Too many decks
Hundreds of inbound and sourced companies a month, and the founder worth backing is somewhere in the pile that never gets a real read.
Too many decks, not enough hours. ScoringFactory reads the real record and scores the founders and companies in your pipeline against your thesis, surfacing the ones worth diligence with the exact line of evidence behind every call. Your partners keep the judgment. The memo just writes faster and holds up at IC.
Great founders get lost in the volume, gut calls fall apart the moment a partner pushes back, and a score nobody can trace is a score nobody trusts.
Hundreds of inbound and sourced companies a month, and the founder worth backing is somewhere in the pile that never gets a real read.
A conviction you cannot break down into evidence does not survive the room. The deal dies on a question you could have answered.
A number with no receipt is worse than no number. If nobody can defend where it came from, nobody puts it in the memo.
ScoringFactory builds a bespoke company brain from your thesis and how your team actually decides, then scores every company against your bar with the evidence attached.
// Your thesis, encoded as a scoring bar const thesis = { stage: "pre-seed to seed", sector: [ "dev tools", "infra" ], dimensions: { founderSignal: 0.30, traction: 0.25, marketFit: 0.20, teamAndNetwork: 0.15, momentum: 0.10, }, evidence: "verbatim from the record", }; // calibrated on your deals, not a template
ScoringFactory reads from the diligence data you already pay for and writes the score, with receipts, straight back into the deal record.
Every company profile is built from the sources your team trusts, so the score sits on real signal instead of a founder's framing.
The score and its evidence sync back onto the deal, so nobody re-keys a thing and the shortlist lives where your team already tracks it.
Score the whole pipeline in the time it took to skim a handful of decks, and walk into IC with the evidence already assembled.
Score every inbound and sourced company against your thesis in a single pass, so the founder worth backing never sits unread in the pile.
Each dimension traces to the exact line of evidence that earned it. Defend any call to your partners, your LPs, or the IC with proof, not a gut feel.
Founder signal, traction, market fit, team and network, and momentum, each weighted the way your fund weights them. Consistent across every deal and every partner.
What partners, ops, and IT ask before they trust a score.
Onboarding is a guided engagement, not a 60-second form. Our team runs working sessions to capture your thesis, your rubric, and how your partners actually decide, then builds a bespoke company brain and validates it against your real deals. From there it scores every company against your bar and sharpens with each pass you review.
No. It augments it. ScoringFactory surfaces the companies worth diligence and assembles the evidence, so your partners spend their judgment on the deals that clear the bar instead of triaging the pile. The conviction and the decision stay yours. The score just makes them faster to reach and easier to defend.
For diligence we read from Crunchbase, PitchBook, Harmonic, LinkedIn, and Apollo, and scores sync back to your CRM in Affinity, Salesforce, or HubSpot. It is model-agnostic too: run scoring on OpenAI, Claude, Gemini, your own cloud tenant, or bring your own key.
Data is encrypted in transit and at rest, stored in an isolated database for each customer, and never used to train shared models. We run on SOC 2 Type II certified infrastructure, and a DPA is available on request.
Bring your thesis and your pipeline. We build the company brain, score the deal flow, and hand back a ranked shortlist your IC can trust.