Rayyan

Overview

Rayyan is an AI-powered systematic review and literature review platform that accelerates the entire evidence synthesis lifecycle. Named the world’s #1 systematic review platform, Rayyan is trusted by more than one million researchers at 20,000+ institutions across 190+ countries. It unifies the complete review workflow in a single collaborative workspace: import and organize references, invite collaborators and assign roles, deduplicate with the Systematic Auto-Resolver, screen titles/abstracts and full texts, extract structured study data, assess risk of bias, and export PRISMA-compliant reports for publication.

The platform integrates advanced AI assistance with researcher-centered controls. ResearchPilot™, the newly introduced institutional-grade module, delivers faster, accurate AI search, screening, and extraction. It includes zero-shot relevance ratings, an AI Analyzer, an AI Reviewer, and Auto-Extract Data, dramatically reducing manual triage. The Systematic Auto-Resolver removes duplicate records from up to 200,000 references using a team-defined protocol at the click of a button. Team coordination is supported by the Workbench, which centralizes project control, and Sampling, which creates randomized subsets for balanced workload distribution. The mobile app enables offline screening, turning wait times into productive research time.

Rayyan is engineered to meet the demands of large-scale evidence reviews while maintaining rigor. Built on six pillars—auditability, transparency, reproducibility, scalability, speed, and ease of use—every decision is fully traceable and visible, making reviews defensible and inspection-ready. Auto-generated PRISMA diagrams and complete audit trails facilitate replication and validation. The platform scales from thousands to millions of references without degrading performance, and its intuitive, researcher-first interface minimizes the learning curve. These capabilities shorten systematic review timelines from months to days, as highlighted by user testimonials from institutions such as the University of Toronto and the World Health Organization.

Rayyan is ideal for academic researchers, systematic review teams, biopharma and HEOR specialists, research institutions, and evidence-based policy teams. API access lets organizations extend Rayyan beyond the interface and embed its capabilities into existing workflows. A free basic plan is available, with advanced enterprise features for institutions. By combining AI with systematic review methodology, Rayyan accelerates evidence-based decision-making across the global research community.

Core capabilities

ResearchPilot™

Institutional-grade AI search, screening, and extraction with zero-shot relevance ratings, AI Analyzer, AI Reviewer, and Auto-Extract Data.

Risk of Bias (RoB)

Assess study quality with greater consistency and transparency using structured bias criteria.

Systematic Auto-Resolver

Deduplicate up to 200,000 references automatically using your own protocol.

Mobile App

Screen studies anywhere, even offline, to transform idle time into productive review time.

Sampling

Assign randomized subsets, divide workloads, and manage your review team from a single platform.

Data Extraction

Capture structured study data within the review workflow to standardize inputs.

Workbench

Control the full screening workflow from one collaborative workspace.

PICO Framework

Bring structure to study evaluation using Population, Intervention, Comparison, and Outcome criteria.

API Access

Extend Rayyan beyond the interface for integration with institutional pipelines.

Programmable Hot Keys

Speed up screening with keyboard shortcuts optimized for high-throughput tasks.

Use cases

Conducting a systematic review for clinical guidelines or public health recommendations.

Managing large-scale literature screening across distributed review teams.

Automating duplicate detection in imported citation databases.

Performing data extraction for meta-analysis.

Assessing risk of bias across included studies in a structured, transparent manner.

Generating PRISMA-compliant reports and audit trails for publication.

Integrating AI-assisted screening into custom institutional research pipelines.