Enterprises want access to new software and AI tools, but they may not take the risk of sending their sensitive data to a third -party software to a service provider. Tenser 9 Software helps companies get more enterprise users down by helping companies directly deploy their software into customer tech stack.
The tanker converts the 9 software vendor code into the format required to deploy in its user tech environment. The tanker then makes digital twins of 9 deployed software, or makes a monitoring model of deployment software infrastructure, so users of tanker 9 can monitor how the software is operating in its user environment. Tancer can help deploy 9 companies from cloud to bare metal server.
Michael Tan Poo, co -founder and CEO of Tancer 9, told Tech Crunch that Tensor 9’s ability to move the software to any grounds, and the use of its digital twin technology to help remote monitoring, helps to build Tancer 9 from other companies. Okitus deployed Or BusIt also helps companies deploy software into a user environment.
Ten Pao (the picture above, the left) said, “You just can’t throw a piece of software on the wall, or throw a piece of software on the wall is very difficult, and know what’s happening, be able to find problems, debug them, fix them,” he said, “Ten Poo, the top). “They see that it is running, they can debug on, they can log in and understand what matters are and can fix them.”
He said that due to the rise of AI, the time for tanker 9 tech is right due to tail winds. Enterprises and financial institutions want to adopt AI Tech, but they may not take the risk of sending their data to a third party.
“An Enterprise Search Vendor Perhaps, JP Morgan says,” Hey, I need access to all six of your six -by -tes data to create an intelligent search layer on it so that your internal employees can talk with their company data, ‘there is no way to work, “
Ten Pao, a former AWS engineer, said he had a “tall, quite a wet path” for the release of tanker 9. He got an idea for the company, working on another possible idea, which did not result. He spent some time to find out if he could find a way to make the software vendors easier to get 2 certified, cyber -score compliance framework, to help them unlock users for which their shopkeepers need it.
Although it did not result, he inquired with customer calls that businesses really wanted to win it was the software that only operated in its tech environment. But many software companies, especially Startups, have the resources to offer the Baspock on -premise option for every enterprise customer.
These emotions became the foundation of the 9th, which was launched by ten Pao in 2024. Later this year, he brought two of his former colleagues, Matthew Machi and Matthew Shankar as a co -founder.
The company got preliminary traction with Voice AI companies. Since then, they have begun to extend operating in other verticals, including: enterprise search, enterprise database and data management. The company currently works with AI companies, including: 11 X, Retail AI and Dina AI, among others.
Tancer 9 did the bootstream for his first year and recently collected a round of $ 4 million seeds headed by Wing VC, which participated in level -up ventures, Deong Sachdev of Model Ventures, Angel Group of Former N Video Employees, and an angel of other angel investors. Ten Pao said that it was not too difficult to add investors to the board with this idea, because the VCS he spoke with, he saw his portfolio companies struggling with this problem. Tancer 9 only had to persuade investors that they were the right team for this job.
“We have a simple model, but under the cover, there is a lot of complexity that offers it, the tough technical challenges we have solved to solve,” said the ten Pao. “I think this was one of the things that helped us to persuade investors to invest in us.”
The company plans to hire and use funds to build its next generation of technology so that they can work with consumers more vertically.
“There is an evolution from there [on premise] For the cloud and we understand that the idea of the software where it needs, and operates where it needs it, is the next step that is a synthesis of previous on -premises and cloud ideas.