India, Sept. 30 -- Enterprise AI is running into a less glamorous problem than model selection: the data behind the model must be fast, governed, and legally controllable at the same time. Everpure is trying to address that pressure with new data management features for AI workloads, while its latest research suggests many Indian enterprises remain underprepared for data sovereignty risks.

The company says the new capabilities will become available in October 2026 and span AI-agent access, storage efficiency, GPU-side inference acceleration, and token-cost management.

A central addition is native support for the Model Context Protocol (MCP), an open protocol that allows AI systems to connect with external data and tools. Everpure says A...