Systematic reviews in days, not months
The screening and extraction phases of an SLR are mechanical torture. Our AI assistant handles the spreadsheet work so you can focus on the science.
If you've done a systematic review, you know the drill. Screen 3,000 titles. Read 500 abstracts. Pull data from 47 papers into a spreadsheet. Spend two weeks copying sample sizes, effect sizes, and confidence intervals into cells. Then do it again because your co-reviewer disagrees on three inclusions.
The intellectual work — defining your protocol, making inclusion judgements, interpreting conflicting evidence — that's valuable. The mechanical work — reading the same boilerplate methods sections 200 times, copying numbers into Excel — that's just pain. AI should handle the pain part.
That's exactly what our SLR assistant does. You bring the research question and the protocol. It handles the copying, screening, and tabulation.
What it handles for you
- Searches 300M+ papers against your inclusion/exclusion criteria.
- Screens titles and abstracts using your PICO framework — population, intervention, comparator, outcome.
- Extracts structured data: study design, sample size, primary outcome, effect size, CIs, and author conclusions.
- Flags where studies agree and where they conflict, so you can see the evidence landscape at a glance.
- Generates a PRISMA flow diagram ready to paste into your manuscript.
- Exports to formats compatible with Covidence, RevMan, and other standard SLR tools.
You still own the review
Every screening decision is overridable. Every extraction links back to the source text for verification. The AI suggests — you decide. Your name goes on the paper, and the final calls are yours. We just got you there without the 2am spreadsheet sessions.
Early users tell us they're finishing screening in days instead of weeks. Same quality, less suffering.
Start a review.
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