Iris AI
An enterprise platform that turns scattered internal data into AI-ready knowledge.
At a glance
Starts at
Free
No paid plan found on the vendor's site, September 2026.
Free tier
Yes
Platforms
Web
Best for
Regulated enterprises building AI on their own internal data
Not for
Individuals wanting a simple personal AI assistant
3.9 out of 5
Scored by a Toolio reviewer after real useOur verdict
Iris.ai is built for regulated enterprises that need to turn scattered internal data into something AI agents and applications can actually use, through products like Axion for data readiness, Neuralith for turning enterprise knowledge into an AI engine, and RSpace for R&D-specific intelligence. It's aimed squarely at large organizations with complex data and compliance needs, not individual users. Details on pricing and hands-on features are thin in what's publicly available, with case studies and a demo request standing in for a self-serve trial.
✓What it does well
Built for regulated industriesIt's designed around the compliance needs of regulated enterprises specifically.
Multiple specialized productsSeparate products target data readiness, general knowledge and R&D use cases.
Established track recordThe company has roughly ten years of experience in this space.
✕Where it falls short
Not for individual usersIt's built for enterprises, not a simple assistant for one person.
Thin public detailsPublic information on pricing and specific features is limited.
Demo-gated accessThere's no self-serve trial; access starts with requesting a demo.
Key features
Data readiness (Axion)Axion turns disorganized enterprise data into AI-ready intelligence.
Knowledge engine (Neuralith)Neuralith converts enterprise knowledge into a usable AI engine.
R&D intelligence (RSpace)RSpace is built specifically for complex research and development work.
Case studies and demosIn-depth case studies and demo requests support enterprise evaluation.