Tensor9 Enables Secure Enterprise Software Deployment with Digital Twin Technology

Enterprises increasingly demand access to cutting-edge software and AI tools but face significant challenges when it comes to data security. Many organizations are reluctant to send sensitive data to third-party SaaS providers, creating a barrier for software vendors seeking to expand their enterprise customer base. Tensor9 emerges as a solution by enabling software companies to deploy their applications directly into the customer’s own technology stack, eliminating the need to transfer data externally.

Tensor9 works by converting a software vendor’s code into the specific format required to deploy within the customer’s tech environment, whether that be cloud infrastructure, bare metal servers, or other on-premise setups. Beyond deployment, Tensor9 creates a digital twin — a miniaturized, virtual model of the deployed software’s infrastructure — which allows vendors to remotely monitor, debug, and maintain the software as if they were onsite. This capability addresses a critical pain point: the difficulty of managing and troubleshooting software once it’s deployed in diverse enterprise environments.

Michael Ten-Pow, Tensor9’s co-founder and CEO, highlights that their approach stands out from competitors like Octopus Deploy and Nuon by combining flexible deployment with advanced digital twin monitoring. This is particularly timely given the surge in AI adoption, where enterprises and financial institutions want to leverage AI capabilities without risking exposure of their vast and sensitive data repositories to external providers.

Ten-Pow’s background as an AWS engineer informed the creation of Tensor9, which launched in 2024 after identifying that enterprises preferred software to run within their own environments. Many startups and software vendors lack the resources to offer tailored on-premise deployments for each customer, a gap Tensor9 fills by automating and simplifying this process.

Tensor9 initially gained traction with voice AI companies and has since expanded into other verticals such as enterprise search, databases, and data management. The company works with AI firms including 11x, Retell AI, and Dyna AI. After bootstrapping its first year, Tensor9 raised a $4 million seed round led by Wing VC, with participation from several angel investors and venture funds familiar with the deployment challenges faced by their portfolio companies.

Looking ahead, Tensor9 plans to use its funding to hire talent and develop next-generation technology that supports a broader range of verticals. Ten-Pow envisions a future where software operates seamlessly where it needs to — whether on-premise or in the cloud — synthesizing the benefits of both deployment models to meet enterprise demands for security, control, and performance.

Tensor9’s innovative approach addresses a critical industry challenge: enabling enterprises to adopt advanced AI and software tools without compromising data security or operational oversight. By facilitating direct deployment and providing digital twin-based monitoring, Tensor9 empowers software vendors to deliver enterprise-grade solutions that meet stringent compliance and performance standards.