Enterprise requires access to new software and tools AI but cannot risk sending their sensitive information to Software-A. TENSOR9 See to help the international software company than customers enterprise by helping their software directly in direct customer technology.
Tensor9 converter software seller codes as a necessary format in using customer’s technologies. Tensor9 then turn the digital twins, or the Infrastructure of the Program Program in the Processable Program in the Customer Environment. Tensor9 can help companies can be used to in any place since listening to a bare metal server.
Michael Ten-Pow, Tensor9 co-workers with verification capacity or prominent use of ten octopus
“You can not only throw software only on the wall, or it is very difficult to cast the problem, and know that it can find,” Ten-Pow (the picture) said. “They find it running, they can solve, they can understand and understand what the problem is and fix them.”
He said the schedule is suitable for Tensor9’s technologies due to tailwind from the increase of AI increases. The financial and financial institutions need to adopt Ai Tech, but cannot risk sending their information to third parties.
Mr. JP Morgan and say,
Ten -Pow, an engineer specialist at AWS, says that he has a “long and windy road” in the TENSOR9 launch. He gets an idea for the company while working on another potential thinking. He spent the time to figure out if he could find a way to make the software easily, to help them unlock the seller.
While that does not do, he discovered from the client calls what the enterprise is truly wanting to run in his own technological environment. But some software companies, especially the beginning, no resources to offer options in customer enterprise system.
That feeling has become the basis for ten-pow-pows launched by 2024.
The company has met with installation with AI AI Ai companies. Since then, they have started to work in other vertical, including: Enterprise Databases and Data Management and Management. The company currently works with AI companies including: 11x, retell AI and Dyna Ai, among others.
Tensor9 bootstrapped for its first year and recently added by the Investment Wing VC, and other angels investors. Getting investor on the boat with the idea is not challenging too challenging, Ten-Pi said, because the VCS they talked to their problems. Tensor9 just had to persuade the investors they are a valid team for the job.
“We have a simplest model but on the bottom of the covering that causes what happens, the hard technical challenge to cause,” Ten Purn. “I think that’s one thing that helps us persuade investors to invest in us.”
The company planned to use funds for hire and for generations construction of information to you can work with the customer over.
“There is an evolution from [on premise] With the cloud and we think this program’s idea live where it needs, and follow the thought of compiling and last clouds, “ten pow-poy.