Responsible AI

AI that shows its working

AI is the engine of this platform, which is exactly why it needs rules. These are ours.

Humans decide

The platform informs. It never decides. No capital decision, introduction or disclosure happens without a person choosing it.

Explainable outputs

Scores, matches and signals are designed to carry their reasoning with them. If we cannot explain an output, we do not show it.

Honest uncertainty

Where the platform is uncertain, it is designed to say so. Confidence is communicated, never performed.

Bias under review

Matching models will be evaluated for unfair patterns across sectors, geographies and founder profiles, with findings acted on.

Data with provenance

Models are only as honest as their inputs. Every data point is designed to carry its source, and questionable sources are excluded.

No advice, ever

Nothing the AI produces is investment advice. The platform draws a hard line between intelligence and recommendation, and keeps it.

The measure of responsible AI in capital markets is simple: could you defend the output, line by line, in front of an investment committee?
Capital Genome design principle

Hold us to this

These commitments are public so they can be tested. Challenge them whenever you like.

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