Enterprises want access to new software and AI tools but can’t risk sending their sensitive data out to a third-party software-as-a-service (SaaS) providers. Tensor9 looks to help software companies land more enterprise customers by helping them deploy their software directly into a customer’s tech stack.
Tensor9 converts a software vendor’s code into the format needed to deploy into their customer’s tech environment. Tensor9 then makes a digital twin of the deployed software, or a miniaturized model of the deployed software’s infrastructure, so Tensor9’s customers can monitor how the software is working in their customer’s environment. Tensor9 can help companies deploy into any premise ranging from cloud to bare metal servers.
Michael Ten-Pow, Tensor9’s co-founder and CEO, told TechCrunch that Tensor9’s ability to transfer software to any premise, and its use of digital twin technology to help with remote monitoring, helps Tensor9 stand out from other companies, like Octopus Deploy or Nuon, that also help companies deploy software into a customer’s environment.
“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,” Ten-Pow (pictured above, left) said. “They see it running, they can debug it, they can log in and understand what the issues are and fix them.”
He said 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.
“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,” Ten-Pow said.
Ten-Pow, an ex-engineer at AWS, said he had a “long, fairly winding path” to the launch o …