Bootstrap and scale your ML models with millions of new observations

Access cross-domain, cross-organizational data without engineering roadblocks or privacy concerns.

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Use cases

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Zero privacy risk or engineering overhead

Enrich your data without the hassle

Optimal discovery
Information is accumulated into a single model, giving each query unified access to the whole network.
Automated feature mapping
Datasets are combined on a structural level, removing the need for manual feature mapping.
Privacy by design
Enabled by recent advances in privacy-preserving machine learning, all compute is performed in secure latent space.