Iris.ai
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Iris.ai
AI research workspace — automated literature review, data extraction, and research synthesis.
What is Iris.ai?
Iris.ai is an AI-powered research workspace designed for R&D teams in pharma, chemistry, engineering, and academic research. The platform automates the most tedious parts of research: systematic literature reviews that would take weeks are completed in hours. Upload a research question or seed paper, and Iris.ai maps the relevant literature landscape, filters for relevance, and extracts structured data from papers (methods, results, compounds, measurements). The AI reads and classifies thousands of papers using domain-specific models. Teams can collaborate on shared workspaces, annotate findings, and export structured data for meta-analyses. Used by Novartis, Bayer, and leading universities for R&D acceleration.
Key Features
✓ Pros
- Massive time savings on lit reviews
- Extracts structured data from papers
- Built for real R&D workflows
✗ Cons
- Pricey for individual researchers
- Learning curve for setup
- Best for STEM fields
Frequently Asked Questions
How much does Iris.ai cost?
Iris.ai uses a paid pricing model starting from $90/mo.
Is Iris.ai worth it?
Iris.ai has an Editor's Score of 4.1/5 on ToolPilot. Key strengths include massive time savings on lit reviews. However, pricey for individual researchers.
What are the best alternatives to Iris.ai?
Top alternatives include NotebookLM, Scholarcy, Semantic Scholar, Scite.ai. Compare them for detailed feature and pricing breakdowns.
Quick Info
- Category
- Research & Knowledge
- Pricing Model
- Paid
- Starting Price
- $90/mo
- Editor's Score
- 4.1/5
- Added
- 2026-02-17
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