Plumerai
www.plumerai.comPlumerai is making deep learning tiny and radically more efficient to enable inference on small, cheap and low-power hardware. Our technology powers camera doorbells, security cameras, smart buildings, and makes it possible to embed intelligent, battery-powered sensors everywhere. Our people detection AI consistently proves to be the most accurate for edge devices while consuming minimal resources. Our inference engine for Arm Cortex-M is the fastest and smallest in the world. Production-worthy embedded AI requires a relentless focus on the full AI stack, from collecting and curating data, to training algorithms, model architectures, inference engines, and hardware optimizations. We have published state-of-the-art research on Binarized Neural Networks at conferences such as NeurIPS and MLSys. Our team is backed by world-class investors with strong backgrounds in deep learning and with track records of founding multi-billion dollar companies. We have offices in London, Amsterdam and Warsaw.
Read morePlumerai is making deep learning tiny and radically more efficient to enable inference on small, cheap and low-power hardware. Our technology powers camera doorbells, security cameras, smart buildings, and makes it possible to embed intelligent, battery-powered sensors everywhere. Our people detection AI consistently proves to be the most accurate for edge devices while consuming minimal resources. Our inference engine for Arm Cortex-M is the fastest and smallest in the world. Production-worthy embedded AI requires a relentless focus on the full AI stack, from collecting and curating data, to training algorithms, model architectures, inference engines, and hardware optimizations. We have published state-of-the-art research on Binarized Neural Networks at conferences such as NeurIPS and MLSys. Our team is backed by world-class investors with strong backgrounds in deep learning and with track records of founding multi-billion dollar companies. We have offices in London, Amsterdam and Warsaw.
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City (Headquarters)
London
Industry
Employees
11-50
Founded
2017
Social
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Chief Technology Officer
Email ****** @****.comPhone (***) ****-****Deep Learning Scientist
Email ****** @****.comPhone (***) ****-****Machine Learning Software Engineer
Email ****** @****.comPhone (***) ****-****Deep Learning Scientist
Email ****** @****.comPhone (***) ****-****
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