PRISMA-compliant Systematic Reviews in hours, not months
Scholara automates the entire systematic review workflow: literature search, screening, data extraction, and meta-analysis
Trusted by researchers from
Built specifically for evidence synthesis
Screening that works
AI-powered screening learns your inclusion criteria and surfaces the most relevant studies first. Review thousands of papers in hours, not weeks
Data extraction, simplified
Extract structured data from PDFs automatically. Define your extraction schema once, and let AI populate your data tables with precision
Transparent, auditable decisions
Every AI decision comes with an explanation. Full audit trails ensure your review meets PRISMA guidelines and withstands peer review
From research question to
search strategy
Start with your PICO framework and let Scholara generate comprehensive, reproducible search strategies across PubMed, Cochrane, and major databases
Thousands of studies,
screened in hours
Import results from PubMed, Embase, Cochrane, and more. Our AI learns your criteria and surfaces the most relevant studies first for systematic title-abstract screening
Structured data from
unstructured PDFs
Define your extraction schema and let AI populate your data tables. Every extracted
value is linked back to its source for easy verification
See the bigger picture,
instantly
Generate forest plots, and sub-group forest plots. Export publication-ready
figures for your manuscript
What researchers are saying
“Scholara is beautiful and certainly an inspired use of AI.”
Anna Adams
Oxford / Johnson & Johnson
“Scholara let us complete a full systematic review that I wouldn't have taken on without it.”
Dr. Tiffany Ma
GambitBio
“The results are very impressive - achieving >90% in most evaluation metrics whilst providing a 180x reduction in performance time is incredible.”
Dr. Joe Cutteridge
Doctor and Researcher
“This could be gamechanging for medical students and medical residents doing research projects.”
Dr. Bilaal Hassan
Texas Rehabilitation Hospital
“Scholara has been an excellent resource for my scoping review on fortified nutrition in neonates. It allowed me to reliably map out an overview of all the relevant literature.”
Dr. Anna Caganek
Medical University of Vienna
“Very sleek design, compelling data!”
Dr. Andreas Huysman
Ghent University
Frequently Asked
Questions
Scholara is an AI-powered platform that automates the systematic review process end-to-end — from structuring your research question and building PubMed search strategies, through screening thousands of abstracts, to running meta-analyses with forest plots.
Most tools only handle one piece of the pipeline (usually screening). Scholara covers the entire workflow from PICO extraction, to MeSH-based search strategy building with live PubMed result previews, triple-AI screening with consensus voting, data extraction, RoB2 quality assessment, and statistical meta-analysis, all in one place.
Each article is independently evaluated by three AI agents. They vote on inclusion or exclusion using majority consensus. When agents disagree, the article is flagged for your manual review. You can see each agent's reasoning and confidence score.
A single agent can have blind spots. By using three independently developed agents and requiring consensus, Scholara reduces the risk of incorrectly excluding relevant studies, which is the most critical error in a systematic review.
Yes. The platform is structured around PRISMA and can generate flow diagrams automatically based on your review's actual screening numbers.
It depends on scope, but reviews that traditionally take 3–6 months can often be completed in days. The AI handles the bulk of screening and extraction while you focus on critical decisions.
Start your next review today
Join the next generation of researchers using Scholara to
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