Two new GA products, Unified Data Plane updates and four Intelligent Control Plane additions from Everpure's annual user conference.
The Short Version
▸ Pure Storage rebranded to Everpure; Q1 FY2027 revenue was $1.1 billion, up 35% year-over-year, reflecting the company's stated expansion from storage provider to data management platform
▸ Everpure Data Intelligence, formerly 1touch, is now available: universal discovery, automated governance and a semantic knowledge graph exposed through APIs and MCP
▸ Everpure Data Stream, based on the NVIDIA AI Data Platform reference design, is available now and reduces raw AI data preparation from months to minutes
▸ Everpure announced Unified Data Plane updates including Evergreen//One Overdrive and Everpure Cloud Azure Native Virtual Machines
▸ Four Intelligent Control Plane features ship from Q2 through Q4 2026: Copilot Workflow Execution, Enhanced Cyber Anomaly Detection, Workload Rebalance & Mobility and Fusion Compliance & Agentic Triage
▸ Cyber resilience framing positions immutable SafeMode snapshots and Human-in-the-Loop authorization as the final recovery backstop, not a perimeter concern
Pure Storage is now Everpure. The company now appears in investor materials as Everpure, NYSE: P. The name change is a statement about where the company is heading: from all-flash storage vendor to enterprise data platform company.
Everpure CEO, Charles Giancarlo, connected that identity shift to an AI-era problem at their annual Conference, Pure Accelerate. Decades of application-centric IT have produced a fragmentation that is easy to name: the same business concept, a customer record, a product SKU, carries different definitions across ERP, CRM and ServiceNow, each application owning its own copy with its own schema. That fragmentation was manageable when applications were the primary consumers of data. It becomes a direct obstacle when AI agents need to query the full enterprise estate and return consistent outputs. Data primacy reverses the relationship: pull data out of applications, govern it at the source with shared semantic context and let applications become consumers rather than owners.
That argument is not new. What is new is that Everpure is shipping the infrastructure that operationalizes it.
Everpure Data Intelligence, formerly 1touch.io, became generally available at Accelerate. The product discovers, classifies and contextualizes enterprise information at its source, across on-premises Everpure storage, public clouds, SaaS applications and third-party storage platforms.
It delivers three core capabilities:
Universal Discovery catalogs structured and unstructured data across major databases including SQL Server and Oracle, regardless of where it lives. The intent is not migration or consolidation; it is visibility. Organizations that cannot see all of their data cannot govern it.
Automated Governance continuously scans the environment to identify sensitive information (PII, PHI) and track data lineage, producing a compliance-ready map. Governance policies attach to data at the source and travel with it rather than being enforced by application-layer software downstream.
AI-Ready Context maps raw data to its real-world business definition, building a semantic knowledge graph. That graph is exposed through standard APIs and the Model Context Protocol, so AI agents can query and act on enterprise data with context rather than raw bytes.
Early results are compelling. In one cited deployment, Data Intelligence identified 70% duplicative PII/PHI records, enabling $2 million in cybersecurity premium reductions in year one. A second use case involves surfacing shadow data and linking disconnected records across siloed systems. The MCP-exposed semantics layer also reduces AI token consumption by giving agents structured, contextually relevant data rather than raw records.
“AI completely upends the traditional IT hierarchy; enterprises that do not shift from app-centricity to data primacy will fall behind. Because data is a company’s primary asset, embedding context, semantics and governance directly at the data layer is the right way to reduce data fragmentation created by the growth of apps and AI agents.” — Charles Giancarlo, CEO, Everpure · Pure Accelerate 2026, June 17, 2026
Everpure Data Stream, co-designed with NVIDIA over the past year and built on FlashBlade plus NVIDIA GPUs, is generally available. It provides a GPU-accelerated pipeline from ingestion to inference, integrating vector databases for RAG scenarios and powered in part by NVIDIA NIMs (containerized inference microservices). It reduces raw data preparation from months to minutes, enforces stream-level access controls within the corporate network and supports bring-your-own or built-in language models.
The architecture combines Data Intelligence for classification and context, FlashBlade for storage (FlashBlade//S to FlashBlade//EXA, which delivers up to 800 Gbps throughput per node for GPU-scale inference) and Portworx for Kubernetes-based orchestration.
