Flower Labs
Flower is the leading open-source framework for training AI on distributed data, emphasizing federated learning and other privacy-enhancing technologies. It enables industry leaders to collaborate on model training across various sectors including telecommunications (Nokia), healthcare (Korean AI Center for Drug Discovery), finance (stealth), automotive (Porsche), and personal computing (Brave). The company aims to unlock the potential of private, distributed data for AI advancement.
Flower Labs
Flower is the leading open-source framework for training AI on distributed data, emphasizing federated learning and other privacy-enhancing technologies. It enables industry leaders to collaborate on model training across various sectors including telecommunications (Nokia), healthcare (Korean AI Center for Drug Discovery), finance (stealth), automotive (Porsche), and personal computing (Brave). The company aims to unlock the potential of private, distributed data for AI advancement.
TL;DR
Core product: Distributed federated learning platform (Flower Intelligence for hybrid local+cloud model serving)
Founded: 2020
Total funding (disclosed): ≈ $23.6M
Investors: Felicis, Betaworks, Pioneer Fund, First Spark Ventures, Factorial Capital, Mozilla Ventures, Clem Delangue, Scott Chacon, Y Combinator
Headcount (reported): 82
Company Overview
Problem Domain
Federated learning, privacy-preserving distributed ML, and on-device/edge AI orchestration
Founded
2020
Industry
Data and Analytics
Tech Stack
Funding Track Record
$3.6M
Reported pre-seed to expand the open-source federated learning platform
~$20M
Series A reported in February 2024 (Dealroom/coverage)
Investor Signal
“Felicis led Series A; participation from Betaworks, Pioneer Fund, First Spark Ventures, Factorial Capital, Mozilla Ventures, Clem Delangue, Scott Chacon, Y Combinator”