AI infrastructure for the research lifecycle.

m3t reads the research you work with, extracting structured knowledge from every paper, linking it to your profile, your collaborators, and your funding history, and puts that intelligence to work across every workflow. It surfaces opportunities you would otherwise miss. Systematic reviews. Grant proposals. And the workflows we're building next. One semantic layer. Compounding value.

The problem

Researchers do the work machines should do, and miss the opportunities only they can find.

The mechanical parts of research, screening papers, formatting proposals, tracking compliance, still fall on researchers. Meanwhile, funding opportunities go undiscovered, literature gaps stay hidden, and connections between findings are left to chance. The time researchers spend on tasks that could be automated is time not spent on the thinking that actually advances knowledge.

m3t automates the mechanical work and surfaces the opportunities.

The approach

m3t builds a semantic layer from your research, once.

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 semantic layer that every workflow draws from.

You don't curate the papers, findings, or connections. You just work, and m3t gets more useful over time.

Use cases

Start wherever you are.

m3t meets you at your current task and draws on everything the intelligence layer already knows about your research.

01

Literature Review

Search across archives, read deeply, and extract structured knowledge from every paper you work with. Every source adds to the shared semantic layer your other workflows draw from.

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02

Systematic Review

Run a PRISMA-compliant review with AI-assisted screening, consistent data extraction, and full team collaboration. Every step logged, attributed, and auditable, from first search to final inclusion.

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03

Grant Application

Find relevant funding across NIH, NSF, UKRI, and Horizon Europe. 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 is the infrastructure that makes your research knowledge work for you, across every workflow, and over time.

Built for research teams who want more time for the work that matters.