Inspection—Under 20 ms
AI defect detection on the factory floor, in real time, with decisions in under 20 ms.

Decisions stay fast and your data stays yours: the compute stands on the factory floor, next to the line it watches.

AI defect detection on the factory floor, in real time, with decisions in under 20 ms.
Anomaly detection at the edge finds equipment issues before they become failures: less downtime, longer asset life.
Processing in controlled edge locations, with no Big Tech dependency for your operational intelligence.
One orchestration for models across plants, for supply chain intelligence that spans the whole operation.
Enterprise-grade reliability: 24/7 monitoring from a team that runs distributed systems at extreme scale every day.
Compute-centric pricing, so data-heavy vision models don’t blow up the bill.
Sending factory data to the cloud takes 100–500 ms. On a moving line, the part is past the station before the answer comes back.
An illustration of a line making four parts a second, the reject arm one part past the camera: our verdicts under 20 ms, the cloud’s anywhere in its 100–500 ms. It starts four times slower than life; the switch sets the speed.
Sovereign processing at the edge, not in a public cloud.
On your floorPublic cloud
Sending factory data to the cloud means 100–500 ms of latency, egress fees and your operational intelligence on someone else’s servers. At the edge, decisions stay fast and data stays yours.
Sensitive manufacturing data processed in controlled edge locations, with no Big Tech dependency.
Under 20 ms for inspection and control on production lines.
Distributed compute for supply chain AI across many facilities, under one orchestration.
Quality control and anomaly detection at the edge, watched around the clock by a team that runs distributed systems every day.
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