Tensor9 is innovating software deployment by allowing companies to integrate their applications directly into a customer's infrastructure without needing to transfer sensitive data to third-party services. It converts vendor code for seamless integration and employs digital twin technology for monitoring performance remotely. Co-founder Michael Ten-Pow emphasizes that the traditional methods of software deployment are fraught with risks, and Tensor9's approach stands out due to rising AI demand among enterprises wary of data security. This technology meets the needs of sectors like finance that require secure, compliant solutions.
You can't just throw a piece of software over the wall, or it's very difficult to throw a piece of software over the wall, and know what's going on, be able to find issues, debug them, fix them.
They see it running, they can debug it, they can log in and understand what the issues are and fix them.
An enterprise search vendor might go to, let's say, J.P. Morgan and say, 'hey, I need access to all your six parabytes of data to build an intelligent search layer on top of it so that your internal employees can have a conversation with their company's data,' there's no way that's going to work.
The timing is right for Tensor9's tech due to tailwinds from the rise of AI. Enterprises and financial institutions want to adopt AI tech, but can't risk sending their data to a third party.
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