Flower Labs Secures $20M Series A to Advance Federated and Decentralized AI Technologies
Flower Labs is at the forefront of federated and decentralized machine learning, offering tools that enable organizations like Banking Circle, Nokia, Samsung, Porsche, and Brave to enhance their AI models with data spread across different locations.
Company Name: Flower Labs
Location: San Francisco, CA
Sector: AI and Open-Source Development
Funding Details: Raised $20M in Series A funding, led by Felicis, with contributions from First Spark Ventures, Factorial Capital, Beta Works, Y Combinator, Pioneer Fund, Mozilla Ventures, and notable angels including Hugging Face CEO Clem Delangue and GitHub co-founder Scott Chacon.
Purpose of Investment: To enhance the development of a platform that complements their open-source framework, aiming to further streamline federated AI solutions.
Leadership: CEO Daniel J. Beutel, COO Taner Topal, and CSO Nicholas D. Lane
Product: Flower provides an open-source framework, ecosystem, and community dedicated to advancing AI through federated learning and decentralized technologies. It enables the training and utilization of AI on distributed data, fostering innovation in handling sensitive information across diverse sectors.
About Company: Flower Labs is at the forefront of federated and decentralized machine learning, offering tools that enable organizations like Banking Circle, Nokia, Samsung, Porsche, and Brave to enhance their AI models with data spread across different locations. Its commitment to open-source development has garnered a robust community of over 3000 developers and collaboration with top research institutions worldwide.