Making small machines intelligent by enabling them to use the power of deep learning locally and in real-time
Plumerai is making deep learning tiny and computationally radically more efficient to enable real-time inference on the edge – for automated warehouses, retail, smart cameras, mobility and many more. They are able to unlock huge value for all these applications on the edge by using the most efficient form of deep learning – Binarized Neural Networks (BNNs).
Their technology enables devices to use deep learning on cheap, low-power chips. This young and fast growing field is called TinyML. They deploy software on existing microcontrollers, but also design custom hardware accelerators to create the most powerful and efficient platform for our BNN algorithms. Their team is based in London, Amsterdam and Warsaw and are backed by world-class investors with strong backgrounds in deep learning and with track records of founding multi-billion dollar chip and hardware companies.