Real-time AI, right on your device.
We work with you to find the right sensor and chip, gather real-world data and fit the model to your hardware, so your device makes decisions on its own without waiting on the cloud or draining the battery.
Great model. Wrong kilobytes.
Edge AI projects stall in the gap between the data scientist’s laptop and the microcontroller. The model has to fit in a few hundred kilobytes, run on a coin cell and read from a real, noisy sensor.
Most teams have the machine-learning skills or the embedded skills. We bring both, plus the hardware engineers to build the device it runs on.
SEE IT WORK
A person, found by a microcontroller.
Our person-detection model runs on a low-power microcontroller and a small camera, with no cloud and no images leaving the device. Only the result is sent: someone is there, or not.
- Model size
- XX KB
- Inference
- XX ms
- Power
- XX mW
From raw signal to smart decision, on the device.
The right hardware for your model
The right sensor, microcontroller and accelerator for your model, your battery and your bill of materials.
Data from the real world
Instrumented prototypes and logging firmware that collect training data where your product will live.
Models that fit
Quantized and memory-planned to run within your flash, RAM and latency budget.
Months on a battery
Wake-on-event and duty cycling, so the radio only switches on when there’s something worth saying.
Smarter after launch
Ship better models over the air as you learn from the field.
Private by design
Raw audio and health data stay on the device. Only the result leaves, encrypted.
Idea to intelligent device in four steps.
1
Feasibility
What should it detect, how accurately, on what power budget? We tell you if it’s doable before you spend on it.
2
Prototype and collect
Working hardware gathering real data.
3
Train and fit
Model trained, compressed and running on the target with NoxML.
4
Ship and improve
Production firmware, certification and model updates in the field.
Advanced technology we build ourselves.
Devices that notice what matters.
Hear the failure before it happens
Predictive maintenance from vibration and sound.
Wearables that understand movement
Activity and event detection with results sent over Bluetooth.
Listening without eavesdropping
Glass-break, alarm or keyword detection with audio that never leaves the room.
Make your device the smartest one in the room.
Tell us the sensor, the chip and what you want it to detect.
