Every company scored against your thesis, every score explained
The engine pulls companies from the data you already pay for, scores each one against your criteria, watches for signals and drafts the first outreach. Your team tunes the thesis and approves what goes out. Built for VC, PE and corporate M&A.
Runs in your browser on 24 fictional companies. Nothing to install or sign up for.
Brightmark Inspection, scored for a lower middle market buyout firm. Every number in the score has its reason beside it.
Six things the demo does end to end
One universe, every source
Companies from PitchBook, Crunchbase, Grata, LinkedIn and state filings are merged into one record each, with revenue, EBITDA, ownership and contacts filled in.
Scored against your thesis
Every company gets a score out of 100 and a tier. High fit goes to partner review, the watchlist waits for new signals, and the rest are passed.
Every score explained
Each criterion shows its weight, its score and the fact behind it. An analyst summary names why the company fits, its main gap and the next step.
Tune the thesis live
Move a weight or switch a hard filter and the whole universe re-ranks on the spot. Companies a filter excludes stay visible, with the reason.
Three kinds of deal team
Switch between a Series A fund, a lower middle market buyout firm and a corporate development team. The same companies rank completely differently for each.
Signals, pipeline and outreach
Senior hires, leadership changes and succession signals surface as they happen. Matches move through a pipeline, and first emails are drafted for approval.
Three steps, five minutes
Take the guided tour
Two minutes. A spotlight walks through matches, the score breakdown, the analyst summary, tuning the thesis, switching firms and outreach.
Switch to PE, then M&A
Use the VC, PE and M&A switch at the top. Open the top company for each and compare why it ranks first.
Change the thesis
On Thesis, drag a weight or turn on a filter and watch the ranking move. Then click Run sourcing to watch a sourcing pass add new companies.
We build your deal sourcing engine, custom for your thesis
The demo runs on fictional companies. A real build runs on your data and is fitted to how your team already sources deals.
Your thesis, encoded
The criteria, weights, hard filters and exclusions your partners already use, adjustable by your team without a developer.
Your data subscriptions
Connected to the sources you already pay for, such as PitchBook, Grata, Crunchbase or SourceScrub, plus filings, the web and your own CRM history.
Reasoning you can check
Claude writes the analyst summary and the outreach, with every fact linked to the source it came from and a person approving what goes out.
Inside your workflow
Matches land in Affinity, DealCloud, HubSpot or Salesforce with the reasoning attached, and drafts arrive in your inbox for review.
Want this on your deal flow?
Thirty minutes with Ishaan to walk through how your team sources deals today and what a custom build would look like.
Book a free callor write to us at [email protected]