Deal sourcing, scored to your thesis

Your thesis in.
A ranked pipeline out.

Tell us what you invest in. We source African startups, screen out the noise, and AI-score every applicant against your own rubric — so your team reviews a shortlist, not an inbox.

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Trusted by leading African investors

Deal flow is loud. Signal is rare.

📥

Too many decks

Hundreds of intros and cold inbounds, most off-thesis. Screening eats analyst time before the real work begins.

🎯

Hard to compare

Every founder pitches differently. Without a consistent rubric, ranking deals is gut-feel, not evidence.

Slow to shortlist

By the time a promising company surfaces, the round may be closing. Speed to a qualified shortlist matters.

How it works

1

You share your thesis

Stage, sectors, ticket size, geography — and the archetypes of company you want to back.

2

We build the application

We turn your thesis into a founder application and a readiness screen, so only relevant companies apply.

3

Founders apply & get scored

Each submission is AI-scored against your rubric — archetype fit, traction, team — with a fit score and rationale.

4

You review a ranked pipeline

Log in to your dashboard: ranked startups, fit scores, decks, founder contacts, CSV export.

What you log in to

A live, ranked board of startups scored against your criteria — curated by our team before it reaches you.

YOUR FUND — DEAL PIPELINE
Scored Startups
24
evaluated
ReconcileAI Archetype C 88fit score

Strong reconciliation traction with two enterprise customers; experienced ex-treasury founding team.

MRR $38kValuation $4.2MRunway 22 mo
LedgerSync Archetype C 82fit score

Request a demo

Tell us your thesis. We'll show you what a scored pipeline looks like for your fund.