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Iris.ai

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Enterprise AI knowledge foundation for regulated industries

paidDR 60No published pricing. Demo-gated enterprise contracts scoped against data volume, integrations and governance requirements. No self-serve tier for individual researchers.View full pricing →

About Iris.ai

Iris.ai now sells an 'AI Knowledge Foundation' to regulated enterprises, not the researcher-facing paper-discovery tool it was originally known for (verified against iris.ai, August 2026). It ingests fragmented structured and unstructured enterprise data, maps relationships into a knowledge graph, grounds AI models in trusted internal sources, and adds source traceability and explainable reasoning paths so outputs survive an audit. Its layers are named Axion (the knowledge foundation) and Neuralith (agents and applications), and the pipeline runs extraction and contextualisation, expert validation with versioned auditable knowledge, LLM evaluation against accuracy and compliance criteria, and delivery to agents and copilots. There is no self-serve tier: individual researchers looking for literature review tooling should use Semantic Scholar, Elicit or Consensus instead.

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Key Features

✓Knowledge extraction and contextualisation
✓Enterprise knowledge graph
✓Expert validation loop
✓Versioned auditable knowledge
✓LLM evaluation and guardrails
✓Source traceability

Tags

enterpriseknowledge graphgovernanceragregulated industriesai assistant
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