Start using all your data
Machine Learning at the very edge will enable valuable use of the 99% of sensor data that is discarded today due to cost, bandwidth or power constraints.
Detect complex events that rule based systems cannot easily detect.
Lower power consumption by only sending when it matters.
Faster, more efficient and scalable by processing data directly at the sensor interface.
For any device
Models can be deployed anywhere, from Cortex-M microcontrollers to edge gateways.
Full tinyML pipeline
Our online tinyML lifecycle solution transforms developers’ abilities to deploy ML for embedded devices.
High-quality labeled data is critical for ML analysis. We provide tools and guidance for correct data collection straight from your devices.
Build a model
Combine signal processing, neural networks and anomaly detection to understand the real world.
Deploy and monitor
Deploy models as part of your firmware, monitor model performance in the field, and push updates to devices when you gain more knowledge.
- Predictive maintenance
- Process and logistical optimization
- Remote asset management
- Asset tracking and utilization analysis
- Facility usage optimization
- Metering and infrastructure monitoring
- Health monitoring
- Worker safety monitoring
- Occupancy and foot traffic analytics
From developers, for developers. Founded in 2019 by Zach Shelby and Jan Jongboom, we are on a mission to enable developers to create the next generation of intelligent devices. We believe that machine learning can enable positive change in society, and we are dedicated to support applications for good.