Iris.ai
Enterprise AI research workspace for R&D teams that need to mine patents, papers, and internal documents.
Last updated
- ⭐ Best for
- corporate R&D teams
- 💰 Pricing
- Free
- ⏱ Hours saved/wk
- 4
- 🔥 Why trending
- 4/10 popularity
About Iris.ai
Iris.ai is an AI research platform aimed at corporate R&D and innovation teams. Its researcher workspace combines semantic search across scientific literature and patents, document filtering and clustering, and data extraction, letting organizations map technology landscapes and monitor research at scale.
Key benefits
- ✓Semantic search across papers and patents
- ✓Document set filtering and topic clustering
- ✓Automated data and entity extraction
- ✓Technology landscape mapping
- ✓Works on internal document collections
- ✓API and custom deployment options
+Pros
- ✓Handles patents and internal docs, not just journal articles
- ✓Semantic matching goes beyond keyword search
- ✓Built for team-scale R&D workflows
- ✓Strong European research pedigree
−Cons
- −No transparent pricing; sales-led onboarding only
- −Overkill for individual academics
- −Smaller community and fewer integrations than mainstream tools
Ready to try Iris.ai?
Free to start. No credit card required.
Iris.ai vs alternatives
Same category, ranked by ToolMango ROI Score.
| Tool | ROI Score | Pricing | |
|---|---|---|---|
Iris.aithis page Enterprise AI research workspace for R&D teams that need to mine patents, papers, and internal documents. | ★★⯨★★49.5 | Free | View → |
AI research assistant that finds papers, extracts data into tables, and automates systematic-review grunt work. | ★★★★★62.2 | $12/mo | View → |
Google's source-grounded AI notebook — upload documents, get cited answers, and turn them into Audio Overviews. | ★★★★★60.0 | $20/mo | View → |
Free AI-powered academic search engine with 200M+ papers, citation graphs, and TLDR summaries. | ★★★★★59.3 | Free | View → |
The free, open-source reference manager anchoring serious academic workflows — with AI plugin add-ons. | ★★★★★59.2 | $2/mo | View → |
Our take on Iris.ai
Iris.ai is one of the older names in AI-assisted research, a Norwegian-born platform that pivoted from consumer science search to a full enterprise researcher workspace. Today it sells to corporate R&D teams that need to mine three document universes at once: academic literature, patents, and their own internal technical archives.
What we like
The scope is the point. Academic tools like Elicit and Consensus stop at journal articles; Iris.ai treats patents and proprietary documents as first-class citizens, which is exactly what a materials-science team or pharma innovation group actually needs. The semantic search is built to match on meaning rather than keywords — useful in engineering domains where the same concept hides behind five different vocabularies. The workspace tooling around search is substantive too: filtering large document sets down systematically, clustering them by topic, and extracting structured data at scale. For technology-landscape mapping — "who is working on solid-state electrolytes and how has it shifted since 2020" — it does work that would otherwise take a consultant weeks.
Where it falls short
Everything about Iris.ai is enterprise-shaped, including the friction. There is no public pricing, no self-serve signup worth mentioning, and the sales-led process makes it impossible for a curious researcher to properly evaluate. Individual academics should not bother — the platform assumes team workflows and organizational document volumes. And the ecosystem is thin compared to mainstream research tools: fewer integrations, a smaller user community, and less third-party documentation when you get stuck.
Verdict
Iris.ai is a credible choice for the fairly narrow buyer it targets: an R&D organization with budget, a patent-heavy problem space, and internal documents that need the same treatment as published literature. If that is you, request a demo and benchmark it against your current landscape-mapping process. If you are an individual researcher, this is not your tool — Elicit or SciSpace will serve you better for a fraction of the cost.
Frequently asked questions
How much does Iris.ai cost?
Iris.ai does not publish pricing. Plans are quoted per organization based on seats, document volume, and deployment needs — expect enterprise-level contracts, not a cheap monthly subscription.
Who is Iris.ai for?
Corporate R&D departments, innovation teams, and patent analysts who need to search and structure large bodies of scientific literature, patents, and internal technical documents.
Is Iris.ai better than Elicit?
They serve different users. Elicit is better and cheaper for individual academics doing literature reviews. Iris.ai is built for organizations that need patent coverage, internal-document search, and team workflows.
Can Iris.ai search my company's internal documents?
Yes — working across internal document collections alongside public literature and patents is one of its main differentiators from academic-focused tools.
Get the sweetest AI tools every week.
5 handpicked AI tools for developers, creators, and side hustlers — delivered weekly.
No spam. Unsubscribe anytime.
Use Iris.ai now
Enterprise AI research workspace for R&D teams that need to mine patents, papers, and internal documents.
Affiliate link — we may earn a commission.More AI Research tools
Other top-rated tools in this category, ranked by ROI Score.