Iris.ai
Research workspace for R&D teams with content extraction and document synthesis
Best for
Best for R&D and patent teams who need defensible extraction and synthesis across large document collections, not single-paper chat.
At a glance
- Pricing
- enterprise
- Setup time
- days
- Learning curve
- medium
- Last verified
- 5/21/2026
What we love
- ✓Mature platform with enterprise pedigree
- ✓Strong on patent and regulatory use cases
- ✓Defensible source-cited extraction
Where it falls short
- −Pricing opaque and team-oriented
- −Steep learning curve vs consumer tools
- −Overkill for solo researchers
Pricing
✓ Pricing verified Jun 21, 20263 tiers
Free trial
limited
- ✓Limited features
- ✓No team workspace
Team
annual contract
- ✓Workspaces
- ✓Smart extraction
- ✓API access
Enterprise
annual contract
- ✓Private deployment
- ✓Custom models
- ✓SSO and audit
Why we picked it
One of the longest-running research AI platforms — built for R&D teams who need defensible, source-cited extraction at scale.
Overview
A research workspace built for corporate R&D, patents, and regulatory teams. Combines document discovery, content extraction, and summarization across large internal and external corpora. Heavier and more enterprise-grade than consumer chat-with-PDF tools.
Key features
- ●Content-based document search
- ●Smart extraction of facts and tables
- ●List-style synthesis across many papers
- ●Patent and regulatory corpora
- ●Workspaces and team collaboration
- ●Private deployment options
- ●Custom NLP models per team
Best use cases
Patent landscape
Map a technology area across thousands of patents and papers.
Regulatory monitoring
Synthesize FDA, EMA, or EPA documents into structured tables.
Integrations
Similar tools
See all research tools →One AI Stack pick every week.
The tool we’d pay for this week, why we’d pay for it, and what we’d skip. No promo spam.