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Lowest cost, lowest power, lowest compute solution available all in a tiny package.
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Our stand-alone modules only need power. No other setup required.
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Works without an internet connection. Safe, private and secure out of the box.
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In 2011 Pete co-founded Jetpac, which was sold to Google in 2014. At Google, he led the development of the TensorFlow Lite machine learning framework for mobile and embedded applications. He is a leading thinking, innovator and entrepreneur in Visual AI, software and big data. He is the author of 3 O'reilly books, and currently enrolled in a PhD program at Stanford University.
Manjunath has a diverse background in technology, having worked on CUDA at NVIDIA, been part of the founding team of TensorFlow at Google, and led the compiler team at Cerebras. His expertise lies in end-to-end training and optimization of models in language, vision, and audio. He focuses on making these models efficient for resource-constrained platforms.
I did a PhD at University of Salford (UK) on control systems for acoustics including programming an online learning neural net in assembly language on a DSP in 1992! I’ve worked at Nokia, Apple and Google in different executive roles for over 25 years: spanning product and technology engineering and management, technology marketing and product management. I’ve lived in Finland, France, Singapore and now California, USA. I’m focused on hands-on engineering at Useful Sensors and very excited to be part of this great startup team.
Evan is wrapping up his PhD from UT Austin where he focuses on the intersection of software engineering, applied research and human life. His experience has touched on software R&D for next-generation satellite systems, for electric vehicles, and for privacy-preserving AI/ML-enabled consumer devices.
After taking Pete’s embedded ML class at Stanford, James joined Useful Sensors as the lead hardware engineer. He specializes in mechatronics, electronics design, prototyping, and making spreadsheets for everything. When he’s not working for Useful, James likes to ride motorcycle and fly airplanes.
Nat Jeffries graduated from Carnegie Mellon University in 2016 with an undergraduate and masters degree in ECE. He was a founding member of the Tensorflow Lite for Microcontrollers team at Google, and has spoken at Tensorflow World in Sao Paulo Brazil, MLSys 2023, and guest lectured on TinyML at Harvard.
Laura received her BA in intensive psychology from UC Santa Cruz. Soon after, she spent a number of years working with dogs before getting into office management and operations for tech startups. She loves learning new things, improving old things, and working on a diverse set a problems.
Terry is the CRO of Useful Sensors responsible for sales, marketing, and business development. Prior to joining Useful in August of 2023, Terry led sales teams at high tech startups and Fortune 100 companies delivering as much as 9-figure single-year revenue growth. Earlier in his career Terry served in various engineering roles helping to design and deliver to market dozens of name-brand products in the consumer, compute, communications, transportation, and medical markets. Terry holds a BSEE from Penn State University with post graduate work in RF engineering at the University of Massachusetts.
DEC
"TinyML" first coined by Pete Warden with the release of his book
FEB
Useful Sensors Incorporated
MAY
5M seed round with lead investor Amplify
OCT
Person Sensor V1.0 released
JAN
Gesture Sensor Demoed at CES
AUG
Tiny Code Reader released
AUG
Open-source Useful Transformers model on Github
FEB
AI in a Box released showcasing offline transcription, translation and LLM Chat
MAR
3M Seed Extension with lead investor Ascend Vietnam Ventures
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