Tensormesh, a startup emerging from stealth mode, announced a $4.5 million seed round led by Laude Ventures with additional backing from angel investor Michael Franklin. The funding will accelerate the development of a commercial product built around LMCache, an open‑source utility that can slash AI inference costs by up to tenfold. Tensormesh’s approach focuses on preserving the key‑value (KV) cache across queries, a technique that boosts efficiency for chat‑driven and agentic AI systems. The company aims to offer an out‑of‑the‑box solution that eliminates the need for extensive engineering effort, positioning itself as a cost‑saving layer for GPU‑intensive workloads. Leia mais →