The backbone
for federated AI and
data collaboration

A federated privacy-preserving platform for solving data collaboration challenges. From discovering and evaluating third-party datasets to running data consortia, training advanced AI models, and much more.

Use Cases for Internal Collaboration

Zero-Trust ML

Train and evaluate models, while assuring clients and consumers that their data is safe.

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Privacy-Preserving Analytics

Enforce privacy-preserving policies, without compromising utility, to get answers fast.

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Cross-Unit Collaboration

Enable multiple business units to collaborate across systems, no data transfer necessary.

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Key Features for Internal Collaboration