Silicon Psyche Labs

About Silicon Psyche Labs

Silicon Psyche Labs builds behavioural telemetry for language models — instrumentation that measures how a model's output behaves rather than what it says, and does it entirely from the outside with no access to weights, logits or training data. The premise is that most model failures do not announce themselves in the input; they show up as drift in posture, creeping sycophancy, or a rising hallucination risk that no single response makes obvious. The platform runs 13 behavioural classifiers covering 116 behavioural classes and 38 deterministic metrics across five languages, and maps 100 CPF indicators. For developers, integration is one API call made after your model returns its response, which comes back with deterministic behavioural scores; the company puts first report at about five minutes from signup. For trust and safety teams there is a second use case: detecting when a conversation itself turns risky — suicidality, dissociation, crisis states — and when the model is under adversarial pressure from prompt injection, jailbreaking or manipulation, with real-time alerting. The scoring is deliberately deterministic and rule-named rather than model-judged, which means an audit can reconstruct why a score came out the way it did. For compliance the retention model is the selling point: only posture sequences are stored, no raw text, so GDPR erasure is a single row. A free browser tool runs without an account for anyone who wants to test the classifiers before integrating.

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