Active thesisPre-seed AI infra · global · $100K · 5–8% · high risk
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Pre-seed · AI infrastructure

Diligence at the speed of thought.

VCFounderAI turns your investment thesis into a live scoring loop. Every opportunity is broken into three separate axes — founder, market, idea vs market — with claim-level evidence and citations. No averaged scores. No black boxes.

3 axes
0 averaged scores
100% cited claims
Pipeline · live
v2026.07
Company
F
M
I×M
Fit
Aperture Labs
Inference infra
82
74
88
91
Vectorly
Vector DB
71
80
66
78
Tessera AI
Eval tooling
64
58
72
63
Northbound
GPU orchestration
77
85
70
82
12 claims cited 3 gap flags
01 — Principles

Built the way analysts actually think.

Thesis-first ranking

Your sector focus, stage, geography, and risk appetite drive every score. Change the thesis, the pipeline re-ranks.

Three separate axes

Founder, market, and idea vs market — each with its own reasoning trace. Never blended into a single vanity number.

Every claim cited

Hover any statement in a memo to see source snippets, confidence, and the gaps that still need human judgement.

02 — Workflow

From inbound noise to signed term sheet.

  1. 01
    Ingest

    Inbound applies, GitHub scrapes, HN threads — normalized into a single pipeline.

  2. 02
    Score

    Three axes, cold-start intervals for unknown founders, live thesis alignment.

  3. 03
    Diligence

    Claim-level evidence, trust chips, gap flags where the model is unsure.

  4. 04
    Memo

    Draft IC memos with inline citations. Outreach ready in a click.

Your thesis, running 24/7.

Stop re-reading the same decks. Point VCFounderAI at your pipeline and open the memos that clear your bar.

No averaged scores — ever.