Tensor9 helps vendors deploy their software into any environment using digital twins

Enterprises want new software and access to AI instruments, but they cannot comply with sensitive data to third party providers to third party (SAAS) providers. TENSOR9 The programs provide more enterprise customers to help companies enter the customer’s technological stack directly.

Tensor9 converts a software dealer code to the format to place customers in the technological environment. Tensor9 then corrects a miniature model of the digital twin or the infrastructure of the program placed, so TenSOR9 can watch the program works in customer environments. Tensor9 can help companies place from the cloud to any building from cloud to naked metal servers.

Michael Ten-POW helps TENSOR9 distinguish between other companies to help the co-founder and CEO co-founder and CEO’s ability to transfer Tensor9 to any building and use digital twin technology Place octopus or That isIt also helps companies place software to the customer’s environment.

“You can’t simply throw a piece of a piece on the wall or find a piece of a piece on the wall, find them, straighten them, straighten them, correct them,” correct them above (described above. “They see that they are working, they can debug them, and can enter and understand what matters and make them.”

He said that due to tail facilities from the AI ​​increase of time is correct for TenSor9 technology. Enterprises and financial institutions want to receive AI Tech, but send their information to a third party.

“An enterprise search seller, let’s say

Ten-POW, an old engineer in AWS, said that Tensor is a “long, enough winding way” to start. Working has taken the company’s opinion while working on another potential idea that does not work. SOC 2 Certificate of SOC 2 Certificate can find a way to obtain a way to get a cyberctity matching framework, the Kibersecure match will help you unlock customers who require a suitable framework.

If this does not work, the customer challenges discovered how the program will only want what enterprises want to manage what enterprises want. However, many program companies, especially beginnings, there are no sources to offer a selection offer in a Bespoke for each enterprise client.

This feeling, was the key to Tensor9 in 2024. After the year, colleague colleagues, Matthew Michie and Matthew Shanker, as co-founders, brought two of the past Miche and Matthew Shanker.

The company found early traction with voice AI companies. Since then, we have expanded to work in other branches: search for enterprise, enterprise database and data management. The company currently works with AI companies: 11x, Retell AI and Dyna AI, among others.

Tensor9 was opened for the first year of the Tensor9 and recently weded a hose of an angel group and other angels of Wing Vacures, NVGGELS, NVIDELS, NVIDIA employees. The idea of ​​investors on the plane was not very difficult, because Pow said because the VC’s portfolio for this clear problem. Tensor9 should only convince investors to be the right team for work.

“We have a simple model, but there are many complexity under the covers that we have difficult technical problems we have occurred,” he said. “I think it was one of the things that help investors convince us to invest.”

The company plans to use it to build the next generation to work with customers who are financing for hiring and more vertical.

“It was an evolution [on premise] For the cloud and this program lives where this idea is needed and works where it works, which is the next step in the previous place and a kind of cloud ideas, “he said.