Stop spending weeks manually screening research papers and managing citations—Rayyan automates the heavy lifting of systematic literature reviews so your team can focus on analysis and insights.
Rayyan is an AI-powered platform that streamlines the entire systematic literature review process, from initial paper screening to final data extraction. Instead of your research team manually reading through hundreds or thousands of papers to determine relevance, Rayyan's machine learning algorithms learn your screening criteria and automatically flag papers that match your project scope. This cuts screening time from weeks to days, letting you move faster from research to actionable findings.
The platform handles all the organizational chaos of managing research: tracking which team members screened which papers, flagging disagreements for discussion, and extracting key data points automatically. Everything lives in one cloud-based workspace, eliminating version control nightmares and lost spreadsheets. For small research teams or consulting firms running client studies, this means better collaboration, fewer errors, and faster project delivery—directly impacting your ability to take on more projects or meet tighter deadlines.
Academic research teams, medical and healthcare consulting firms, evidence-based policy organizations, law research departments, market research agencies, pharmaceutical companies conducting literature reviews, and any business needing to synthesize large volumes of published research quickly and systematically.
Rayyan offers a free tier for basic single-user reviews and freemium plans starting around $40/month per user for team features, with enterprise pricing available.
A typical systematic literature review screening phase costs $8,000–$15,000 in labor hours for a small team. Rayyan cuts that timeline by 50–70%, saving $4,000–$10,500 per project while improving accuracy through AI assistance and reducing human error. For consulting firms or research departments running multiple reviews annually, the cumulative savings exceed $30,000–$50,000 per year while enabling teams to complete more projects and deliver faster client turnarounds. The platform also reduces publication delays by weeks, helping research reach market or stakeholders faster.
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