Rayyan

Rayyan

Rayyan is an AI-assisted web platform for conducting systematic literature reviews, covering screening, deduplication, data extraction, risk of bias, and team collaboration for researchers.

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ai-research-tooleducationSAASfreemiumevidence-synthesis
Last Updated Oct 21, 2026
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About

Rayyan is a web-based platform for conducting systematic and scoping literature reviews. Systematic reviews traditionally require teams to screen thousands of citations by hand, a process that can take months; Rayyan applies AI relevance predictions, automated deduplication, and shared workflows to compress that timeline substantially.

The platform covers the full review lifecycle: importing and organizing references, inviting collaborators, deduplicating records, title/abstract and full-text screening, data extraction, risk of bias assessment, and reporting with an auto-generated PRISMA flow diagram. Rayyan is developed by a company headquartered in Cambridge, Massachusetts, and the company reports more than one million researchers across 30,000+ institutions in over 190 countries have used it, supporting over three million systematic reviews.

Key Features

AI-assisted screening: The system learns from a reviewer's inclusion and exclusion decisions and prioritizes the remaining citations, shortening screening time.
Systematic Auto-Resolver: Deduplicates up to 200,000 references in one pass according to the reviewer's own protocol.
ResearchPilot™: A newer offering for institutions that adds zero-shot relevance ratings, an AI Analyzer, an AI Reviewer, and automatic data extraction.
Risk of Bias (RoB) assessment: Lets teams apply bias criteria and record quality evaluations within the same platform.
Data extraction and PICO framework: Reviewers define structured extraction fields and evaluate studies against the PICO structure.
Collaboration tools: A workbench supports roles, randomized data sampling, workload division, and conflict resolution across team members.
Mobile app and hot keys: Screening is possible on the go (including offline), and programmable keyboard shortcuts speed up desktop work; API access extends the platform further.

Pricing & Fees

  • Pricing: A Free plan allows 3 active reviews, 2 free reviewers, and 1 sample; Essential costs $8.33/month billed quarterly and Advanced costs $13.33/month billed quarterly. Annual billing saves up to 40%, and higher tiers and institutional plans are sold via sales contact.
  • Free tier: The basic plan is free forever and requires no credit card to start.
  • Scale: The platform is built to handle libraries ranging from thousands to millions of references.
  • Auditability: Decision trails and auto-generated PRISMA diagrams support reproducible, inspection-ready reviews.

Who It's For

Rayyan is aimed at academic researchers, graduate students, and methodologists who run systematic, scoping, or rapid reviews, as well as biopharma and health-economics (HEOR) teams that need documented, reproducible evidence synthesis. It also suits medical librarians and clinical teams supporting guideline work, and any group that must coordinate screening across multiple reviewers while maintaining a defensible audit trail for publication or regulatory review.

FAQ

What is Rayyan?Rayyan is an AI-assisted platform for systematic literature reviews that supports the entire workflow, from importing references and deduplication through screening, data extraction, risk of bias assessment, and PRISMA-based reporting.

Is Rayyan free to use?Yes, Rayyan offers a free plan (3 active reviews, 2 invited reviewers, AI relevance predictions, and duplicate detection), with paid plans starting at $8.33 per month billed quarterly; the vendor also sells institutional options such as ResearchPilot™.

Does Rayyan work on mobile devices?Yes, Rayyan provides a mobile app that supports screening anywhere, including offline use; free plans have limited mobile access while paid plans include unlimited mobile app access.

Can multiple reviewers collaborate in Rayyan?Yes, teams can invite collaborators, assign roles, randomize subsets, divide workloads, and resolve screening conflicts, with every decision recorded for transparency and reproducibility.

Does Rayyan support data extraction and risk of bias assessment?Yes, reviewers can define structured extraction fields, apply the PICO framework, and use the Risk of Bias feature to record study quality evaluations within the platform.