Application areas
Recruiting
Matching people and roles on explicit, auditable criteria rather than opaque historical patterns.
The challenge
Matching models trained on past hiring decisions reproduce past hiring bias, and they are hard to defend when a candidate — or a regulator — asks why a profile was ranked low. Keyword matching, the usual fallback, misses everything that is not spelled the same way.
Our approach
Requirements and profiles are modelled as structured criteria with declared weights. Genetic AI evolves the fit between the two sides, so the weighting reflects what the role genuinely needs — and any attribute you must not use can simply be left out of the model.
Try Genetic AI on your own data
With DarwinNGC you can already upload your own data and run Genetic AI on it. Ready to try it for yourself? - or get in touch directly.