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

Companies want access to new software and AI tools, but cannot run the risk of sending their sensitive data to a software-as-service (SaaS) providers of third parties. Tensor9 It is looking to help software companies to end up more business customers by helping them implement their software directly into the technical stack of a customer.

Tensor9 converts the code of a software supplier in the format needed to implement in the technical environment of their customer. Tensor9 then makes a digital twin of the implemented software, or a Geminiaturized model of the infrastructure of the implemented software, so that the Tensor9 customers can check how the software works in the environment of their customer. Tensor9 can help companies use in every starting point, ranging from cloud to bare metal servers.

Michael Ten-Pow, co-founder and CEO of Tensor9, told WAN to the ability of Tensor9 to transfer software to any starting point, and the use of digital twin technology to help monitor external, helps to distinguish Tensor9 from other companies, such as implementing a customer, that also implement or nuon.

“You can’t just throw a piece of software over the wall, or it is very difficult to throw a piece of software over the wall and know what is going on, finding problems, debuging, repairing,” said Tien-Pog (shown above, left). “They see it walking, they can debug it, they can log in and understand what the problems are and they solve.”

He said that the timing is suitable for Tensor9’s technology because of the tail wind due to the rise of AI. Companies and financial institutions want to take over AI technology, but cannot run the risk of sending their data to a third party.

“An Enterprise search seller can go, say, JP Morgan and say:” Hey, I need access to all your six parabytes of data to build an intelligent search layer, so that you can have a conversation with the data of their company, “there is no way to work,” Ten PoW said.

Tien-Pow, an ex-engineer at AWS, said he had a “long, reasonably winding path” to the launch of Tensor9. He got the idea for the company while working on another potential idea that didn’t work. He spent some time finding out if he could find a way to make it easier for software suppliers to get SOC 2 certified, a cyber security compliance framework, to help them unlock customers to have their suppliers to have it.

Although that did not work, he discovered from customer conversations that what companies really wanted, the software was just to walk in their own technical environment. But many software companies, especially startups, do not have the means to offer a customized option for every Enterprise customer.

That sentiment became the basis for Tensor9 that Tien-Pow was launched in 2024. Later in the year he brought two of his ex-AWS colleagues, Matthew Michie and Matthew Shanker, as co-founders.

The company found early traction with Voice AI companies. Since then they have started to expand to work in other verticals, including: Enterprise Search, Enterprise databases and data management. The company is currently working with AI companies, including: 11x, including AI and Dyna AI.

Tensor9 Bootstrapped for the first year and recently raised a $ 4 million seed round, under the leadership of Wing VC with the participation of Level Up Ventures, Devang Sachdev of model Ventures, NvaRels, an angel group of ex-Nvidia employees and other Engel Investors. Getting investors on board with the idea was not too challenging, said Ten-Pow, because the VCs they spoke to had seen their portfolio companies struggling with this exact problem. Tensor9 simply had to convince investors that they were the right team for the job.

“We have a simple model, but among the covers there is a lot of complexity that makes that possible, difficult technical challenges that we have solved to make that happen,” Ten-Pow said. “I think that was one of the things that helped us convince investors to invest in us.”

The company plans to use the financing for hiring and building the next generation of its technology, so that it can work with customers in more verticals.

‘There has been an evolution of it [on premise] To the cloud and we think this idea of ​​software lives where it is needed and works where it is needed, is that next step that is a kind of synthesis of the previous on-premise and cloud ideas, “Ten-Pow said.