Iris.ai

AI research assistant for scientists and analysts

Research & Data Enterprise
Researched · Published · Reviewed
RECATOOLS Score
6.4 / 10
Capability
7
Value for money
6
Ease of use
5
ASEAN readiness
5
API quality
6
Founded
2015
HQ
Oslo, Norway
Users
500+ enterprise R&D teams
Launched
Jun 2026
Developer
Anita Schjoll Brede

Overview

Iris.ai is a research-AI platform aimed at corporate R&D and consulting analysts — semantic search across millions of scientific documents, automated literature reviews, technology landscape mapping. Norwegian-headquartered.

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Pricing

Pricing shown for reference only. These figures reflect RECATOOLS research as of 19 May 2026 and may be out of date or incomplete. This is not financial or purchasing advice — always confirm the current price on the provider’s official website before making any decision.

Free
Free
Free trial for researchers

Use cases

Enterprise research AI Technology landscaping Patent search
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ASEAN Perspective

Iris.ai in Southeast Asia

ASEAN-region availability and pricing notes coming soon. Drop the editorial team a note via /contact/ if you can supply local context (Singapore/Malaysia/Indonesia/Thailand/Vietnam).

RECATOOLS Verdict

Iris.ai is an AI engine built for scientific and technical R&D, helping researchers map literature, filter large corpora, extract structured data, and accelerate systematic reviews across patents and papers. It suits corporate R&D, pharma, materials, and academic teams with serious literature-analysis workloads rather than casual searching, and it emphasises traceable, domain-specific outputs.

Caveats: it is an enterprise/B2B platform with a learning curve and pricing to match, so it is overkill for individual quick lookups where free tools like Inciteful or Semantic Scholar suffice. Value scales with the depth and volume of your research process. European-founded and global, with no specific ASEAN footprint. Powerful for structured R&D intelligence, but a committed adoption.

Independent AI-assisted assessment by RECATOOLS.

Notable facts

  • Iris.ai was the first AI tool to generate a visual map of a scientific research landscape from a single seed paper, predating similar features in commercial tools by several years.
  • The platform's extraction AI can read 1,000 clinical trial papers and populate a structured database with patient demographics, dosages, and outcomes in hours rather than weeks.
  • Iris.ai was incubated at CERN, the European particle physics laboratory — one of the world's leading scientific research organisations.

Frequently asked questions

Is Iris.ai free?
Free trial for researchers. Enterprise pricing for sustained use.
Who is Iris.ai best for?
Enterprise R&D teams with large literature review workflows — pharmaceutical, materials science, agritech, and similar industries.
Does Iris.ai extract data from papers automatically?
Yes. The Extraction feature automatically pulls structured data from defined fields across bulk paper sets.
What databases does Iris.ai search?
PubMed, arXiv, Semantic Scholar, and patent databases.
How does Iris.ai compare to Elicit?
Iris.ai is an enterprise product with more powerful data extraction for R&D. Elicit is more accessible for academic individual researchers.

About this listing

Researched on
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Last reviewed

This entry was compiled from publicly available data including Iris.ai's official website, press releases, documentation, and reputable third-party publications. RECATOOLS is not affiliated with Iris.ai unless explicitly stated.

Data accuracy

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