The research platform that guides you through systematic reviews and meta-analysis, with AI that runs on your own machine, so your data stays there by default.
By default, Compendium runs open AI models on your own hardware: no uploads of your research content. Ideal for ethics boards, LGPD/GDPR and institutions. There is no cloud option to opt into in the current beta: nothing leaves your machine by default.
From protocol and screening through extraction, risk of bias, meta-analysis and PRISMA reporting, one guided pipeline, with local AI drafting and explaining itself at each step. Four moments below show what it feels like in the real app; every call stays yours.
Guided PICO / PROSPERO. Pin down the question and lock a reproducible protocol, drafted by local AI, decided by you.
Build a reproducible search strategy with synonym blocks and AND/OR logic, the raw per-database queries are generated live as you edit.
RoB 2 flags trustworthiness across five domains: colour plus glyph, never colour alone. The tool proposes a judgment; you can override any domain.
A PRISMA diagram and the right reporting guideline are built from your decisions, with a methods draft, exported to PDF or DOCX.
Screens shown in Portuguese: the app's interface (and this demo review) run in Portuguese today; an English UI pass is on the roadmap.
Below, an actual screenshot of the desktop app: full-text screening, with the local AI's own suggestion, a leaning verdict and a literal quote from the PDF, offset-verified, right next to your decision.
A real screenshot of the app's own local AI reader, explore it yourself once you're in. Design continues to evolve.
Compendium starts with systematic reviews and meta-analysis, built around gold-standard reporting guidelines. More study types are on the roadmap.
Randomized and interventional study designs
Cohort, case-control and cross-sectional designs
Structured reporting of individual clinical cases
Studies that evaluate tests and diagnostic tools
Planning and registering research before it starts
Development and validation of predictive models
Cost-effectiveness and health-economics studies
Interview, focus-group and mixed-methods studies
Each will be built around the gold-standard reporting guideline for its design, with the same guided, privacy-first, human-in-the-loop approach. None of these are available yet. Email us to help decide the order.
Compendium guides you to a submission-ready forest plot and a PRISMA diagram, with every number traceable to its source. A finished synthesis, not a pile of tabs.
No. You stay the reviewer of record. The AI drafts, screens and shows reviewer agreement (κ), but every call is yours, with transparent AI-use disclosure.
By default, nothing leaves your machine: open local models only, no cloud option in the current beta. Ideal for sensitive data, ethics boards and LGPD/GDPR. Export to PDF/DOCX anytime, no lock-in.
Compendium runs the whole PRISMA pipeline in one place, screening, RoB 2, meta-analysis, PRISMA diagram, locally with AI. It's early access, with the core workflow real and usable today.
Today: systematic reviews and meta-analysis (PRISMA), end to end. More study types are on the roadmap.
We're upfront: early access, no paying customers yet. The core workflow is real and usable, but you'd be an early adopter, not buying a finished platform.
Yes. Built for your first study, with guided steps so PRISMA and RoB 2 come built into the flow, not something you assemble yourself.
For researchers in Brazil, the US and the UK, yes: a July 2026 legal review found no blocker for the current free beta in any of the three. The beta is local-first, runs without a backend and, by default, collects no personal data beyond an optional support email. That's not a compliance certificate, just no blocker found so far. Somewhere else? Email us and we'll look at your case.
Early access and the launch price for the first researchers who reach out. Help shape the roadmap.