One real review, end to end, at no cost.
The free tier runs the full pipeline on one real review, end to end — PRISMA-aligned defaults and guardrails on every step, with a validated statistical engine running under the hood.
Free tier · PRISMA-aligned · validated statisticsFrom a review you submit and forget to one you can keep alive.
Same workflow, two states. Flip the switch to see what changes.
Live · re-runs on your schedule
- Your review
- Re-runs whenever you want
- living
- Staying current
- Automatic, on a schedule
- automatic
- The statistics
- A validated engine, no code
- validated
The whole pipeline, without the scaffolding.
Build the review once with guided defaults, keep it current if you want to, and inspect every number — no code, same rigour.
Build the comparison once
- A systematic review and a network meta-analysis
- Anchored against every relevant comparator
- Defensible from the first submission
Re-runs on a schedule
- The whole pipeline re-runs on a cadence
- Flags when a new trial moves the result
- A signed record of what changed, each cycle
No black box
- Deterministic statistics — same inputs, same result
- Every estimate traces to its source study
- Change an assumption and re-run
The same engine the pros run.
We reproduced a published meta-analysis: 3 of 4 endpoints within 6%.
One analyst rebuilt a peer-reviewed meta-analysis end to end in 2 days. Pooled estimates for three of four endpoints landed within 6% of the published values, and the case study explains the fourth. The statistics are deterministic: the same inputs always give the same result.
Read the case studyComparisons a committee will accept
Pairwise and network meta-analysis, plus population-adjusted indirect comparisons, with certainty grading — every step inspectable.
- Network meta-analysis
- MAIC
- STC
- ML-NMR
- Custom methods
- GRADE certainty