Flower Labs, a San Francisco, California-based company has raised $20M in its Series A round. The company was valued at $100M in this round.
Flower Labs offers an open-source platform, infrastructure, and community for training that would hasten the federated and decentralized AI’s widespread adoption.
Felicis led the funding round, which also included angel investors including GitHub co-founder Scott Chacon and Hugging Face CEO Clem Delangue, as well as First Spark Ventures, Factorial Capital, Beta Works, Y Combinator, Pioneer Fund, and Mozilla Ventures.
The money will be used by the company to develop a platform that will enhance the open-source framework’s functionality and make federated AI solutions even more straightforward.
Flower is an open-source framework, environment, and community for federated learning and related decentralized technologies for training and using artificial intelligence (AI) on distributed data.
Founded by CEO Daniel J. Beutel, it is used by firms such as Brave, Nokia, Samsung, Porsche, Banking Circle, and Samsung to enhance their AI models using private data that is dispersed between user devices and organizational silos.
Flower is the leading platform for developments in the field of federated and decentralized machine learning, thanks to its strong collaboration with a community of over 3000 open-source developers.
