Scored shortlists
Collaborative filtering over the co-investment graph, plus text similarity between your company and how a fund describes its own thesis. Two independent signals, one ranking.
Startup & investor discovery · data as of July 2026
FundFit ranks them against your company using co-investment patterns and what funds actually write about themselves — so you start from a shortlist instead of a spreadsheet.
How it works
Every match tells you why it surfaced. No black box, no score you have to take on faith — if the reason doesn't hold up, you skip it and move on.
Collaborative filtering over the co-investment graph, plus text similarity between your company and how a fund describes its own thesis. Two independent signals, one ranking.
Shared co-investors, sector overlap, stage fit, region and typical check size — shown as the actual reason a fund ranked where it did.
Rounds deduplicated and attributed, each linked to the investors that participated — so you can trace who actually backed a company and when.
Stated check sizes, stage focus and lead-or-follow behaviour where funds publish them, with regional activity across nine global markets.
How well it works
Most platforms in this category don't publish an accuracy figure. Ours is below — measured over 228 held-out companies against 29,877 candidate investors.
The data
Assembled from public funding records. Not every field is filled for every record — here is what is actually populated, so you know where the gaps are before you rely on it.
Sector and region labels sit lower because they are inferred from text rather than reported. Anything below half is a field we would not lean on without checking it first.
Who it's for
FundFit is access-reviewed — request an account and we'll look at it. Founders and investors both welcome.