Partnering for Privacy-Preserving Predictive Maintenance

From left to right: Jonathan Rouach- CEO, QEDit; Jean-Yves Plu- VP, Thales; Jordan Brandt- CEO, Inpher

SAN FRANCISCO, April 18- RSA Conference: Thales and Inpher sign partnership agreement for privacy-preserving predictive maintenance solution.

When anticipating the needs of high-tech fleets distributed around the world, more data is better.  The challenge is that the owners and operators of the equipment cannot share information because it is often confidential, proprietary or both.  In order to provide their customers with comprehensive, accurate and cryptographically secure predictive maintenance, Thales has signed an agreement with Inpher to use the XOR Secret Computing® Engine as a foundation of their innovative solution.  This enables prediction models to be trained on distributed data sources without exposing or moving any of the data.   Together with fellow Station F Cybersecurity Program startups QEDit and Keeex, the Inpher team looks forward to continued success in this partnership.