AI inference at the machine.
Not in a server room.

Predictive maintenance, visual quality inspection, gauge reading, and safety zone monitoring — running on factory-floor edge hardware, not in a data center. Deployable in air-gapped facilities. Decisions made in milliseconds, where the data is generated.

Four things your factory can do today.

Detect anomalies before they cause downtime.

Monitor equipment, sensors, and production systems continuously using anomaly detection models running at the edge. Identify unusual patterns in machine behavior, process data, or inspection data before they escalate into costly failures. Operational data remains local, while only alerts and insights are shared with maintenance and OT systems.

Detect defects at production-line speed.

Deploy object detection and visual inspection models to identify surface defects, missing components, assembly issues, packaging errors, and product inconsistencies in real time. Lightweight vision models run directly on inspection cameras, enabling low-latency inference without transferring images to the cloud.

Turn visual readings into actionable data.

Capture information from gauges, meters, displays, labels, and industrial instrumentation using OCR and computer vision models. Convert visual readings into structured digital outputs with confidence scoring, reducing manual inspections and enabling automated monitoring workflows.

Detect safety risks before incidents occur.

Use person detection and proximity monitoring models to identify entry into restricted areas, hazardous zones, machine perimeters, and automated work cells. Events are processed locally for rapid alerts and safety responses without relying on cloud connectivity.

Air-gap compatible. Production data stays on the floor.

Industrial environments need more than privacy — they need isolation. Every ModelNova industrial capability is architected for facilities that aren’t connected to the internet at all, and for production data that should never leave the plant.

Air-gap deployable

Models run on edge hardware without internet connectivity. Updates can be sideloaded. Suitable for facilities that maintain strict OT network isolation by policy.

Production data stays in-plant

Sensor data, defect images, gauge readings, and video frames never leave the device. Only inference outputs — alerts, classifications, counts — travel to your existing OT systems.

Deterministic latency

Local inference means safety, quality, and maintenance decisions happen in milliseconds, not seconds. Meets the latency requirements that cloud-based systems cannot.

Compatible with IT/OT segregation policies, industrial security standards (ISA/IEC 62443), and air-gapped facility requirements.

What this looks like in production.

A representative deployment, based on the silicon and models we ship today.

A heavy-machinery plant deploys vibration-based predictive maintenance across 80 rotating-machinery assets — pumps, compressors, gearboxes, motors. Anomalies are detected and triaged on sensor-attached edge devices before the raw data ever leaves the floor. The maintenance team moves from calendar-based service to condition-based: unplanned downtime drops 35-45%, total maintenance hours fall 25-30%. The plant’s IT network sees only structured alert payloads. The OT network sees nothing it didn’t already see.

Total production data leaving the floor: inference outputs only.

Go deeper.

Custom Model Development

Defect classes specific to your products. Equipment profiles unique to your assets. Bespoke industrial models built for your hardware, your data, and your environment.

ModelNova Zoo

Browse the actual catalog. Filter by industrial task, target silicon, or model type — every model in the Zoo is free to evaluate.

Hardware Compatibility

Which industrial-grade silicon we’ve validated, what frameworks we support, and which targets are production-ready.

Scope your deployment

Tell us about your building. We’ll come back within two business days with an architecture sketch and a deployment cost range.

AI inference at the machine. Not in a server room.