Flower

Train AI on distributed data

Y CombinatorWinter 2023ActiveB2B

What they do

Problem

Organizations cannot effectively train and improve AI models on sensitive data because the data is distributed across silos and devices and cannot be centralized.

Solution

Flower provides an open-source federated learning framework and ecosystem to train AI on distributed data and compute while keeping data local and secure.

Who it's for

Enterprises and AI teams/developers that need to train models across distributed private data sources and user devices.

Founders

Daniel J. Beutel

Founder

Daniel is one of the creators of Flower, the first fully agnostic federated learning framework, which is now being used at many Fortune 500 companies and most top universities worldwide. He previously held roles as Head of AI and CTO and has considerable experience in running and scaling engineering teams. Daniel is a CS PhD candidate at the University of Cambridge and has an MSc (with distinction) in Software Engineering from the University of Oxford.

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Nic Lane

Founder

Nic Lane is a co-founder of Flower Labs, and has been working on Flower since its creation. Nic is also a full Professor in Machine Learning Systems at the University of Cambridge . Previously, he has been on the faculty of Oxford and UCL. Nic additionally has 12-years experience in industrial research (including Microsoft Research and Nokia Bell Labs). Most recently as co-founder and Head of the Samsung AI Center in Cambridge; a 50-staff AI lab started in 2018.

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Taner Topal

Founder

Taner is one of the creators of Flower, the first fully agnostic federated learning framework, which is now being used at many Fortune 500 companies and most top universities worldwide. He previously held roles as Head of Engineering and CTO in two prior startups. Some companies using products he helped build include Porsche, Lufthansa, and Vattenfall. Taner is also a Visiting Researcher at the University of Cambridge.

LinkedIn · X