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AI Modelling
Models that run on the edge, validated like products.
On-edge inference, 3D point-cloud annotation and MLOps validation across every domain we serve, the modelling discipline behind our edge and offline AI.
What we build
On-edge inference
Models optimized to run on the device, offline, within latency and power budgets.
3D annotation
Point-cloud annotation and review, Three.js, KITTI/Velodyne, Datumaro.
MLOps validation
CVAT → TensorFlow → OpenVINO IR with CI/Git-triggered validation reports.
Anomaly & predictive
Failure and drift detection on operational telemetry.
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