📝 Tensormesh raises $4.5M

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Tensormesh, an AI infrastructure startup founded by Junchen Jiang and Yihua Cheng, has emerged from stealth with $4.5 million in seed funding led by Laude Ventures, with participation from database pioneer Michael Franklin. The company is commercializing LMCache, an open-source utility created by Cheng that has become a key tool in AI inference optimization, used by developers at Google and Nvidia. Tensormesh’s core innovation lies in how it handles key-value (KV) caches — temporary memory used during model inference. Instead of discarding the cache after each query, Tensormesh retains and reuses it, allowing AI systems to process similar tasks far more efficiently and potentially cut inference costs by up to 10x. This approach is especially impactful for chatbots and agentic AI systems that must reference long interaction histories. By providing an out-of-the-box caching solution for enterprises — a process that might otherwise require months of engineering and large teams — Tensormesh aims to help companies extract far greater performance from their existing GPU infrastructure amid a global race for compute efficiency.

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