Iris.ai builds AI knowledge infrastructure specifically for regulated enterprises: Axion transforms disorganized enterprise data into AI-ready intelligence, Neuralith converts that organizational knowledge into an operational AI engine, and RSpace delivers targeted intelligence for research and development work specifically.
Building for regulated industries – the company names pharmaceuticals, finance, and healthcare as its focus – is the detail that shapes the whole product: those sectors cannot simply point a general-purpose LLM at their internal documents and trust the output, because provenance, auditability, and data governance are legal requirements, not nice-to-haves. Iris.ai’s positioning around “AI you can trust” and augmenting expert knowledge, rather than replacing it, reflects that constraint directly.
Iris.ai targets regulated enterprises across pharma, finance, and healthcare, sold through a consultative, demo-first B2B process rather than self-serve signup – no pricing is published; prospective customers request a demo to get started.
