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Industry

AI for automotive.

We engineer production-grade vision, prediction and automation for how vehicles are built, tracked and serviced — the same AI systems Nexariza ships, shaped to the tolerances and throughput of the automotive line.

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Zero-defect expectations at line speed

Automotive runs on tight margins and unforgiving quality standards, yet inspection still leans on human eyes that fatigue and miss hairline defects moving past at line speed. A single escaped fault can trigger warranty costs or a recall, unplanned equipment downtime stalls the whole line, and end-to-end part traceability is mandatory but painful to maintain by hand.

What we build

In-line visual quality inspection
Computer-vision models catch surface defects, paint flaws, weld quality and panel-gap issues in real time on the line, flagging faults consistently instead of relying on spot checks and tired inspectors.
Predictive maintenance for plant and fleet
Models learn the normal signatures of machines and vehicles from sensor and telematics data, forecasting failures before they happen so maintenance is scheduled — not scrambled after a breakdown stops production.
VIN, part and label traceability
OCR reads stamped VINs, printed part numbers and labels across stations, building an automated, end-to-end traceability trail that stands up to audits and shrinks recall scope when an issue is found.
Edge vision for fleet and driver-assist
Multi-object tracking runs on embedded, on-device hardware to monitor fleet cameras and assist scenarios in real time — no cloud round-trip, working reliably where connectivity is unreliable.