Everpure has expanded its data management platform with native MCP integration and new AI infrastructure capabilities designed to give AI agents secure access to enterprise data.
The capabilities further Everpure’s Data Primacy vision, which was introduced at its Pure//Accelerate conference in Las Vegas in June.
Everpure connects enterprise data to AI agents
Everpure has positioned its Data Intelligence solution as the layer that helps organizations make enterprise data discoverable and understandable to AI agents – without allowing those agents unrestricted access to the underlying data.
Everpure Data Intelligence spans the Everpure Platform, public clouds, SaaS applications, and third-party storage.
The new capabilities bring autonomous agents and administrators direct, secure access to live enterprise context without custom API work. The capabilities include:
- Native MCP Integration: Implements the open Model Context Protocol (MCP) so AI agents and security tools can query live data catalogs using natural language. Agents will now be able to find relevant data and understand its sensitivity class as an input to AI, agent workflows, and analytics.
- Turn-Key Deployment: Streamlines deployment through the existing Pure1 console and accelerates time-to-value without the operational overhead of setting up separate management servers.
- Privacy-First File Intelligence: Provides visibility into who can access each file share and how stale it is, without reading file content, enabling teams to fix exposure and reclaim capacity before opening shares to AI agents.
“Enterprise AI is hitting a wall not because the models are lacking, but because data is not ready for real-time, autonomous agents,” said Prakash Darji, General Manager, Data & Digital Experience at Everpure. “We are eliminating that friction. 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.”
For MSPs and solution providers, the capabilities point to a growing services opportunity around enterprise AI readiness. Partners can play a role in ensuring the data feeding AI agents is discoverable, appropriately permissioned, and connected to production infrastructure without requiring customers to overhaul where that data resides.
New capabilities bring AI execution closer to data
Everpure is also launching new capabilities that bring high-performance AI execution directly to data at the source and deliver production speed without moving data from its system of record.
These new capabilities include:
- Accelerated LLM Inference via PureKVA (Key-Value Accelerator): Everpure FlashBlade now stages context directly into GPU memory to deliver up to 20x faster Time to First Token (TTFT). It supports enterprise multi-tenancy with zero dataset relocation, eliminating GPU idle time, increasing token throughput, and decreasing response lag for real-time apps.
- Always-On DeepReduce Data Compression: Scans storage blocks continuously across FlashBlade systems to find sub-block data similarities. Usable storage capacity also expands automatically without impacting write performance or requiring manual scheduling to reduce the hardware footprint and cross-cloud expenses.
- Intelligent Token Optimization Reference Architecture: Everpure will now deliver a reference architecture using open weight models, allowing more control over data and predictable AI costs while cutting overall API token usage from external providers.
Individually, these capabilities close specific gaps, but together, they will provide enterprises with a single, continuously updated foundation for managing data and running AI in production to keep pace as agentic workflows scale.