New capabilities target governed data access, faster AI inference and predictable costs as enterprises scale autonomous AI workflows.
Everpure has announced new data management capabilities designed to help enterprises move artificial intelligence from pilot projects into production by addressing fragmented data context, deployment complexity and unpredictable inference costs.
The updates extend the company’s Data Primacy vision, which positions data at the centre of enterprise architecture. The capabilities span data discovery and governance, AI inference acceleration, storage efficiency and token optimisation.
Everpure Data Intelligence is adding native Model Context Protocol (MCP) integration, enabling AI agents and security tools to query live data catalogues using natural language. The system can help identify relevant information and its sensitivity classification across Everpure infrastructure, public clouds, SaaS applications and third-party storage.
“Enterprise AI is hitting a wall not because the models are lacking, but because data is not ready for real-time, autonomous agents.” — Prakash Darji, General Manager, Data & Digital Experience, Everpure
A simplified deployment process through the existing Pure1 console aims to reduce operational overhead, while privacy-focused file intelligence identifies access permissions and stale file shares without reading file contents.
For AI performance, Everpure is introducing PureKVA, a key-value accelerator designed to pre-stage context directly into GPU memory. The company claims it can deliver up to 20 times faster time to first token, helping reduce response latency and improve token throughput without relocating datasets.
Additional capabilities include always-on DeepReduce compression, which identifies data similarities beyond traditional deduplication, and a reference architecture using open-weight models to help organisations reduce reliance on external API tokens and improve cost predictability.
“By making enterprise data continuously governed, automated, and instantly accessible, we’re giving organizations the foundation to move AI out of the lab and into production with the necessary confidence,” said Prakash Darji, General Manager, Data & Digital Experience at Everpure.
The announcements highlight the growing importance of data governance, infrastructure efficiency and cost control as enterprises scale AI agents. Everpure said the capabilities are also intended to strengthen cyber resilience by helping organisations identify sensitive information and prioritise protection and recovery.
