Tensormesh, a new startup, has successfully raised $4.5 million in seed funding to develop a commercial version of its open-source LMCache utility. The funding round was led by Laude Ventures, with contributions from notable angel investors. The LMCache technology is designed to reduce inference costs by up to 10 times, making it a valuable asset for AI deployments. The core innovation involves retaining key-value caches, which are typically discarded after each query in traditional systems. By keeping these caches, Tensormesh allows AI models to reuse learned information, thereby improving efficiency, especially in applications like chat interfaces. The company aims to provide a solution that simplifies the complex task of managing AI inference, which often requires significant engineering resources. With the growing demand for AI infrastructure, Tensormesh is positioned to meet the needs of organizations looking to optimize their AI capabilities.