Score your deal flow. Back the right founders first.
Write down your thesis. ScoringFactory reads every founder in your pile against it, using their real history, and hands back a ranked shortlist with the evidence behind every call.
app.scoringfactory.ai/dashboard
Thesis
Every founder scored against your bar, not a generic model.
Evidence
Every score traces to a real fact in their history you can click.
Ranked
A shortlist sorted by fit. Work the top, skip the rest.
60s
From your thesis to live scores on your deal flow.
Built for how investment teams operate
Why ScoringFactory
Your pile is bigger than your attention.
You see thousands of deals a year and fund a dozen. The good ones slip through for dumb reasons. Three places it happens.
Most deals get two minutes
You see thousands a year and fund a handful. Great founders slip through because they came in cold or had a messy deck, not because they were wrong.
Your thesis lives in your head
Every partner has a bar, but nobody applies it the same way twice. Two people score the same founder differently. There is no shared rubric the firm runs every deal through.
Decks are padded
Ex-Google. Led 50 people. 40% month over month. Some of it is real, some is air. Nobody re-reads a founder's actual track record at sourcing speed.
How it works
Set your thesis. The AI reads the pile.
You write down what a fundable founder looks like. The AI reads everyone against it, on evidence, and ranks them.
01
Set your thesis
Write down what a fundable founder looks like to you: stage, market, technical depth, traction shape, founder type.
02
Let it read the pile
The AI reads every founder and operator against your bar, using their real history and evidence, not the deck's spin.
03
Get a ranked list
A shortlist sorted by thesis fit, where every score traces back to a real artifact you can click and check.
What it does
Score founders, with the receipts.
Every founder in your deal flow, scored against your thesis, with the evidence behind every number.
Your whole deal flow
Every founder in your pile, ranked.
One view of your whole deal flow, scored against your thesis. The strongest founders float to the top, each with the evidence behind the score.
Founder score
Every score breaks down.
Thesis Fit, Technical Depth, Traction, Founder Quality. Every founder scored across the dimensions you weight, calibrated to your thesis, each one backed by real evidence.
Thesis Fit
94
Technical Depth
88
Traction
79
Founder Quality
71
Receipts
Every score, and the line that earned it.
Before you take the meeting, see exactly why a founder scored what they did. Every number traces to a real fact in their record, so you can trust the rank and defend it in the partner meeting.
How a founder gets scored
From profile to ranked shortlist.
Every founder flows the same path: pulled in, read against your thesis, scored on evidence, then ranked. One pipeline turns a messy pile into a shortlist, with no manual sorting.
Profile
Read
Scored
Ranked
Shortlist
Automated opportunity scoring
Surface high-signal founders early.
Live signals matched against your thesis, so the founders worth knowing surface before the round is obvious. Hiring momentum, news, and filings stream in and re-rank the list as they land.
✓ Hiring momentum: 3 senior eng roles opened
✓ Strong technical signal: shipped core infra at scale
Matching signal against thesis
• New investor update detected
Thesis fit rising · re-ranking list…
Founder dossier
The dossier, built from evidence.
Before any meeting, ScoringFactory drafts the founder dossier from their real record: thesis fit, the strongest signals, and the evidence behind each score. Built from facts, not invented. You read and decide instead of starting from a blank doc.
Dossier · Founder
Strong thesis fit (94) and deep technical signal (88): shipped core infrastructure at scale, two prior 0-to-1 builds. Traction rising, three senior eng roles just opened. Full evidence and score breakdown attached…
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Getting started
Bring your pile. Get a ranked list.
No data team. No rip and replace. Bring your deal flow, set your thesis, get a ranked shortlist with the evidence attached.
01
Bring your pile
Drop in your deal flow, a list of founders, or anyone worth backing. A CSV is fine. So is a connected source. No reformatting first.
02
Set your thesis
Write down what a fundable founder looks like to you: stage, market, technical depth, traction, founder type. That is your bar.
03
Calibrate to your thesis
We show you how the score maps to your thesis: the dimensions and weights you care about. Adjust any of it in one click, then re-rank instantly.
