Everpure has been named a Leader in the 2026 Gartner Magic Quadrant for Enterprise Storage Platforms, as enterprise storage increasingly evolves from infrastructure for holding information into a foundation for AI and automated data operations.
The company said it was positioned highest for Ability to Execute and furthest for Completeness of Vision for the second consecutive year.
The recognition marks the thirteenth time Everpure has been named a Leader across Gartner Magic Quadrant reports covering its storage markets.
But the announcement arrives as the role of enterprise storage itself is changing.
Organizations deploying AI agents and applications need more than capacity and performance. They increasingly need ways to discover, classify, govern and move information automatically across increasingly complex hybrid environments.
Everpure is positioning its platform around that requirement.
Storage Becomes a Data Management Problem
Gartner defines enterprise storage platforms as products and services capable of supporting diverse block, file and object workloads through a centrally managed control plane.
That definition reflects how storage infrastructure has expanded beyond individual arrays and systems.
Organizations may now have operational data distributed across on-premises infrastructure, cloud environments, SaaS applications and other platforms.
AI adds another complication.
Models and agents are only useful when they can access appropriate, trustworthy information. Fragmented or poorly governed data can make deploying AI across an organization significantly more difficult.
Everpure calls its approach “Data Primacy,” arguing that trusted and contextualized information should form the foundation for applications and AI agents rather than remaining locked inside application-specific data stores.
Automating Data Preparation for AI
Recent additions to the Everpure Platform reflect that strategy.
Everpure Data Intelligence is designed to discover, classify, contextualize and govern information across Everpure systems as well as cloud, SaaS and third-party environments.
Its AI Data Stream technology addresses another part of the process by automating data discovery, preparation and delivery pipelines.
The goal is to make information available to AI applications without requiring teams to manually assemble and prepare every individual data source.
For enterprises experimenting with agentic AI, that automation could become increasingly significant.
AI agents may need to work across information stored in multiple applications and environments while still respecting enterprise security and governance requirements.
Creating an automated data layer underneath those agents can reduce some of the operational complexity associated with putting them into production.
One Control Plane Across Hybrid Infrastructure
Everpure is also expanding its Enterprise Data Cloud capabilities to bring data, policies and semantics together across hybrid environments.
Centralized management has become an important theme across infrastructure as enterprises attempt to reduce the operational overhead created by separate tools and platforms.
Applying consistent policies from a shared control plane can help organizations automate routine management while reducing configuration differences between environments.
Everpure is combining that model with cyber resilience capabilities designed to protect information and accelerate recovery following attacks.
That creates a platform covering storage, data governance, automation, AI preparation and resilience rather than treating each function as a separate infrastructure layer.
AI Changes What Enterprises Need From Storage
The growing importance of AI is forcing infrastructure vendors to rethink what customers expect from storage.
Performance and reliability remain essential, but enterprises increasingly need to understand what data they possess, where it resides, who can access it and whether it is suitable for AI applications.
Automating those processes could become particularly important as organizations move from individual AI projects toward larger numbers of applications and autonomous agents.
Everpure’s latest Gartner positioning gives the company another industry recognition, but the larger story is the changing definition of enterprise storage itself.
As AI becomes more deeply integrated into business operations, storage platforms are increasingly being asked not only to preserve enterprise data but to organize, govern and deliver it automatically to the systems that need it.