Everpure is working with NVIDIA on AI-native storage capabilities for FlashBlade//EXA using NVIDIA’s STX reference architecture. The work is aimed at faster data access for agentic AI and long-context inference, but it appears to be roadmap-stage rather than generally available today.
“Idle GPUs are economically destructive. We standardized on Everpure FlashBlade because it eliminates the data bottlenecks that typically stall massive AI workloads. FlashBlade//EXA allows us to scale thousands of GPUs with up to 800 Gbps of throughput per node while maintaining rock-solid latency, driving up to 20% performance improvement for our customers.” — Sabur Mian, CEO and Founder, STN · Pure Accelerate 2026, June 17, 2026
Purity Turbo and ActiveCluster for File are available now.
Purity Turbo is a software capability exclusive to FlashArray//XL190, available now. It activates the secondary controller to serve read I/O alongside the primary, increasing throughput for read-intensive workloads such as AI inference and analytics. In a future release, the secondary controller will also absorb non-critical background workloads, reducing contention on the primary controller. No new hardware is required.
ActiveCluster for File extends synchronous replication and fully automated, policy-driven failover to file workloads, bringing NAS to the same resilience posture as block. It is delivered as a non-disruptive Purity upgrade with no new hardware required.
Additionally, Four Intelligent Control Plane additions and two Unified Data Plane updates follow on a rolling schedule through Q4 2026.
Enterprise AI initiatives frequently stall at the data layer. The issue is not simply storage capacity. Most organizations already have plenty of places to store data. The harder problem is that enterprise data is often fragmented, poorly governed and disconnected from its business meaning.
That is the problem Everpure is targeting with Data Intelligence and Data Stream.
Data Intelligence catalogs data across the estate, applies governance where the data lives and builds a semantic knowledge graph that maps raw records to business context. Exposed through MCP, that graph gives AI agents a more reliable way to query enterprise data with context instead of trying to interpret disconnected raw data on their own.
Data Stream extends that foundation by automating the path from governed data to AI inference. Once data is discovered, classified and contextualized, Data Stream helps ingest, index, vectorize and serve that data for AI workloads using the NVIDIA AI Data Platform reference design and NVIDIA NIMs as part of the inference architecture.
Together, Data Intelligence and Data Stream address two of the biggest blockers to production AI: ungoverned data that produces unreliable outputs and months of manual preparation before teams can put data to work.
This validates what Daymark has seen in the field for years. Successful AI projects do not start with the model. They start with the data. Our data engineering practice was built around that same principle: helping clients make existing data visible, governed, structured and usable through data readiness assessments, pipeline modernization and Microsoft Fabric-based architectures. Everpure’s announcements reinforce the same point at the storage layer. Data is the foundation for successful AI, and the organizations that govern and prepare it well will move faster from pilots to production.
Everpure’s security argument, established in a May 19 2026 press release, positions the storage layer as the authoritative recovery point. The architecture relies on immutable SafeMode snapshots that cannot be deleted even with global administrator credentials, plus a Human-in-the-Loop mandate requiring out-of-band multi-party authorization for sensitive data actions.
Everpure cited a Fortune 100 case where a malware-free attack using stolen credentials destroyed thousands of endpoints and virtual clusters; the data layer was unaffected, enabling recovery of revenue-critical operations in hours.
Daymark Solutions has been an IT Integrator since 2001, headquartered in Burlington, Massachusetts and serving customers across North America. Daymark designs, implements and supports enterprise infrastructure across two converging practices: a modern data center practice spanning virtualization, enterprise storage, data protection, networking and cybersecurity as well as a Microsoft cloud and AI practice covering Azure, M365, Copilot, Copilot Studio, Foundry and Fabric.
Daymark holds Microsoft Frontier AI partner status, the designation Microsoft reserves for partners with the advanced certifications and proven delivery record to lead enterprise AI engagements. Daymark also operates a dedicated Azure Government practice, including GCC High enclave design and implementation for defense industrial base contractors managing CUI and pursuing CMMC compliance.
If you’ve got questions or want to discuss how these announcements can work within your environment, please contact us. We’re excited about the shift this complete platform architecture will bring to our customers.