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Head to head · 2026

Iris.ai vs Lettria

Pricing, free plans, ratings, features, pros and cons, side by side. Where one comes out ahead, we mark it.

Iris.ai

Turns messy enterprise data into an AI knowledge foundation regulated industries can actually trust - three…

3.5Not listed

Visit Iris.ai (opens Iris.ai in a new tab)

Lettria

Graph Context Layer platform from Lettria that turns enterprise documents and unstructured knowledge into ontology-powered graphs…

3.9Not listed

Visit Lettria (opens Lettria in a new tab)

Who comes out ahead

Based only on the facts in our directory. The right pick still depends on the job you need done.

  • Lower starting price

    Not comparable

    Not comparable: Iris.ai does not list a price

  • Free plan

    Tie

    Neither has one

  • Higher rating

    Lettria

    3.5 against 3.9

  • Same job?

    Yes

    Both are AI Infrastructure & Agent Tooling tools

Side by side

Compared onIris.aiLettria
Our rating3.53.9Better
Starts atNot listedNot listed
Free planNoNo
CategoryAI Infrastructure & Agent ToolingAI Infrastructure & Agent Tooling
PlansSee pricingSee pricing
Key features
  • Axion - transforms disorganized enterprise data into AI-ready intelligence
  • Neuralith - converts enterprise knowledge into an operational AI engine
  • RSpace - targeted intelligence for R&D work
  • Built specifically for regulated-industry data governance needs
  • Powers custom AI agents and applications on enterprise data
  • Ontology-powered knowledge graphs built from a company's own documents
  • Stated 30%+ accuracy improvement over vector-based RAG on complex knowledge
  • Perseus generates production-ready ontologies from domain data in minutes
  • Built for compliance and traceability in regulated industries
  • Business experts kept in the loop during graph generation
Pros
  • Purpose-built for the governance and auditability regulated industries actually require
  • Three distinct products let a customer adopt the specific layer they need
  • Focused enterprise positioning (pharma, finance, healthcare) rather than generic AI marketing
  • Traceability and auditability matter for AI used in regulated industries
  • Perseus meaningfully speeds up what is normally a months-long ontology project
  • A named, checkable enterprise case study rather than only a claim
Cons
  • No published pricing - demo-request-only sales process
  • Not accessible for individual users or small teams - enterprise-focused
  • Value depends heavily on the quality/organization of a customer's existing data
  • No public pricing; every engagement starts with a demo or trial request
  • Requires a real implementation project, not a plug-and-play setup
  • Overkill for a small team with a basic internal search need
CompanyIris.aiLettria, founded 2019

Prices come from each vendor's pricing page, last checked 20260923. Check the vendor before you buy.

FAQ

Questions people ask

Is Iris.ai better than Lettria?

In our reviews Iris.ai scores 3.5 and Lettria scores 3.9. The better pick depends on the job. Iris.ai: Turns messy enterprise data into an AI knowledge foundation regulated industries can actually trust - three products (Axion, Neuralith, RSpace) covering data transformation, an operational AI engine, and R&D intelligence. Lettria: Graph Context Layer platform from Lettria that turns enterprise documents and unstructured knowledge into ontology-powered graphs for grounded, traceable AI.

Which is cheaper, Iris.ai or Lettria?

Iris.ai: see pricing. Lettria: see pricing.

Do Iris.ai and Lettria have free plans?

Neither lists a free plan.

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