Turn an investment thesis into a ranked startup shortlist
Resolve human-readable sectors and locations, translate a thesis into Dealroom filters, and rank matching European industrial AI startups by signal score.
Dealroom API Cookbooks
Practical guides that begin with a real workflow and end with working code, inspectable output, and a clear next step.
Resolve human-readable sectors and locations, translate a thesis into Dealroom filters, and rank matching European industrial AI startups by signal score.
Persist a baseline, compare stable record IDs, and emit only the signals that appeared or disappeared since the last API check.
Join company facts, funding, valuations, investors, team, financials, web traffic, and headcount into a source-aware brief for one startup.
Start with a known startup, rank similar companies inside a filtered candidate pool, and explain each result with shared taxonomy evidence.
Rank active investors by relevant portfolio investments, recent activity, and a typical deal-size range that overlaps the planned raise.
Compare European and global quantum funding over time, calculate regional momentum, and identify the companies behind the curve.
Screen companies with Dealroom Timing and Team signals, then add funding, headcount, and hiring context for human review.
Reconcile messy CRM rows with deterministic match rules, preserve confidence flags, add company fields, and calculate an editable research priority score.
Resolve one university, verify founder alumni by education UUID, and connect those people to the startups they built without mislabelling alumni companies as spinouts.
Resolve a limited partner, retrieve its recorded manager relationships, and inspect those managers’ funds with the evidence kept separate.