Tensor9 Uses Digital Twins for Secure Software Deployment

Secure Software Deployment with Tensor9's Digital Twin Technology

Enterprises need access to modern software and AI tools. However, sharing sensitive data with third-party SaaS providers presents significant security risks. Tensor9 offers a solution, enabling software companies to deploy their products directly into a customer's existing tech stack.

How Tensor9 Works

Tensor9 converts vendor code into the required format for deployment within a customer's specific environment. It then creates a digital twin, a miniature model of the deployed software's infrastructure. This allows Tensor9's customers to monitor performance and address issues within the client's environment.

Tensor9 supports deployments across various infrastructures, from cloud platforms to bare metal servers.

Competitive Advantage

According to Michael Ten-Pow, Tensor9's co-founder and CEO, the platform's ability to deploy to any environment and its use of digital twin technology for remote monitoring sets it apart from competitors like Octopus Deploy and Nuon.

“You can’t just throw software over the wall and expect everything to work perfectly," says Ten-Pow. "With Tensor9, our customers gain visibility into the deployed software. They can monitor its operation, debug issues, and implement fixes effectively.”

Addressing the Rise of AI and Data Security Concerns

Ten-Pow highlights the timely relevance of Tensor9, particularly with the growing adoption of AI. Enterprises and financial institutions are eager to leverage AI but are hesitant to share their data with third parties.

He explains, "Imagine an enterprise search vendor asking J.P. Morgan for access to petabytes of data to build an intelligent search layer. That simply wouldn't be acceptable from a security standpoint." Tensor9 addresses this concern by allowing AI software to run within the client's secure environment.

From SOC 2 to Secure Deployment

Ten-Pow's journey to founding Tensor9 began with an exploration of simplifying SOC 2 certification for software vendors. Through customer interactions, he realized the core need was for software to run directly within the enterprise's environment. Many software companies, especially startups, lack the resources for bespoke on-premise deployments. This insight led to the launch of Tensor9 in 2024.

Growth and Funding

Tensor9 initially focused on voice AI companies but has expanded to other verticals, including enterprise search, databases, and data management. Current clients include 11x, Retell AI, and Dyna AI.

After bootstrapping for its first year, Tensor9 recently secured a $4 million seed round led by Wing VC, with participation from Level Up Ventures, Model Ventures, NVAngels, and other investors.

Future Vision

Tensor9 plans to use the funding for hiring and developing the next generation of its technology to support more verticals. Ten-Pow envisions a future where software resides and operates wherever needed, combining the benefits of on-premise and cloud solutions.