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Tensor9 helps vendors deploy their software into any environment using digital twins
- Tensor9 helps software vendors by deploying their code directly into a customer’s tech environment, without sending data to third-party SaaS providers.
- Tensor9 converts vendor code for deployment and creates a digital twin to monitor software performance in the customer's environment.
- The use of digital twin tech sets Tensor9 apart, allowing for remote monitoring and issue debugging.
- Enterprises seek AI adoption but are wary of data sharing; Tensor9 helps bridge this gap.
- Founded by Michael Ten-Pow, a former AWS engineer, Tensor9 addresses the need for on-premise software deployment.
- The company raised a $4 million seed round after bootstrapping for a year, with plans to expand into more verticals.
- Tensor9 works in voice AI, enterprise search, databases, and data management verticals, catering to companies like 11x, Retell AI, and Dyna AI.
- Investors were drawn to Tensor9's solution due to technical complexity resolved by the team.
- Future plans for Tensor9 involve hiring, technology enhancement, and expanding services across various sectors.
- Tensor9's model reflects a synthesis of on-premise and cloud deployment strategies, offering customized software solutions.
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