Since its launch in early 2024, Tensor9 has quickly become a leader in software deployment innovation. That’s why this dynamic technology startup is revolutionizing the industry with its cutting-edge solutions. Michael Ten-Pow has started and grown this amazing company. It has particular expertise in harnessing digital twin technology to facilitate frictionless software handovers between disparate environments. Ten-Pow, with co-founders Matthew Michie and Matthew Shanker, wants to make it easier for software vendors to get on board. They are intent on making sure you’re cyber-secure at every turn.
The company has developed an innovative solution. It empowers software developers to push their applications to literally anywhere with the right level of data protection. With the power of digital twin technology, Tensor9 provides software applications the experience of remote monitoring and off-site human management. This fresh, simplified model both improves the installation experience and solves other challenges that come with the traditional software installation process.
In an increasingly data-driven world, Tensor9 has positioned itself to assist enterprises and financial institutions in adopting artificial intelligence technologies. She added that this is all done without requiring the sharing of sensitive information with outside parties. The company’s commitment to data security is further underscored by its support in helping vendors achieve SOC 2 certification—a critical cybersecurity compliance framework.
Michael Ten-Pow, who dedicated considerable time to streamlining the SOC 2 certification process for software vendors, believes that traditional methods often fall short in meeting modern demands. He’s a big proponent of making sure people understand the complexities at play when it comes to improving software deployment practices.
“You can’t just throw a piece of software over the wall, or it’s very difficult to throw a piece of software over the wall, and know what’s going on, be able to find issues, debug them, fix them.” – Michael Ten-Pow
Beyond its cutting-edge technology, Tensor9 has received a notable boost of financial support. The firm recently completed a $4 million seed round of funding. Wing VC led the round, with participation from Level Up Ventures, Devang Sachdev of Model Ventures, and the NVAngels, a group of former Nvidia employees. This funding will allow Tensor9 to invest in their technical prowess and grow their market penetration.
Tensor9’s approach is indicative of a broader movement away from code as the primary delivery mode. Ten-Pow shares that there has been a change from the days of on-premise installations to cloud-based solutions. He describes this transition as a synthesis of previous methodologies, saying:
“There’s been an evolution from [on premise] to the cloud and we think that this idea of software lives where it needs to, and operates where it needs to, is that next step that’s a sort of synthesis of the previous on-premise and cloud ideas.” – Michael Ten-Pow
The company partners with prodigious AI companies such as 11x, Retell AI, and Dyna AI. This partnership cements its position in the industry. These partnerships are incredibly important to Tensor9. They further enable the firm to expand its impact and provide more customized, holistic solutions to address clients’ varying, complex needs.
Ten-Pow highlights a perennial bugaboo that enterprise search vendors face. This last one is a big deal when they are dealing with the big financial institutions like J.P. Morgan. He points out the difficulty in accessing massive data repositories for building intelligent search layers, stating:
“An enterprise search vendor might go to, let’s say, J.P. Morgan and say, ‘hey, I need access to all your six petabytes of data to build an intelligent search layer on top of it so that your internal employees can have a conversation with their company’s data,’ there’s no way that’s going to work.” – Michael Ten-Pow
Tensor9’s novel model balances elegant simplicity with deep complexity to solve difficult technical challenges that have traditionally made it impossible to deploy effective software.
“We have a simple model but underneath the covers there’s a lot of complexity that makes that happen, hard technical challenges that we’ve solved to make that happen.” – Michael Ten-Pow