The missing layer for collective intelligence
-> Unlock insights from data you can't access.
-> Create value from data you can't share.
We're OpenMined, a non-profit community building technology that enables secure computation across siloed data — unlocking collective intelligence while preserving attribution-based control.
Meet Syft:
The Federated
AI Network
The network coordinates secure, governed computation across silos — without moving data — making it possible to study information that would otherwise remain private.
This is how collective intelligence becomes real: when people and communities across information silos connect — respecting their choices and values as they do so, for us to study at any scale, not just what a single group could achieve alone.
Supported Subnets
Publishers
Control your distribution in the AI era. Make your assets AI-ready and queryable with guaranteed attribution, fair compensation, and tracking reader engagement — all without losing custody.
Genomics
Run collaborative genomic research without ever centralizing raw data. BioVault is a free, open-source subnetwork where insights flow freely while sensitive files stay secure on participants' devices.
Creators
Turn everything you've created into a knowledge base your audience can explore. Know what they're curious about, engage them at scale, and unlock new revenue from content you already have.
AI Auditors
Enable third-party AI audits without exposing proprietary models or user data. Cryptographic infrastructure ensures auditors get verified answers… not copies of model weights, training data, or user logs.
Open, Public Good Infrastructure
No vendor lock-in, no black boxes — just open protocols that ensure the network remains truly decentralized and free.
Flexible Federated Computation
Run exactly the computation you need — from simple analytics to complex model inference — all executed securely where the data lives.
Full Control Over Your Data
Decide who can use your data, for what purpose, and the privacy, attribution, or pricing rules — and the network enforces them for you.
Start your own federated sub-network
Launch a privacy-preserving network for your domain — whether that be in climate, healthcare, finance, or beyond.
The federated AI network provides open-source infrastructure for secure, governed collaboration, where data stays distributed, and insights are derived without compromising ownership or control.
Partnerships
Press Room
Secure Enclaves for AI Evaluation
Frontier AI Taskforce: second progress report
From privacy to partnership: The role of PETs in data governance and collaborative analysis
Privacy-preserving third-party audits on Unreleased Digital Assets with PySyft
Winners Announced in First Phase of UK-US PETs Prize Challenges
OSTP-NSF-PCAST Event on Opportunities at the AI Research Frontier
Driving US Innovation in AI: A Roadmap for AI Policy in the US Senate
National Strategy to Advance Privacy-Preserving Data Sharing and Analytics
Democratizing the future of AI R&D: NSF to launch National AI Research Resource pilot
A New Model for International, Privacy-Preserving Data Science
AI Accountability Policy Report
Christchurch Call Initiative on Algorithmic Outcomes
Expanding our commitments to countering violent extremism online
Investing in privacy enhancing tech to advance transparency in ML
Introducing a New Subreddit for Researchers
Privacy and Machine Learning Courses
Partnering with Google to make differential privacy more widely accessible
OpenMined and PyTorch partner to launch fellowship funding for privacy-preserving ML community
The PET Guide
Facilitating Access to Non-Public Data: A World in Which All Data is “Open”
Reimagining Our High-Tech World
Keep Exploring
Read the latest updates
Take Control of Your Data's Future
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