Investor matchmaking on a verified investor database

An investor matchmaking platform is only as good as the database underneath it. Matching against stale or scraped data produces confident scores pointing at dead inboxes.

What "verified" should mean

Three things, concretely: the firm still exists and still deploys (capital freshness, not just a logo); the contact is a real person still at the firm, with a deliverable email; and the profile carries the fields matching actually needs: thesis, stage, check size, sector focus.

How Lunra's graph works

Lunra maintains one investor graph built from primary sources (SEC filings among them) and continuous enrichment: 39,000+ investor profiles with tens of thousands of verified contact emails. Every investor is scored against a specific deal on thesis fit, stage, check size, capital freshness, and reachability, so the ranked list is both "right for this deal" and "actually contactable." Firm-level profiles are browsable in the public investor directory; contact emails are never published there.

Signal on top of the database

A static database ages from the moment it is compiled. Investor Signal watches X activity and fresh SEC filings hourly, so timing (who just raised a fund, who is actively writing checks) becomes part of the match, not a separate research chore.