
Flower Labs enables organizations to train and improve AI models on distributed, sensitive data without centralizing it. It does this via an open-source federated learning framework combined with privacy-enhancing technologies and tooling for analytics and model evaluation. The platform is used by enterprises across telecommunications, healthcare, finance, automotive, and personal computing to collaborate on model training while keeping data on-premises or on user devices. Flower Labs is positioned as an open-source B2B framework that integrates with common ML tooling and deployment patterns for enterprise model training. The project highlights adoption by companies such as Nokia, Porsche, Brave, and Owkin and targets markets where data privacy and siloed datasets are critical.

Flower Labs enables organizations to train and improve AI models on distributed, sensitive data without centralizing it. It does this via an open-source federated learning framework combined with privacy-enhancing technologies and tooling for analytics and model evaluation. The platform is used by enterprises across telecommunications, healthcare, finance, automotive, and personal computing to collaborate on model training while keeping data on-premises or on user devices. Flower Labs is positioned as an open-source B2B framework that integrates with common ML tooling and deployment patterns for enterprise model training. The project highlights adoption by companies such as Nokia, Porsche, Brave, and Owkin and targets markets where data privacy and siloed datasets are critical.
What they do: Open-source federated learning framework and commercial platform enabling privacy-preserving, distributed AI
Founded: 2023
HQ: Hamburg, Germany
Known customers / adopters: Nokia, Porsche, Brave, Owkin
Funding: $20M Series A (Feb 15, 2024); ~ $23.6M total reported by Mar 2025
Federated learning, privacy-preserving distributed AI for enterprises
2023
Data and Analytics
3600000
Pre-seed announced in August 2023
20000000
Series A announced February 15, 2024
“Backed by institutional VCs and notable angels including Felicis (Series A lead), Betaworks, First Spark Ventures, Factorial Capital, Pioneer Fund, Mozilla Ventures, Y Combinator, Clem Delangue, and Scott Chacon”