Everpure unveils Data Intelligence platform to help enterprises accelerate AI adoption

New capabilities combine data discovery, governance and AI-ready context with enhanced Enterprise Data Cloud features, enabling organizations to transform fragmented information into trusted, secure and actionable intelligence for large-scale AI deployments.

Everpure has announced a series of new offerings aimed at helping enterprises strengthen their artificial intelligence initiatives by improving data visibility, governance, and accessibility across complex IT environments.

The company introduced Everpure Data Intelligence, formerly known as 1touch.io, alongside enhancements to its Enterprise Data Cloud (EDC) platform. The updates are designed to address one of the biggest challenges facing AI adoption: fragmented enterprise data spread across applications, storage systems, cloud environments, and software platforms.

According to Everpure, traditional enterprise IT architectures have long relied on application-centric models, where critical business information remains isolated within individual software systems. While effective for specific functions such as finance, sales, and operations, these silos have increasingly become obstacles to AI adoption by creating duplicated data, governance challenges, and limited visibility.

“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.”

Data intelligence platform targets AI readiness

At the center of the announcement is Everpure Data Intelligence, a platform designed to discover, classify, and contextualize enterprise information regardless of where it resides. The solution works across on-premises infrastructure, public cloud environments, SaaS applications, and third-party storage systems.

The platform introduces three key capabilities: universal data discovery, automated governance, and AI-ready contextualization. It enables organizations to identify both structured and unstructured data, locate sensitive information, track data lineage, and create semantic relationships that help AI models better understand enterprise information.

Industry analysts say data fragmentation remains a major hurdle for organizations seeking to scale AI initiatives.

“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 absolute center of the enterprise strategy is exactly how IT leaders can rein in runaway operational costs and accelerate rollouts.”

Enterprise data cloud gains AI-powered enhancements

Everpure also announced significant updates to its Enterprise Data Cloud architecture, including enhancements to its Unified Data Plane and Intelligent Control Plane.

Among the new capabilities is Evergreen//One Overdrive, expected to become available in the third quarter of 2026. The feature is designed to provide temporary performance increases for on-premises storage environments during periods of heightened demand without requiring permanent infrastructure upgrades.

The company also outlined several AI-powered management tools scheduled for rollout between 2026 and 2027. These include automated workload mobility, natural-language-based operational workflows, advanced cyber anomaly detection, and AI-assisted compliance monitoring and remediation.

To support customers transitioning toward a data-centric operating model, Everpure introduced the EDC Success Blueprint, a structured framework designed to help organizations assess readiness, address infrastructure risks, and build scalable enterprise data cloud environments.

The latest announcements reflect a growing industry focus on treating data as a strategic asset for AI, with enterprises increasingly seeking platforms that combine governance, automation, and intelligence to support next-generation applications.