Capability
Edge AI & Predictive Maintenance
Machines that warn you before they break.
We put machine learning where the product lives — on the device. Edge AI models run inference directly on MCU and MPU-class hardware, while fleet telemetry trains predictive maintenance models that flag drift, wear and anomalies weeks before a breakdown. Less downtime, fewer emergency service calls, and products that get smarter with every unit shipped.
What We Do
Inside the discipline
On-Device Inference
Quantized ML models running on the edge — anomaly detection, signal classification and sensor fusion without a cloud round-trip.
Predictive Maintenance Models
Fleet telemetry turned into remaining-useful-life estimates, drift detection and service schedules — maintenance planned, not reactive.
Fleet Health Scoring
Every deployed unit scored continuously; outliers and degrading units surface automatically before customers notice.
Edge-to-Cloud Learning
Models trained on fleet-wide data, distilled and pushed back to devices over the same OTA pipeline as firmware.
Deliverables
What you take away
Every engagement closes with tangible, ownable engineering output — not just a report.
- ✓Edge model packaged for target MCU/MPU
- ✓Predictive maintenance dashboard
- ✓Anomaly detection & alerting rules
- ✓OTA model update pipeline