Businesses want access to new AI software and tools, but cannot risk sending their sensitive data to third -party software providers (SAAS). Tensor9 It seems to help software companies land more business customers, helping them develop their software directly on a customer’s technological stack.
Tensor9 converts the Software Supplier Code into the format required for the development of its client’s technological environment. Then, Tensor9 makes a digital twin of developed software or a tiny model of the software infrastructure that is developing so that Tensor9 customers can monitor how the software works in their customer environment. Tensor9 can help companies evolve into any condition ranging from cloud to naked metal servers.
Michael Ten-Pow, co-founder and chief executive of Tensor9, told TechCrunch that Tensor9’s ability to transfer software to any condition and the use of Twin digital technology to help with remote monitoring, helps Tensor9 stand out from other companies, such as Octopus Deployment, Companies to install software in a customer 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 find out what’s going on, be able to find problems, find them, fix them,” Ten-Pow said (picture above, left). “They see that they are running. They can detect it. They can connect and understand what the issues are and fix them.”
He said that time is right for Tensor9 technology due to the tails from the rise of AI. Businesses and financial institutions want to adopt AI Tech, but they cannot risk sending their data to third parties.
“A business search supplier can go, say, JP Morgan and say,” Hey, I need access to all the six petabytes of your data to create a smart search mattress over it so that your internal employees can chat with their company data, “there is no way to work”.
Ten-Pow, a former AWS engineer, said he had a “long, quite a bit of a trail” to start Tensor9. He got the idea for the company while working on another possible idea that didn’t work. It took a long time if he could find a way to facilitate software suppliers to get SoC 2 certified, a cyber -conformity framework, to help them unlock the customers who required their sellers to have it.
While this did not work, he discovered from customers’ calls that everything the businesses really wanted was the software to run only in their own technological environment. But many software companies, especially newly established businesses, do not have the resources to offer a custom option for each business customer.
This feeling became the basis for Tensor9 that began ten-pow in 2024. Later in the year, he brought two of his former colleagues, Matthew Michie and Matthew Shanker, as co-founders.
The company found early attraction with AI vocal companies. Since then, they have begun to expand to work on other verticals, such as: Enterprise Search, Databases Enterprise and data management. The company is currently working with AI companies, such as: 11x, Retell AI and DYNA AI, among others.
Tensor9 Bootstrapped for its first year and recently set a 4 million-dollar seed round led by Wing VC involving Level Up Ventures, Devang Sachdev of Model Ventures, Nvangels, a group of former Angels-Nvidia employees and other investors. The acquisition of investors on the ship with the idea was not very provocative, Ten-Pow said, because the VCs they talked about had seen their portfolio companies struggling with this exact problem. Tensor9 just had to convince investors that he was the right team for the job.
“We have a simple model, but under the covers, there is a great complexity that makes this happen, harsh technical challenges we have solved to happen,” Ten-Pow said. “I think it was one of the things that helped us persuade investors to invest in us.”
The company plans to use funding to recruit and build the next generation of technology so that it can work with customers in more verticals.
‘There has been an evolution by [on premise] For the cloud and we believe that this idea of the software lives where needed and operates where needed, this is the next step that is a kind of synthesis of previous ideas on the spot and cloud, “Ten-Pow said.
