“We already use LLMs”
Everyone at the table has a chatbot. Professionals count cards.
Ask a ChatGPT wrapper twice, get two answers. Ask Patomy, get the same answer with its source, every time.
| Your vibe-coded tool | Patomy | |
|---|---|---|
| Same deck, same answer | Changes every time you ask | |
| Method | A clever prompt | |
| Evidence | A confident summary | |
| Memory | No institutional memory | |
| Your data | Sent to public model | |
| The legwork | Your prompt, copy, paste |
Automated scouting
We see the cards before they’re dealt.
Patomy picks up newly incorporated startups and emerging signals as they appear, screens each one against your mandate and puts the ones worth a first call on top.
Newly registered · Maastricht
Medtech · Fits your mandate
- Newly incorporated
- Fits your mandate
What each card solves
You have played these hands before.
01 · Decision layer
Your rules live in people’s heads, so every analyst applies them differently.
Completeness and compliance checks are deterministic: your fund’s rules, applied the same way to every case, with the evidence for each finding in view.
02 · Auditability
The board asked why you passed, and the answer was in an old inbox.
Every finding links to its source and every override is logged with a reason. Any decision can be replayed exactly as it was made.
Security & control
Your data stays your fund's
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Never used for training
Your documents never train models or inform another fund.
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Human in control
No automatic approvals or rejections.
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Separated per organisation
Each fund's data and rules are kept apart.