04
Work the top
Every founder is scored and ranked, each with the evidence behind the number. Take the meetings that matter and skip the rest.
app.scoringfactory.ai
Now accepting pilot applications
Built for how funds actually source. Pointed at your deal flow.
ScoringFactory is in active pilots with investment teams. Here is where it fits inside a firm. No fabricated quotes, just what the product does for each team.
Deal teams
Source earlier, prioritize faster. Every inbound founder ranked by thesis fit, with the evidence behind the score and a dossier ready before the meeting.
Move on the right founders
before the round is obvious
IR and LP relations
Institutional memory for every LP relationship. A live, scored map of every LP, recency and engagement tracked over time, and re-up risk surfaced through signal decay before a relationship goes quiet.
The knowledge stops living
in one partner's head
Portfolio and platform
Monitor the portfolio and connect companies to the right people. Map your network to portfolio hiring, BD, and expert needs, then rank operating advisors by fit and connection depth.
Connect each company
to the right person, firm-wide
Pricing
From deal flow to a ranked shortlist.
Built for investment teams, not sales pipelines. Every plan scores your deal flow against your thesis, with the evidence. Pick the scope that fits your firm.
Scout
$49
per month
For angels and solo investors running their own network.
Score your own deal flow against your thesis
1 thesis model, calibrated to what you back
All four score dimensions: fit, strength, warmth, momentum
Evidence behind every score
1 seat. It is just you anyway
Founder dossiers built from evidence
Most firms pick this
Fund
$399
per month
For the firm that runs on relationships across a whole partnership.
Firm-wide graph. Every partner's network, unified in one view
5 thesis models across stages, sectors, and LP relations
5 seats so the whole team scores off the same bar
Prioritized queue. The relationships to move on, sorted to the top
Signal feed and score history, so you catch momentum early
Shared rubric and founder dossiers for the whole team
Platform
Let's talk
custom
For accelerators and multi-fund platforms running at scale.
Unlimited graph scale across every entity you track
Unlimited thesis models across every fund and stage
Unlimited seats, roles, and per-team views
API and CRM hooks. Scores land in your existing systems
Portfolio and platform views: hiring, BD, and advisor matching
A human who tunes the models to how your firm actually operates
Live in two to four weeks. No firm-wide commitment to start, and no annual lock-in. Connects to your existing systems via API.
Stuff you're already wondering
The questions you'd ask before you trust a score.
How is a founder actually scored?
Four dimensions: thesis fit, technical depth, traction, and founder quality. Each is calibrated to your thesis and backed by a real fact in the founder's record. You see why a founder ranks where it does, and when you tune the weights the list re-ranks instantly.
Is this just a CRM with a new coat of paint?
No. CRMs are built for sales teams that log activity. ScoringFactory is built for investment teams that operate on relationships. There is no manual entry. Signals flow in automatically, resolve to real people, and get scored against your thesis. It sits alongside your CRM and connects to your existing systems via API, rather than asking your team to keep a pipeline up to date by hand.
Where does the data come from?
The signals your firm already generates. Emails, CRM, LinkedIn, news, and filings, connected via API. We resolve the same person across a dozen sources under different names into one complete record, then layer in public context like hiring momentum, investor updates, and KPIs. You always see what a score is built from.
How fast can we be live, and how big a commitment is it?
Live in two to four weeks. No data team and no rip and replace. We connect to your existing systems via API and the graph starts forming as signals flow in. There is no firm-wide commitment to start, so you can pilot with one team and expand once it earns its place.
Does this replace my partners' judgment?
No. It surfaces who matters and the path to reach them. Your team still makes the call, builds the conviction, and writes the check. ScoringFactory handles the part no single partner can: holding the whole firm's relationships in one live, scored view so the knowledge no longer lives in one head. You spend judgment on the move, not on figuring out who knows whom.
Can we start small and cancel anytime?
Yes. Start with one team, no firm-wide commitment. No annual lock-in and no "talk to sales to leave" maze. Month to month, cancel from the dashboard whenever you want. We would rather earn the next month than trap you in this one.
Score founders the way you score engineers.
Same engine, same evidence, pointed at your deal flow so you back the right people before everyone else does.
Bring your deal flow, set your thesis, get a ranked shortlist. Cancel anytime.
