Tensor9 helps to publish their programs in any environment using digital twins

Institutions want to access new programs and artificial intelligence tools, but they cannot risk sending their sensitive data to the third software service providers as a service (SAAS). Tensor9 It is looking to help software companies to land in more institutional customers by helping them to spread their programs directly in the customer’s technology.

Tensor9 converts the program seller icon into the necessary coordination for publication in the customer technology environment. Tensor9 then a digital twin from published programs, or a mini -infrastructure model for the published program, so that Tensor9 customers can monitor how the program works in the environment of their customers. Tensor9 can help companies spread in any hypothesis ranging from the cloud to bare metal servers.

Michael Tin Pao, co -founder and CEO of Tensor9, TECHCRUNCH, told TENSOR9 to transfer programs to any hypothesis, and use them for digital twin technology to help with remote monitoring, TENSOR9 helps excellence Octopus publishing or NounThis also helps companies spread programs in the customer environment.

“You can not only throw a program on the wall, or very difficult to throw a piece of programs on the wall, know what is going on, be able to find problems, correct them, and fix them,” said Ten-Pow (in the image above). “They see that it works, they can correct it, and they can log in and understand what the issues are and repair.”

He said that the timing is suitable for Tensor9 technology due to the back winds of the rise of artificial intelligence. Financial institutions and institutions want to build artificial intelligence technology, but they cannot risk sending their data to a third party.

“The search seller may go to the institution, let’s say, JPor Morgan and say:” Hey, I need to access all your six data to build a smart search layer on top of which your internal employees can have a conversation with their company’s data, “there is no way to work.”

Ten-Pow, a former AWS engineer, said he had a “somewhat long-standing path” to launch Tensor9. He got the idea of ​​the company while working on another possible idea that did not succeed. He has spent some time discovering whether he could find a way to facilitate access to software sellers to obtain a SOC Certificate, a compliance framework for cybersecurity, to help them open customers who require their sellers to obtain them.

Although this did not succeed, it was discovered from customer calls that what institutions really want is the program that is running in their technology environment. But many software companies, especially startups, do not have the necessary resources to provide an option for each customer.

This feelings became the basis for Tensor9, which he launched in 2024. Later in the year, he brought two of his former colleagues, Matthew Mishi and Matthew Shankar, as participating founders.

The company found early traction with AI vocal companies. Since then, they have begun to expand work in other sectors, including: institutional research, institutions data rules and data management. The company is currently working with artificial intelligence companies including: 11x, Ruetell AI and Dyna Ai, among others.

Tensor9 Bootstraased was obtained for the first year, and recently raised a 4 million -dollar seed tour led by Wing VC with the participation of Level Up Ventures, Devang Sachdev from Model Ventures, Nvangels, a group of former Nafidia employees, and other owners of owners. Ten-Pow said that getting investors on the idea was not very difficult, because the VCS who spoke with them had seen their wallet companies struggled with this problem exactly. Only Tensor9 had to persuade investors that they were the right team for this position.

“We have a simple but under covers, there is a lot of complexity that makes it happen, and the difficult technical challenges that we have resolved to achieve this,” said Ten-Pow. “I think this was one of the things that helped us persuade investors to invest in us.”

The company plans to use employment financing and build the next generation of its technology so that it can work with customers in more vertical.

Ten-Pow said: “There was an evolution from (on the hypothesis) to the cloud and we believe that the idea of ​​this software that needs this, and works in the place you need, is the next step that is a kind of synthesis of previous and cloud ideas.”