Put the intelligence where the signal is. We apply pattern analysis, machine learning and computer vision close to sensors, cameras and machines, validated with the engineers who know the process.
Signal-pattern analysis and deviation detection on sensor data
Machine-health and anomaly detection from vibration and current
Computer-vision inspection and counting at the line
Object detection and classification from camera feeds
Model selection and validation with domain engineers
Edge-to-backend data paths with human oversight
Status. engineering capability. Edge AI examples on this site are designed systems, proposed solutions or capability examples; no production deployment is claimed and figures from source material are not republished.
How we work
How edge intelligence is put together.
01SignalSensors and cameras produce the raw data.
02FeaturesFilter and extract what matters on the device or gateway.
03ModelRules or machine-learning models, trained on real data.
04DecisionLocal action, alert or hand-off to the backend.
05OversightPeople review exceptions and validate results.
