Critiqs

Tensor9 streamlines secure AI deployments for enterprises

tensor9-streamlines-secure-ai-deployments-for-enterprises
  • Tensor9 lets vendors embed software inside client systems, keeping sensitive data secure and private.
  • The platform turns code into ready-to-use packages for any client setup and provides real-time infrastructure digital twins.
  • Having secured four million in funding, Tensor9 aims to simplify, scale, and expand secure enterprise AI deployments.

Enterprises seeking the latest software and artificial intelligence solutions often hesitate to trust their sensitive data to outside software-as-a-service providers. Tensor9 aims to bridge this gap by giving software vendors a way to embed their products directly inside a client’s own technology systems.

By transforming a vendor’s code into a deployment-ready format, Tensor9 enables integration of new software across any environment, from cloud platforms to physical servers. Once deployed, Tensor9 also creates an exact virtual replica of the software infrastructure for precise monitoring and issue identification within the client’s ecosystem.

Gaining Momentum as Enterprises Demand Custom AI Deployments

Michael Ten Pow, who leads the company, emphasizes that this strategy stands apart by making it possible to troubleshoot, maintain, and adjust software remotely even after it is installed on-site. Tensor9’s approach is particularly timely, given the increasing reluctance among financial institutions and large enterprises to hand over immense volumes of proprietary data to outside organizations for AI-driven analytics.

As Ten Pow describes, potential buyers like major banks simply will not risk exposing their entire data repositories to third-party tools, even for advanced features like intelligent internal search. This recognition inspired Ten Pow to pivot from an earlier business concept to focus on giving vendors the tools to offer self-contained, customer-resident software options.

While many startups struggle to tailor software for every enterprise’s custom hosting requirements, Tensor9’s technology automates much of the deployment and ongoing support processes. After bringing on two fellow AWS alumni as co-founders, the company has quickly found traction, initially working with voice AI developers and expanding into other sectors like enterprise search and data management.

So far, their platform is already being utilized by notable AI companies and database providers. To fuel further growth, Tensor9 recently secured a four million dollar seed investment from a group of venture partners familiar with the challenge enterprises face in deploying externally developed technology.

Investors were persuaded by the team’s mastery of underlying technical complexities despite presenting customers with a simplified user experience. With the backing in place, Tensor9 plans to increase hiring and advance their deployment technology to support new industry sectors.

Ten Pow believes the future lies in flexible software that operates natively wherever a business needs it most, combining the best aspects of traditional local and modern cloud solutions. The company’s goal is to become the standard for seamless, secure enterprise deployment in an AI-driven world.

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