Flower Labs, a Hamburg, Germany-based open-source framework for training better AI on distributed data using federated learning, has raised $20 million in Series A funding.
SaaS Investors
The round was led by Felicis, with participation from investors such as First Spark Ventures, Factorial Capital, Beta Works, Y Combinator, Pioneer Fund, and Mozilla Ventures.
The round also saw participation from angel investors, including Hugging Face CEO Clem Delangue and GitHub co-founder Scott Chacon.
Flower Labs Use of Funds
The company will use the funding to boost the widespread adoption of federated and decentralized AI.
About Flower Labs
Flower Labs is an open-source framework for training AI on distributed data using federated learning. Flower Labs aims to simplify federated AI solutions through its open-source framework, with a focus on enhancing privacy and efficiency in model training. The company's FedGPT technology expands AI use cases, attracting Fortune 500 companies like Samsung and Nokia Bell Labs. Flower Labs collaborates with industry leaders and hosts initiatives like the Flower Summer of Reproducibility and the annual Flower AI Summit to drive decentralized AI advancements.
Funding Details
Company: Flower Labs GmbH
Raised: $20.0M
Round: Series A
Funding Month: February 2024
Lead Investors: Felicis
Additional Investors: First Spark Ventures, Factorial Capital, Beta Works, Y Combinator, Pioneer Fund, Mozilla Ventures, Clem Delangue and Scott Chacon
Company Website: https://flower.ai/
Software Category: Federated Learning Framework
Source: https://siliconcanals.com/crowdfunding/flower-labs-secures-18-5m/