Iris.ai

AI workspace for R&D teams to systematically explore and analyze scientific literature.

Best for: Powerful systematic review tools Not ideal for: No transparent pricing
Price Enterprise pricing
Free plan No
For Researchers
Level Beginner
Updated Mar 2026
Category AI Research
01

Why choose Iris.ai

AI research workspace that helps R&D teams systematically explore scientific knowledge. Uses NLP to analyze research papers, extract data, and build structured knowledge maps. Designed for enterprise and institutional research workflows.

  • +Powerful systematic review tools
  • +Enterprise-grade features
  • +Good for large-scale research
  • +Smart filtering
02

Where it falls short

  • No transparent pricing
  • Steep learning curve
  • Enterprise-focused, less for individuals
  • Requires onboarding
03

Best for these users

👤
Target audience
Researchers, academics, knowledge workers
📌
Best for
Powerful systematic review tools
Skip if you need
No transparent pricing
04

Pricing overview

Enterprise Free plan: No

Enterprise pricing based on team size and usage. Free trial available.

Check current pricing →
05

Key features

Systematic literature review
Data extraction
Knowledge maps
Research space workspace
Smart filters
Team collaboration
07

Alternatives to Iris.ai

Benchling

Cloud R&D platform for life sciences with ELN, molecular biology tools, and data management.

freemium Compare →
Connected Papers

Visual graph explorer that maps related papers based on similarity, not just citations.

freemium Compare →
Google Scholar

Free Google search engine for scholarly articles, theses, books, and patents worldwide.

Humata AI

AI chat for PDFs that answers questions with page references and summarizes documents.

freemium Compare →
PubMed AI

AI-enhanced biomedical literature search built on the PubMed database by NCBI.

See all alternatives →
08

Related comparisons

09

The verdict

Iris.ai Enterprise

Iris.ai is a solid choice for researchers who need powerful systematic review tools. At enterprise, it delivers good value. Main caveat: no transparent pricing. Compare with alternatives before committing.