Most inference systems are static by default — uniform compute, manual updates, no safety net.
The Intelligent Inference Stack closes that loop: adaptive at the token level, governed at the deployment level.
the system architecture
BICA-002 · Sidecar Activation Prediction
A compact sidecar model runs in parallel with every inference pass, predicting internal activations layer by layer. Where predictions match reality, compute is reduced by up to 10×. Where they diverge, full resources engage. Intelligence allocated exactly where the work is.
BICA-003 · Closed-Loop Deployment Optimization
Every optimization earns its place through a formal sequence — telemetry, validation, canary deployment, fleet rollout, and automated rollback if quality drifts. Continuous improvement without continuous risk. The system gets better on its own, safely.