m3t draws on what it already knows about your research, your literature, your profile, your collaborators, and puts that intelligence to work across every stage of your grant application. The evidence base is already there. m3t helps you use it.
Request early accessm3t matches your research profile, built from your publication history, against a structured database of funding opportunities. Starting with NIH, NSF, UKRI, and Horizon Europe, with more funders being added. Filter by career stage, deadline, award size, and geographic eligibility. Add grants you find elsewhere; they're stored alongside everything else.
Upload your reading list. m3t extracts structured data from every paper and identifies what's missing: constructs studied but never with certain methods, limitations that appear across multiple studies, findings that conflict and haven't been explained. These become the backbone of your significance section.
Starting from scratch, m3t interviews you on the parts that need your thinking, aims, methodology, team, timeline, and drafts the sections that follow from them. Have an existing draft? Upload it and m3t identifies what's missing against the funder's requirements. A task queue tracks what's done and what's left.
NIH values preliminary data. ERC rewards conceptual ambition. m3t surfaces patterns from funded project abstracts, program officer guidance, and strategic priorities, so you can frame your work in terms reviewers recognise, not just terms that are accurate.
Fonts, margins, page limits, reference formats, biosketch templates, data management plans. m3t generates properly formatted documents per funder. Before you submit, a compliance checklist confirms every requirement is met.