POAM-mini-instruct
Operator-friendly instruction tuning
Instruction-aligned variant tuned for technician workflows, explaining anomalies and next steps in clear, concise language.
Parameters
650M
Deployment
Edge + regional cloud
Latency target
<60ms target latency
Overview
POAM-mini-instruct is built for predictive maintenance teams that need adaptive learning without sacrificing reliability. The model stays calibrated with daily online refresh so alerts stay relevant as operating conditions shift.
Best for
Mobile maintenance crews
Guided troubleshooting
Multi-sensor edge stacks
Capability 1
Natural-language diagnostics
Built for high-frequency telemetry, stable drift detection, and clear operator action.
Capability 2
Contextual maintenance playbooks
Built for high-frequency telemetry, stable drift detection, and clear operator action.
Capability 3
Edge + cloud fallback routing
Built for high-frequency telemetry, stable drift detection, and clear operator action.
Implementation notes
We size POAM-mini-instruct to your asset mix and telemetry density, then validate the model in simulation before deploying to production. Deployment bundles include monitoring dashboards, alert routing, and retraining workflows tuned to your maintenance cadence.