Edge AI turns raw sensor data into immediate, actionable intelligence at the point where it is generated. SensiML gives product teams the tools, automated workflows, and deployable embedded code needed to build high-accuracy models for a broad range of sensor-based applications—all optimized for the memory, power, and compute constraints of real-world edge devices.
Acoustic Event Detection
Train your IoT devices to identify & respond to sounds with SensiML's acoustic event detection Knowledge Packs.
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Activity Recognition
SensiML Knowledge Packs deliver real-time motion classification for wearables. Our proven models work for humans, animals, and robots.
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Anomaly Detection
Anomalies are rare events, and so identifying when one occurs can be difficult. SensiML’s Knowledge Packs for anomaly detection simplify the task, allowing developers to focus their efforts on taking appropriate action.
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Gesture Recognition
SensiML offers turnkey gesture models, custom gestures, and software tools for gesture recognition. Our models are optimized for low power and small memory footprints.
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Keyword Spotting
SensiML keyword spotting is a highly accurate and low-footprint machine learning technique that can be used to detect specific words or phrases in audio signals, even in noisy environments.
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Vibration Classification
With SensiML's end-to-end solution, you can effortlessly collect, annotate, analyze, and build models from your sensor data, and generate firmware that runs on your target device.
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