Build & Train Models on Sensitive Data without Compromising Privacy.

Devron is a federated machine learning and data science platform that enables teams to build and train models on distributed, heterogeneous, and private data sources without the cost and risk of moving data. Because Devron natively keeps the raw data private and in situ, Devron can help you overcome many jurisdictional, regulatory, and privacy data-sharing issues.

As a result, you can unlock access to valuable, previously inaccessible datasets and discover trapped insights and innovation without compromising privacy. 

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By leaving your data where it is and never exposing the underlying information, Devron can help you:

Unlock access to more data, including datasets containing PII and PHI
Train models on sensitive data without the risk of privacy leakage or lineage issues and without losing valuable signals in the data
Boost model accuracy, generalizability, and reliability
Discover trapped innovation in data currently locked behind regulatory, departmental, or jurisdictional walls
Stay compliant & secure—only sharing model learnings, not the data


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