Explainable AI
At the Edge
Use Reality AI Tools® to create your own custom solution using any sensor or signal source.
Works with accelerometer, vibration, sound, current/voltage, radio frequency, and other complex sensor inputs.
Reality AI Detects
Sound Events
Detect the sound of glass breaking and many other households or commercial sounds. Run it on a Cortex M4, M7 or smartphone, with room to spare.
Reality AI Predicts
Failures
Monitor conditions, predict remaining useful life, and detect anomalies.
Run it on a Cortex M4/M7 edge node or gateway with room to spare.
Reality AI Hears
Road Sounds
Detect and localize the sound of sirens and other road users, or Identify the sound of wet, sandy or gravelly pavement.
Run it locally on an inexpensive Cortex M4 edge node on the vehicle.
Fully Explainable Edge AI inference that manages constraints
100x
Faster
1,250x
Less Power Required
600x
Cheaper
compared to similar solutions using deep learning
Real-time embedded code on inexpensive hardware
Our approach to machine learning makes AI-based products possible in constrained environments.
By delivering the most compact, computationally efficient software possible, you can deploy AI in products with limited size, weight, power consumption, and price.
Watch our new AI demo video
Harness the power of Reality AI Tools
Curate your data
Reality AI software will inspect your data and tell you when its ready for machine learning. If you need help with collection or labeling, we have solutions for that too.
Build your detector - automatically
Reality AI software will use your data to create an optimized machine learning model, suitable for either cloud or embedded use. Requires no machine learning or signal processing expertise.
AI embedded at the Edge on any sensor,
alone or combined for sensor fusion
Accelerometer
Vibration
Biometric
Temperature
Sound
Electrical
Proprietary Sensors
Pressure
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