Logo

Federated Learning Labs

Tools for privacy preserving data science. Run machine learning or simple analytics on distributed data.

Launch App
Illustration
icon
Create decentralized federated learning projects and train models easily.
icon
Leverage data without having direct access to them.
icon
Encrypted exchange of all results.
icon
Get paid by providing data for training.
PartnerPartner

Our Mission

Our goal is to make machine learning possible on sensitive data without compromising privacy. We enable this process across multiple data providers, unleashing the aggregated power of distributed datasets. We strive for simplicity, allowing anyone to set up a project. Connecting data scientists with data providers is a matter of minutes.

Learn More

Benefits

icon

Privacy Preserving

We allow doing data science on distributed datasets without having direct access to them.

icon

Easy to start

Train machine learning models on distributed data easily.

icon

Encrypted

Secure exchange of compute results is our #1 priority.

Our Roadmap

Nov 2021

Birth

Birth of FELT on Chainlink Hackathon

Q1 2022

Web App

Web App for interacting with our smart contracts

MVP #1

MVP of the FELT protocol

Q2 2022

Architectural Upgrade

We decided to create FELT on top of Ocean Protocol stack.

MVP #2

FELT v.0.1.0 built on top of Ocean Protocol stack

Q3 2022

Ocean Shipyard

We joined Ocean Shipyard - early stage grant program

Q4 2022

New Features

Federeted learning, federated analytics, new models and more

Our Team

Břetislav Hájek

Břetislav Hájek
Filip Masár

Filip Masár
Martin Ondejka

Martin Ondejka
Peter Žáčik

Peter Žáčik
Envelope illustration