Each project starts with the sensing problem. We then shape the device, the app, and the model around it so the whole system works together.
Custom hardware
Sensors, cameras, and microcontrollers selected and assembled for performance at the edge.
Connected software
Mobile apps that communicate over Wi-Fi or Bluetooth to visualize readings and trigger alerts.
Edge machine learning
Models trained and deployed for edge devices, mobile platforms, cloud, or on-premise environments.
Our approach
Built around where the device operates
Some systems need to work at the edge; others also need a mobile app or a cloud connection. We start from the actual conditions and the readings that matter, then choose the hardware and model to fit.
A useful reading is one you can act on. Edge processing keeps decisions fast and dependable, while connected software turns sensor data into clear visuals, timely alerts, and decision support.
Specialized projects
Three applications, three deployment contexts
Explore how our edge devices are applied to atmospheric and ground sensing, veterinary skin inspection, and real-time mobility support.
Grasshopper
A device for collecting atmospheric and ground data, including soil moisture, humidity, dryness, and temperature.