Systematic reviews that hold up
under scrutiny.
Automate the entire systematic review workflow: literature search,
screening, data extraction, and meta-analysis
Trusted by researchers from
Built for evidence-based research
Cut abstract screening down to hours
Three AI agents learn your inclusion criteria and rank thousands of abstracts by relevance, so the studies worth reading rise to the top, and every excluded paper carries the reason it didn't fit.
Structured data from raw PDFs
Define your extraction schema once and reuse it across every included study. AI pulls the same fields from each PDF and links every value to its source paragraph. Clean, comparable rows ready for analysis.
Audit-ready by default
Every screening call, search query, and extracted value ships with the rationale that produced it. Your review is PRISMA-compliant out of the box, and reviewers see exactly how each decision was made.
Search protocol
Create defensible search strategies
Start with your PICO framework and generate search strategies
across PubMed, Cochrane, and major databases.
Screening
Screen thousands of studies
in a single sitting
Import results from PubMed, Embase, Cochrane, and more.
Three independent agents vote on inclusion whose disagreements flag for your review.
Data extraction
Extract 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.
Graphs
Generate publication-ready plots
Interactive forest plots, sub-group analyses, and sensitivity diagrams,
rendered the moment your data is available.
Audit trail
View the reasoning behind
every decision
See exactly how each AI agent voted, the rationale they gave,
and the confidence behind every include or exclude call.
Explore more features
Triple-agent consensus screening
Every abstract is reviewed by three independent AI agents that argue inclusion, exclusion, and edge cases against your protocol. Decisions only land when at least two agree, and every vote ships with the rationale that produced it, so your screening log is audit-ready out of the box.
Every study in one place
Citations, full-text PDFs, extracted data, screening decisions, and meta-analysis rows all live on a single study record. No spreadsheet handoffs, no version drift. Sort, filter, and export the full review as a structured dataset whenever your manuscript needs it.
Methods sections that write themselves
Every protocol, search log, screening decision, and exclusion reason rolls up into a live PRISMA 2020 flow diagram. Reporting checklists, search strategies, and inter-rater agreement stay aligned with PRISMA-S and PRISMA-P guidance.
Pricing that scales with your reviews
Start free, scale as your reviews grow.
Free
/month
Evaluate Scholara on a real review
- Up to 300 abstract screens / day (2,500 / month)
- PubMed, ClinicalTrials.gov, Europe PMC
- Grey literature & patents
- AI screening with rationale
- PICO + MeSH protocol building
Starter
/month
Everything in the trial, plus
- Unlimited active reviews
- Up to 7,500 studies per search
- Up to 750 abstract screens / day (10,000 / month)
- CSV exports
- Standard support
Pro
Most Popular/month
Everything in Starter, plus
- Unlimited studies per search
- Up to 2,500 abstract screens / day
- All export formats
- Protocol & study import
- Priority queue
- Priority support
Team
/seat/month
Everything in Pro, plus
- Up to 2,500 abstract screens / seat / day
- Up to 60 full-text screens / seat / day
- Up to 60 data extractions / seat / day
- Shared workspace
- Data privacy
Enterprise
Tailored to your organization
Everything in Team, and
- Custom usage limits
- Custom seats
- SSO/SAML
- SOC 2, ISO27001
- Dedicated Slack channel
Join thousands of researchers
“Scholara is beautiful and certainly an inspired use of AI.”
Anna Adams
Oxford University
“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 is 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
Free supports a small evaluation review (~100 abstracts and ~10 PDFs per 24 hours). Starter handles a typical solo SR (~500 abstracts per day). Pro covers power-user workflows at ~2,000 abstracts per day. Team scales per seat (~2,000 abstracts and 50 full-text screens per seat per day) for multi-seat labs, plus shared workspaces and data privacy. Limits reset on rolling 24-hour windows.
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
100 free abstracts and the full review workflow.
No credit card required.