Real-time behavioral monitoring for language models. Proprioceptive AI gives your models self-awareness — detecting drift, hedging, and hallucination before they reach the output.
Lightweight neural probes attach to any model's hidden states during inference. No fine-tuning. No weight changes. Works on frozen models.
Probes read behavioral patterns — hedging, hallucination risk, sycophancy, shallow reasoning — before they reach the generated token.
The model receives behavioral feedback at decode time. Enhancement signals boost good reasoning. Suppression signals correct drift.
No proprietary architecture lock-in. Train once, deploy everywhere.
Every major AI lab is trying to make models safer. None of them can see what the model is actually doing inside. Proprioceptive AI changes that — giving AI systems the self-awareness they were always missing.