Rayyan

Rayyan is a research collaboration platform for literature reviews and systematic reviews. It organizes imported references into an auditable workspace where researchers can deduplicate records, screen titles and abstracts, prioritize studies, collaborate in blinded or shared workflows, extract data, assess risk of bias, and export review reports. Its AI-assisted features include relevance ranking, PICO highlighting and filtering, Systematic Auto-Resolver, AI Reviewer, AI Analyzer, Auto Extraction, Chat with Abstracts, and Chat with Full Texts. Rayyan supports researchers, librarians, students, universities, healthcare teams, CROs, and evidence-focused organizations.

✨ Key Features

• Reference import — Import RIS, BibTeX, EndNote, CSV, TXT, CIW, NBIB, XML, and PDF files.
• Deduplication — Detect exact and near-duplicate studies and review or automatically resolve matches.
• Systematic screening — Mark Include, Exclude, or Maybe decisions with labels, reasons, notes, and filters.
• AI relevance ranking — Learn from screening decisions and prioritize undecided references by predicted relevance.
• Blinded collaboration — Hide reviewer decisions to reduce bias, then unblind and resolve conflicts.
• PICO extraction and filtering — Highlight Population, Intervention, Comparison, and Outcome elements in studies.
• Workbench — Filter, highlight, organize, and inspect references through natural-language and metadata facets.
• Data extraction — Collect structured data from included studies.
• Risk of Bias — Assess risk of bias within the systematic-review workflow.
• ResearchPilot — Use institutional AI modes such as AI Reviewer, AI Analyzer, Auto Extraction, and article/help-center chat when enabled.
• Sampling and assignment — Create randomized samples and divide screening work among collaborators.
• Reports, mobile, and API — Generate PRISMA, screening, extraction, agreement, and audit outputs; screen on iOS/Android and use API access on eligible plans.

💳 Pricing

• Free and Essential — Free is $0 forever for basic systematic-review use, with free reviewers/viewers able to participate without premium access. Essential is $8.33/month per seat billed quarterly and adds AI-powered research tools and premium individual-review capabilities.
• Advanced — $13.33/month per seat, billed quarterly; adds shared workflows and higher review limits for small research groups.
• Business / Academic and Enterprise — Business / Academic is $41.67 per license/month billed annually, starting with 5 licenses ($2,500 displayed), with ResearchPilot and institution features when enabled. Enterprise is custom-priced per license annually with unlimited scale, governance, SSO/SAML, dedicated support, and institution-wide deployment.

Rayyan's pricing page displays annual savings and institutional discounts may apply. Seats, licenses, review limits, AI availability, and collaborator roles differ by plan; ResearchPilot is an institutional capability and not included in individual plans. Confirm the live pricing page and institutional contract before purchase.

⚖️ Alternatives Compared

🎯 Use Cases

• Systematic reviews: Import database exports, deduplicate, screen, extract, appraise, and report evidence.
• Scoping reviews: Organize broad literature sets and prioritize screening with relevance signals.
• Clinical evidence synthesis: Coordinate healthcare or medical-device review teams with audit trails.
• Cochrane-style collaboration: Run blinded dual screening and conflict resolution across reviewers.
• Rapid reviews: Divide large reference sets and use AI assistance to accelerate prioritization.
• Academic research: Support student, doctoral, postdoctoral, and faculty evidence projects.
• CRO and pharma work: Manage repeatable review workflows across departments and client studies.
• Bias and extraction workflows: Capture structured study data and risk-of-bias judgments.
• Institutional research operations: Deploy licensed access, SSO, governance, and ResearchPilot at scale.

AI rankings and extraction support researcher judgment; they do not replace protocol-defined inclusion criteria or expert review. Validate AI suggestions, preserve an audit trail, protect unpublished or sensitive studies, and verify export results before publication or clinical use.