Fast-track your
deck screening, due diligence, market research, deal flow.
800+ pitch decks
The training set behind the model
Custom-trained AI
Matches real VC calls 83% of the time →
Every claim sourced
Tagged deck, web, or inference
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| A | B | C | D | DE | |
|---|---|---|---|---|---|
| Company | Team | Market | Notes | Verdict | |
| 1 | 4 | 3 | Invest | ||
| 2 | 2 | 4 | Pass | ||
| 3 | 5 | 5 | Invest | ||
| 4 | 3 | 2 | Pass | ||
| 5 | 4 | 4 | Invest | ||
| 6 | 2 | 3 | Pass | ||
| 7 | 3 | 4 | Pass | ||
| 8 | 5 | 4 | Invest |
Trained on proprietary data.
A year of weekly partner meetings and deal reviews at Plug and Play Tech Center. Every deck I read ended in a real invest-or-pass call. That record, not a public dataset, is what the model learned from.
- 83%
- Same call as me
On meetings the model never saw while learning. - 765
- Real invest-or-pass calls
Each one a real decision. Nothing scraped. - 7
- Signals scored per deck
The model's whole input. Nothing else reaches it.
Improve your funding odds in 30 seconds.
VC firms run an investment system to evaluate hundreds of startups every week. Prepare your pitch against that same system, drawn from my rubric from real deal reviews.
- What do investors actually look for?
- What makes a deck more fundable?
- What reads as an immediate red flag?
What's working
Leads with revenue, not signupsTraction
Real numbers in the first third of the deck. Keep this slide where it is.
Your pitch deck
GTM is a claim, not a planGo-to-market
Channels are named, but nothing says who you sell to first or how you reach them.
Internet visibility
- Both founders discoverable on LinkedIn, backgrounds match the deck.
- No press, no funding on record. An investor reads that silence.
Shortcomings
No competitive landscapeCompetition
An investor will assume you haven't looked. Name the real players and your axis.
See it in action!
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- Private to you
- One PDF, that's it