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

Initiatives seek access to new software and AI equipment, but their sensitive data cannot take the risk of sending third-party software-service (SAS) suppliers. Tensor 9 Software companies show more enterprise customers to help them help them place their software directly into customer technology stack.

Tensor 9 converts a software seller’s code into the format required to establish their customer’s technology environment. Tensor 9 creates a miniatureized model of the infrastructure of the software deployed to the software deployed, so that customers of Tensor 9 can observe how the software is working in their customer environment. Tensor 9 companies can help to deploy any basis from the cloud to the empty metal server.

Tensor 9’s co-founder and CEO Michael Ten-Pao Techchen told Tensor 9 that the use of digital twin technology to help the software transfer and remote observation, helps to stand up from other organizations like Tensor 9, e.g. Octopus deployed Or ItIt helps companies deploy software to the customer’s environment.

“You just can’t drop a software on the wall, or to throw away a software on the wall, and to know what is going on, to be able to find problems, to debug them, fix them,” Ten-Pao (depicted above, left). “They are watching it running, they can debug it, they can log in and understand what the problems are and understand them.”

He said that the time for Tensor 9’s technology is correct because of the Telwind of AI’s rise. Initiatives and financial institutions want to receive AI Tech, but the third party may not risk sending their data.

“An enterprise search can go to the seller, let’s say, JP Morgan and say, ‘Hey, you need all your six paraboite data access to create an intelligent search level so that your internal employees can convers to their company data,’ there is no way that is working,” Ten-Pu.

Ten-Pa, a former Engineer of the AWS, says he has a “long, fairly wind way” to launch Tensor 9. While working with another possible idea, he got an idea in favor of the company that did not work. He spent some time to determine if SOC 2 Certified for software vendors, a Cybercquire Compliance Framework, to help them unlock their vendors to help unlock customers to help unlock it.

Although it was not implemented, he discovered from customer calls that what the enterprises wanted was to just run the software in their own technology environment. However, many software companies, especially in startups, do not have the provision of providing a basepok on-product option for each enterprise customer.

This feeling was turned on the basis of Tensor 9, which was launched in Ten-Pao 2021. After years, he brought his former two colleagues, Matthew Mishi and Matthew Shanker as co-founder.

The company found the initial traction with Voice AI agencies. From that they have begun to expand to work on other verticals, including: Enterprise Search, Enterprise Database and Data Management. The company currently works with AI companies: 11x, Retail AI and Diana AI among others.

Bootstrapped for the first year of Tensor 9 and recently raised a $ 4 million seed round led by Wing Visi with the participation of an Angel Group and other Angel investors for the Model Venture, Model Venture’s Dehong Sachdev, former-NVEDIA employees. This idea was not very challenging investors on the board, Ten-Pay said because the VCs they spoke to their portfolio companies fought against this problem. Tensor 9K had to only explain to investors that they were the right team for work.

Ten-Pao said, “We have a simple model but under the cover there are many complications that do it, the strict technical challenges that we solved to do it,” said Ten-Pao. “I think it’s a thing that helped our investors persuade us to invest.”

The company has planned to use funds for the appointment and construction of the next generation of its technology so that it can work with customers in a more vertical case.

“There has been an evolution from this [on premise] Near the cloud and we think that the idea of ​​the software lives where it needs it and operates where it is needed, the next step is a kind of synthesis of previous on-primis and cloud ideas, “Ten-Pao.