Everpure has announced new capabilities to help businesses securely fast-track enterprise AI initiatives while maintaining visibility and control over all their data. Anchored by the introduction of Everpure Data Intelligence (formerly 1touch.io) and new updates to the Enterprise Data Cloud, these advancements will help organisations turn fragmented enterprise data into trusted, AI-ready intelligence.

Historically, enterprise IT relied on an application-centric model that trapped critical data and context within application silos for specific functions such as sales, finance, or logistics. Today, this app-fragmented approach acts as an operations bottleneck — triggering massive data sprawl, blind spots, and costly replication of untrusted data. To unlock the value of AI, businesses must shift to a data-centric model.

“AI completely upends the traditional IT hierarchy; enterprises that do not shift from app-centricity to data primacy will fall behind,” said Charles Giancarlo, Chairman and CEO of Everpure. “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. Enterprises need to consolidate their fragmented enterprise data footprint into a real-time corpus of trusted intelligence.”

In the data primacy model, information is liberated from individual applications to become a shared and governed system of record. Data needs to be self-describing and carry its own meaning and logic wherever it goes. Furthermore, governance is embedded at the data layer, ensuring lifecycle management and privacy rules are permanently attached to the information rather than policed by outside software. Apps and agents read from, and can contribute to, the data in the system of record, but do not own it.

Everpure Data Intelligence discovers, classifies, and contextualises enterprise information at its source. It works on all data, including the Everpure Platform, public clouds, SaaS applications, and third-party storage. Instead of trapping meaning inside rigid application or hardware silos, Data Intelligence contextualises definitions and connections in enterprise-wide data while adding safety rules and contextual relationships necessary for AI. For enterprises deploying AI agents, feeding them accurate and relevant data maximises response accuracy while drastically reducing the context windows and token costs.

Data Intelligence delivers three core capabilities across an enterprise’s entire estate — universal discovery, automated governance, and AI-ready context.

“Enterprises are spending millions on advanced AI models and compute, but their underlying infrastructure is starving those systems with disconnected data,” said Matt Kimball, VP & Principal Analyst, Moor Insights & Strategy. “The biggest bottleneck to AI adoption right now isn’t the software, it’s the plumbing. Putting data at the centre of the enterprise strategy is exactly how IT leaders can rein in runaway operational costs and accelerate rollouts.”

Because Data Intelligence works seamlessly with the Everpure Platform, it further extends the value of the Enterprise Data Cloud architecture, according to the company. Organisations can apply context-aware intelligence directly to how information is stored, operated, and protected across their entire estate.

Everpure is introducing updates to its Unified Data Plane to deliver a shared foundation across the entire enterprise that eliminates performance silos, maximises resource efficiency, and brings cloud-like scaling directly into physical data architecture. A key development is Evergreen//One Overdrive, available in Q3 2026, which provides a temporary, cloud-like performance boost for on-premises storage to seamlessly absorb traffic spikes up to 25 per cent above baseline without requiring permanent subscription upgrades.

Sitting above the Unified Data Plane, the Intelligent Control Plane embeds AI directly into daily operations — turning manual, reactive storage administration into a self-optimising, secure environment. By utilising natural language orchestration and predictive behavioural analysis, these tools abstract operational complexity: workload rebalance & mobility, copilot workflow execution, enhanced cyber anomaly detection, and fusion compliance & agentic triage.

Published on June 17, 2026