Iris.ai vs Rayyan
A detailed comparison to help you choose between Iris.ai and Rayyan.
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Verdict: Rayyan wins
Rayyan scores 4.2/5, edging out Iris.ai at 3.6/5. Health and evidence-synthesis teams — from student pairs to institutional units — running collaborative blinded screening for systematic reviews and meta-analyses.
Iris.ai AI workspace for research and innovation | Rayyan AI systematic review tool for researchers | |
|---|---|---|
| Rating | 3.6 (1 review) | 4.2 (1 review) |
| Pricing Model | paid | freemium |
| Starting Price | From $200/mo | Free tier available |
| Best For | Enterprise R&D and innovation teams in life sciences, manufacturing, energy or telecom that need traceable AI over internal and published technical text and have an implementation budget. | Health and evidence-synthesis teams — from student pairs to institutional units — running collaborative blinded screening for systematic reviews and meta-analyses. |
| Free Tier | ||
| API Access | ||
| Team Features | ||
| Open Source | ||
| Tags | team features | free tierteam features |
| Visit Iris.ai → | Visit Rayyan → |
Iris.ai
Pros
- + Ten years of operating history (founded 2015 in Norway) with named customers in exactly its target verticals — Syngenta, USDA, Standard Industries on the site at time of writing
- + Control-and-provenance framing — restricted source access plus traced answer paths — matches what regulated R&D teams actually need
- + Real product lineage: the Researcher Workspace releases (2022–2023) show working topic mapping, screening and extraction, not a fresh wrapper on a model API
- + Institutional funding including European Innovation Council backing and a €7.6M Series A reduces the vendor-risk profile versus younger AI startups
- + Engineering blog and published release history are substantive, which is a better durability signal than most AI vendors offer
Cons
- - No free tier, no self-serve trial and no published prices — iris.ai/pricing served marketing content when I fetched it, so evaluation starts at a sales call
- - Third-party pricing claims conflict ($70–$279/user/month in aggregators versus $200 in my source data); none are vendor-confirmed and I could not verify any
- - The vendor claim 'the result holds every time' overstates what AI systems do; insist on benchmarking against your own corpus before signing
- - Third-party sources describe onboarding as requiring data-engineering scoping (ERP, SharePoint, document management) — this is a project, not a sign-up
- - Public product surface has contracted behind the demo wall, so an independent evaluator cannot verify output quality before engaging sales
Rayyan
Pros
- + Zero-shot AI relevance predictions genuinely reorder the screening queue — relevance ranking appeared within seconds of import in my testing with no training examples
- + Blinded duplicate screening with conflict resolution and dedup that caught conference-abstract/journal-article near-duplicates my DOI pass missed
- + Workable free tier: 3 active reviews, 2 reviewers, duplicate detection and AI predictions included — enough for a real first review
- + PRISMA flow diagram generation (Essential+) saves hours of manual diagramming per review
- + Cheap paid seats — $4.99/seat/month billed annually per third-party listings, $8.33/month billed quarterly per rayyan.ai at time of writing
Cons
- - AI predictions prioritize the queue but must not replace human duplicate screening decisions — no trustworthy auto-inclusion
- - Not a literature-search tool: does not run database searches or find studies for you
- - Advanced form customization and branching logic are thinner than DistillerSR/EPPI-Reviewer-class enterprise tools
- - Healthcare/medical-first user base and templates; other fields work but the community flavor is clinical
- - Pricing signals conflict across third-party listings versus the vendor page — verify before budgeting
Frequently Asked Questions
Which is better, Iris.ai or Rayyan?▼
Rayyan scores higher at 4.2/5 vs 3.6/5 for Iris.ai, making it the better-rated option in our comparison.
What is the difference between Iris.ai and Rayyan?▼
Iris.ai: Iris.ai is a research AI platform for technical and scientific teams, controlling which sources a model reads and tracing how it reaches an answer. Rayyan: Rayyan helps research teams screen and sort citations for systematic literature reviews, with collaborative inclusion and exclusion decisions.
Is Iris.ai or Rayyan more affordable?▼
Iris.ai starts at €200/mo, Rayyan starts at €0/mo. Check the comparison table above for current pricing.
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