Tensormesh

Tensormesh provides a caching layer specifically designed for AI inference, enabling developers to significantly reduce costs and improve response times for workloads that involve repeated context. It addresses the inefficiencies of reprocessing the same prompts, documents, tools, and workflow states in AI applications. The platform is built to handle context-heavy AI workloads at scale, offering both serverless deployment for immediate use and reserved capacity for large-scale production needs. Tensormesh is ideal for applications like agent workflows, long document analysis, and multi-turn conversations, where reusing cached tokens can lead to substantial savings and performance gains. It includes a robust three-layer cache architecture and an enterprise-grade control plane for observability, reliability, and security.