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Decentralized data analytics on encrypted data using Multi-Party Computation11-50 Employees
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Decentralized data analytics on encrypted data using Multi-Party Computation
Our flagship product, the Virtual Data Lake, enables easy implementation of Secure Multi-Party Computation in an enterprise environment.

This allows you to perform analytics on sensitive data without ever revealing the original source data. Hence allowing parties to collaborate while retaining privacy.

No cryptographic expertise is needed to use the product, such that any data scientist can write and deploy their own models. We enable faster deployment and lower costs.
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Roderick Rodenburg
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Valuation

$0

Funded over

1 round

Latest round

Pre-Seed (Jun 2022)

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