Inference
Clinical inputs are normalized, sent to the deployed Hugging Face diagnostic model, scored, and stored with CIRE safety signals.
A tenant-scoped clinical intelligence platform for veterinary teams that need auditable inference, measurable calibration, and simple operational feedback loops.
VetIOS is a clinical intelligence layer for veterinary diagnostics. It receives structured case data, calls the primary Hugging Face model, records the result, and keeps later outcomes and simulations connected to the original inference event.
Clinical inputs are normalized, sent to the deployed Hugging Face diagnostic model, scored, and stored with CIRE safety signals.
Confirmed labels are linked back to inference events, producing calibration deltas that improve future confidence estimates.
Synthetic case variants pressure-test the same inference path and report stability across confidence and safety states.
Each resolved outcome writes a calibration delta. The next inference for the same tenant can read that per-label adjustment, nudging confidence without retraining weights or adding a new ML subsystem.