CTGT raised $7.2M for hallucination fixes that skip retraining
When a model misbehaves, the standard options are retraining it or wrapping it in filters. CTGT goes inside instead, finding the internal features that cause hallucinations and censorship and adjusting them while the model runs. Gradient led its $7.2M seed.












