Anyway coordinates your machines, creating an optimized on-premise distributed system to unlock their full AI potential. Our software solution was designed and developed at the Distributed Computing Laboratory of EPFL, where we integrated cutting-edge technology to create the most optimized and stable solution for production environments.
Anyway enables you to leverage the full power of AI directly on-premise using your own machines, providing a private AI solution without ever transferring a byte of data externally.
Our software handles the orchestration, coordination, and fault tolerance of your machines, so you can focus on leveraging AI without the burden of deployment and management.
Once Anyway is installed on your devices, you have complete control. No one, not even us, can access it in any way. You can safely use the full power of AI on your most sensitve data.
Professor of Computer Science at EPFL and Director of the Distributed Computing Laboratory. He worked in the past with HP Labs in Pallo Alto and the MIT. He wrote many books on Safe AI and has many patents on robust computing.
Senior Researcher in scalable and secure systems at EPFL. PhD from Sorbonne Université / CNRS on scalable datacenter systems. Former researcher at University of Sydney focusing on secure blockchains. He has patents on scalable computing.
Expert in Safe AI & distributed machine learning and postdoctoral researcher at EPFL. He obtained his PhD in Computer Science at Université Paris Dauphine / CNRS on multi-agent learning and worked in the past at the Financial Market Authority in France.
