15-May-2025 :

Tensor9, a startup that builds digital twins of enterprise environments, has secured a $4 million seed round to fuel product development and expansion. The round was led by Craft Ventures, with participation from The General Partnership, SV Angel, and angel investors including the co-founders of Segment and Rippling.
The company’s unique value proposition lies in its ability to simulate customer environments before actual software deployment. This allows vendors to test and troubleshoot their apps as if they were running in the target environment—reducing post-deployment surprises and saving engineering teams significant time. Tensor9’s platform is particularly useful for software providers selling to highly regulated or complex IT stacks.
As reported by TechCrunch, the platform enables vendors to create testable mirrors of end-customer environments. These mirrors, or "digital twins," can be spun up quickly and updated with real configuration data. Developers can then validate integrations, debug issues, and demonstrate functionality in highly realistic testbeds—streamlining the entire sales and support process.
CEO Kunal Bhatia emphasized that today’s fragmented software deployment landscape demands smarter tooling to eliminate friction. Tensor9 plans to use the funding to scale its engineering team, expand its integrations across infrastructure providers, and refine its AI-driven environment modeling. The company is positioning itself as a bridge between the product and operations lifecycle for SaaS vendors.
Digital twin technology, while not new, is gaining renewed traction thanks to AI advances and the growing complexity of enterprise software environments. Tensor9’s approach, which blends traditional DevOps practices with generative AI for environment simulation, represents a modern take on tackling deployment pain points.
With this seed funding, Tensor9 joins a growing group of startups focused on intelligent deployment, observability, and simulation tooling. Its goal is to make deployment cycles faster, more reliable, and easier to scale—regardless of the environment complexity on the customer side.