Edge AI & connected devices
Vehicles, wearables and machines generate signals long before anyone opens a dashboard. We build the pipeline from device to model to alert, including models small enough to run on the device itself.
The problem
Machines, vehicles and wearables produce warning signs long before anyone opens a dashboard — and by then it is often too late to act.
How it works
Four stages, end to end
- 01
Capture
Sensor data collected reliably from the device, even over poor connectivity.
- 02
Infer at the edge
Small models detect anomalies on the device or a nearby gateway.
- 03
Sync
Events and summaries flow to the cloud for history and analytics.
- 04
Alert
The right person gets a clear alert, with the context to act on it.
Where it is used
- 01Predictive fault detection for vehicles and machines
- 02Remote monitoring with wearable devices
- 03Condition monitoring on factory equipment
- 04Connected products with companion apps
What you get
- Device-to-cloud data pipeline
- On-device or gateway models
- Alerting and dashboards
- Integration with your existing systems
Also included
- Sensor data pipelines from device to cloud
- Lightweight models for on-device inference
- Alerts and dashboards for the people who act on them
- Embedded and cloud software built as one system
Bring us thetwo-day process.
In one call we'll tell you whether AI can do it reliably, how we would test that, and what a first version would take. No slideware.