Reality AI offers Enterprise software for embedded machine learning using sensors. Analyze complex sensor data, and automatically generate software that runs in real-time, in firmware, on inexpensive, commodity processors. Use accelerometers, vibrations, sound, electrical signals or any other sensor to make your machines smarter. Reality Analytics, Inc. (Reality AI) was founded by Jeff Sieracki and Stuart Feffer in 2015 to make software that helps R&D engineers develop products using sensors. Reality AI uses proprietary algorithms for optimized feature discovery and model generation, component selection and specification setting, BoM optimization, and data collection / synthetic augmentation/curation. Use cases include sound recognition, gesture recognition, and predictive maintenance using vibration, accelerometer, sound, radar, current/voltage/capacitance, and other sensor modalities. Customers in the automotive, industrial, and consumer/commercial products sectors. Reality AI has 14 US patents and 6 more pending, all in the areas of feature discovery and machine learning as applied to sensor and signal problems.