Tensor9 introduces its solutions that enable enterprises to adopt AI software securely and efficiently.
Challenges in Enterprise Software Deployment
Most enterprises are hesitant to adopt new software, especially AI applications, that require sending sensitive data to third-party services. Tensor9 addresses this by allowing software to be developed and deployed directly within the client's existing infrastructure, negating the need to transfer data to third-party providers.
Digital Twin Technology
The digital twin technology enables Tensor9 to create miniaturized models of deployed software, providing real-time performance monitoring and troubleshooting. This crucial tool allows software vendors to analyze their products' performance within the enterprise's network. It also enables quick identification and resolution of issues without requiring access to sensitive information.
Future Plans and Investment Raise
In 2024, Tensor9 successfully raised $4 million in a seed round to expand its team and develop its technologies further. Co-founder Michael Ten-Pow noted that many investors recognize the significance of the solution offered by Tensor9, as it addresses a pressing issue for many venture capitalists' portfolio companies.
Tensor9 is actively tackling a critical issue in secure software deployment amidst the growing interest in AI. Their approach and technologies enable the integration of modern tools while preserving data privacy.
