Storage and data management organization Everpure recently announced the debut of Everpure Data Stream, a capability that brings advanced AI capabilities directly to enterprise data where it already lives.
Based on the NVIDIA AI Data platform reference design, the offering enhances Everpure’s AI-ready data delivery capabilities.
“With Data Stream, one of the problems that we’re trying to solve is how do we automate the whole process of enterprise customers accommodating to their vast amounts of data and making that more usable, more easily plumbed into AI workflows,” said Rob Lee, CTO, Everpure, during Everpure’s Accelerate 2026 conference in Las Vegas.
Everpure seeks to address governance and infrastructure challenges in AI adoption
As organizations deploy AI agents with increasing regularity, challenges such as ingesting enterprise data for AI use, maintaining strict data security and governance, and building infrastructure capable of scaling to meet AI demand remain persistent.
Data Stream was designed to address these challenges by reducing raw data preparation from months to minutes, enforcing stream-level access controls that keep information securely within the corporate network, and providing a scale-out architecture that lets storage and compute scale independently to match changing model requirements.
“We are undergoing a massive capital supercycle in AI, where the defining factor between industry icons and those who disappear is the ability to adapt,” said Lee.
“The winning AI architecture requires a unified platform that allows businesses to start small with immediate use cases and seamlessly scale to exabyte capacity. Everpure solves this challenge by delivering a trusted, secure, and high-performance data pipeline that accelerates time-to-results for an enterprise’s data.”
AI data preparation and retrieval
Everpure’s latest solution enables AI readiness by making data classified, curated, cleaned, secured, and scaled.
Via Everpure’s Data Intelligence (formerly 1touch), enterprise information is discovered, classified, and contextualized at its source to map data dependencies into a data relationship graph.
This intelligence layer makes data understanding and relationships available via APIs and the Model Context Protocol (MCP), delivering highly relevant, accurate data inputs to AI models.
Data Stream, meanwhile, accelerates enterprise AI projects by removing cost and complexity barriers. It builds on the NVIDIA AI Data Platform reference design to provide the foundation enterprises need to seamlessly convert unstructured data into real-time AI results.
“We’re essentially delivering a full-stack solution that lets enterprises connect to and screen all of their data sources, automatically ingest the data, curate it, classify it, index it, calculate all the vector embeddings, and basically automate the process, which today is altogether way too manual, of preparing that data and providing it to vectorized models,” said Lee.
Everpure and NVIDIA build on AI storage partnership
Additionally, Everpure is developing next-generation AI solutions with NVIDIA STX, a modular foundation for AI-native storage using NVIDIA Vera and the NVIDIA Vera BlueField-4 STX storage processor.
The focus here will be on bringing acceleration, security, and intelligent data services closer to enterprise data as organizations deploy agentic AI at scale.
“Building the next generation of AI factories requires a data architecture that seamlessly bridges secure, governed enterprise data with accelerated computing,” said Jason Hardy, Vice President of Storage Technology at NVIDIA.
“Everpure’s integration with the NVIDIA AI Data Platform provides the infrastructure foundation organizations need to scale from AI experimentation to full-production intelligence.”
Pure Accelerate 2026 features announcements about Everpure’s new capabilities to securely accelerate AI initiatives for enterprises. Read more about the Data Intelligence architecture and updates to the Enterprise Data Cloud.