Everpure: Pure Storage Rebrands and Acquires 1Touch to Push AI-Ready Data Management
Pure Storage is rebranding to Everpure and moving past its storage-only label. The company is acquiring New York-based data security firm 1Touch to anchor a broader platform focused on preparing enterprise data for AI at scale.
The familiar orange stays, but the mission expands: turn operational data into actionable information, harden it with cyber resiliency, and give leaders a clearer path from AI pilot to production. The brand transition on the New York Stock Exchange begins March 5, with the PSTG ticker unchanged.
What's changing
- From storage vendor to AI-focused data management platform aimed at contextualizing and securing enterprise data.
- Acquisition of 1Touch adds data discovery, security, and contextual intelligence.
- Deal expected to close in Q2 of fiscal 2027; terms undisclosed.
- Name shifts to Everpure; orange brand identity continues; PSTG ticker remains.
"By joining forces with Everpure, we can eliminate the barriers that have kept enterprises from realizing the true ROI of their data," said Ashish Gupta, CEO and president of 1Touch. "Together, we will further expand the Everpure platform to provide a level of contextual intelligence that is unmatched in the industry - giving customers the foundation they need to move AI projects from pilot to production at record speed and trust."
Everpure's CEO Charlie Giancarlo framed the pivot clearly: "We are now positioned to do more than automate data storage for our customers; we can enable them to better manage their global enterprise data at scale." He added that 1Touch brings cyber resiliency and contextualization capabilities that are "foundational to preparing data for AI."
Why it matters for management
AI value depends on context-rich, trustworthy data. Storage alone doesn't deliver that; discovery, lineage, access control, retention policy, and threat containment do.
This move signals vendor consolidation potential: one platform to store, classify, secure, and serve data to AI workloads. That can compress time-to-value and simplify procurement, but it raises integration and lock-in questions you should vet early.
If you're shaping data strategy, now is the time to pressure-test policies, platforms, and skills against an AI-first posture. For additional structure, see AI for CIOs.
Signals from the market
Everpure makes this shift from a position of strength, following steady growth and strong guidance last year. Demand for its Evergreen offerings remains healthy, spanning Storage-as-a-Service and subscription-based hardware/software upgrades.
Real-world traction shows up in partnerships: providing the data layer for Nokia's telco cloud on Red Hat OpenShift, and teaming with Cisco and Nutanix on FlashStack to attract VMware migrations. These relationships point to a platform strategy that meets enterprises where they run workloads today.
What to ask your team and vendors now
- Data inventory and governance: Do we have end-to-end visibility into sensitive data across clouds, regions, and business units?
- Context for AI: Can we enrich data with lineage, quality scores, and usage policies before it hits model pipelines?
- Security and resiliency: How do we detect, contain, and recover from data-centric threats without derailing SLAs?
- Integration path: How cleanly would Everpure fit with our Kubernetes, data lakehouse, and MLOps stacks?
- Commercials and lock-in: What are the migration, egress, and cross-platform costs over a 3-5 year horizon?
- Compliance: Can we automate retention, deletion, and subject rights across jurisdictions without manual workarounds?
- Operating model: Who owns data contracts and platform guardrails across IT, security, and data science?
Trading and timeline
Everpure goes live on the NYSE on March 5 under the existing PSTG ticker. The 1Touch acquisition is slated to close in Q2 of Everpure's fiscal year 2027, with financial terms not disclosed.
Bottom line
Everpure is betting that AI returns come from context and control, not capacity alone. If they execute, expect a single platform that moves data from stored to ready-discoverable, secured, and production-grade for AI.
As Giancarlo put it: "We are ensuring our identity matches the scope of our impact and the future we are creating in data management." For leaders, the task now is clear: align architecture, policy, and teams to make data useful, safe, and fast.
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