Literature Review
Search across archives, read deeply, and extract structured knowledge from every paper you work with. Every source adds to your research picture.
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Research platform
Research, from question to funding.
m3t builds a deep picture of your research — the papers you work with, the findings they contain, your collaborators and your grants — and puts that understanding to work across every workflow. Less coordination. More research.
The problem
Researchers use six tools where one should suffice.
Research workflows are fragmented by design. Literature search happens in one place, screening in another, data extraction somewhere else — coordinated through spreadsheets, shared documents, and email. Grant applications add a separate layer of tools on top. None of it connects. Every handoff is a source of error, delay, and lost context.
m3t is the workspace that connects them.
The approach
m3t starts by understanding your research.
Every paper you work with, m3t reads in depth — extracting structured findings, methods, populations, and the relationships between ideas. Combined with your researcher profile, your collaborators, and your funding history, this becomes a shared foundation that every tool draws from.
You don't manage the data. You just work, and it gets more useful over time.
Where to start
Start wherever you are.
m3t meets you at your current task and draws on everything you've already done.
Systematic Review
Run a PRISMA-compliant review with AI-assisted screening, consistent data extraction, and full team collaboration. Every step logged and auditable.
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Find relevant funding, surface gaps in the literature, and build proposals grounded in what your research actually shows. From discovery to formatted submission.
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The compounding effect
Each workflow makes the others stronger.
The literature you review informs your grant proposal. Your researcher profile shapes which funding surfaces first. Your extracted findings become the evidence base for your next application. The collaborators you work with enrich a shared knowledge layer that every future task draws from.
m3t connects what you know to what you need to do next.