Privacy Compliance in AI

Because privacy matters


Protecting the privacy of personal and sensitive data is the most delicate topic for many AI engineers. XAIN provides a Federated Learning platform, so your machine learning pipeline becomes automatically compliant in privacy regulations. No more anonymization needed, no more risks of data consolidation.

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Federated Learning

The privacy preserving way


Federeted Machine Learning

Our platform leverages Federated Learning, the innovative approach of training data decentralized and efficient. This makes machine learning compliant to privacy regulations, such as EU-GDPR and CCPA. Find out how this technology works and why it makes complicated and costly anonymization obsolete.

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Federeted Machine Learning

Case Study

The first AI application powered by XAINs FedML technology


ANDY - automated invoice processing

ANDY is the first application running its training models on the eXpandable AI Network.

The solution for automated invoice processing consolidates machine learning knowledge from various data silos while keeping data privately in the respective corporate environments.

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ANDY - automated invoice processing

We are proud to have already successfully worked with:

AWSDaimlerDeutsche BahnInfineonnVidiaOraclePorscheSAPSiemens

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Interested in more information about XAIN, insights about Federated Machine Learning or you want to work with us?