Plumerai is making deep learning tiny and accurate. We make it easy for developers to add highly accurate AI to their embedded products and thereby enable them to create amazing new products. This is how we work towards a future with 100s of billions of intelligent sensors on the edge. Today, large customers deploy our People Detection, Familiar Face Identification, and ML inference engine software on their devices in the field. We will soon be offering many more libraries that enable our customers to use the most advanced AI inside their products. Making it possible to deploy AI on hardware that is cheap and low-power is the most effective way towards a future where AI helps all of us, without making any compromises on privacy.
We build the most accurate and efficient AI solutions by vertically integrating all layers of the stack. From data collection and curation, custom training software, model architectures, pre- and postprocessing, and all the way down to the fastest inference engines. If you want to learn more, have a look at some of our talks, our open-source deep learning library Larq and our published research (NeurIPS, MLSys, MLPerf).
Our team is based in London and Amsterdam and we are backed by world-class investors including Tony Fadell (creator of iPod, iPhone, founder of Nest), Hermann Hauser (founder of Arm) and Zoubin Ghahramani (University of Cambridge, Google DeepMind).
Learn more about Plumerai at https://plumerai.com/.