Built for
Predictive maintenance
IoT and embedded OEM
Wearables
Standalone security
TinyML integrators
Embedded machine learning
Intelligence where the signal begins.
Train compact neural networks for sound, vibration, motion and temperature. Run classification locally on embedded devices.
From data to device
01
Prepare labeled features
02
Train and evaluate
03
Quantize and export
04
Integrate on device
Your deployment, your environment
A separate self-hosted edition is available for customer environments. The public demo illustrates the workflow using prepared examples.