From pilot to production line.

Computer vision and predictive models on the factory floor. Reliable production inference without cloud dependency or hardware changes.

[ The Constraint ]

Pilots work. Production does not.

The proof of concept worked in the lab. On the floor, latency was too high, connectivity unreliable, and IT refused to open a port from OT to the internet.

Manufacturing runs at line speed. If the model cannot keep up with the conveyor, it is useless. If it crashes, the line stops. These workloads run locally or not at all.

[ Use Cases ]

Models that run at line speed.

Fig 1.1

Visual quality inspection

Defect classification at line speed. Sub-100ms. No frames leave the plant. Reject before the part reaches the next station.

Fig 1.2

Predictive maintenance

Vibration, acoustic, and thermal models predicting bearing failure and seal wear. Alert before unplanned stops.

Fig 1.3

Process optimisation

Optimise temperature, pressure, and throughput in real time. Natural-language recommendations alongside raw telemetry.

Fig 1.4

Worker safety

PPE detection and exclusion zone monitoring on existing CCTV. On-prem only. Full privacy compliance.

[ Pilot to Production ]

What makes models stay running.

No crash, no OOM

Memory orchestration prevents out-of-memory kills. Graceful degradation under load. The inference process never takes down the host operating system or adjacent services.

One platform, many lines

Same Runtime on every edge device across every production line. Hub manages them all. Roll out model updates to one line, validate, promote to the rest. No per-device SSH.

Works on what you have

Jetson, L4, consumer GPU, CPU-only. The platform picks the right engine for the hardware. No procurement cycle for new accelerators.

[ Forward-Deployed ]

Install. Benchmark. Hand over.

Our engineers deploy against your actual production environment. Not a demo. Not a sandbox. Your cameras, your sensors, your line speed. Benchmarked and validated before handover.

Fig 2.1

Site assessment

Audit edge compute, cameras, and OT integration. Plan signed off before install.

Fig 2.2

Deploy and validate

Models benchmarked at line speed. Latency validated. Scorecard delivered.

Fig 2.3

Scale across lines

One line validated. Roll to the rest via Hub. Staged rollouts with automatic rollback.

Ready for your factory floor.

Tell us your hardware, your models, and your line speed. We will show you what runs in production.