledge graph, SaaS platform.
Data Coverage
Alternative / Niche Data
Business & Firmographic (B2B) Data
Healthcare & Medical Data
News & Editorial Media
Data Sources
First-Party Data Upload
AI/GenAI Type
AI Agents & Automation
Natural Language & Conversational AI
Predictive AI & Analytics
Geographic Coverage
Global / Worldwide
Specialized Industries
Healthcare & Life Sciences
Pharmaceutical
Technology & Software
HQ Location
Europe

Company Info

founders@iris.ai

Iris.ai is an AI development and operations platform designed to assist enterprises in connecting, orchestrating, evaluating, and deploying Agentic RAG (Retrieval-Augmented Generation) AI workflows with speed and confidence. The platform specializes in scientific text understanding, transforming unstructured and semi-structured data from sources like academic papers, patents, and internal documents into actionable knowledge. It offers tools such as RSpace™ and Axion™ for automating literature reviews, data extraction, summarization, and building secure, factual AI agents to accelerate R&D and innovation processes.