Everpure has announced new capabilities to help organizations accelerate enterprise AI initiatives while maintaining visibility, governance, and control over their data. The announcement centers on the introduction of Everpure Data Intelligence, formerly known as 1touch.io, alongside several updates to the company’s Enterprise Data Cloud (EDC) architecture.
The company positions the release as a response to the growing challenges created by application-centric IT environments, where critical business information is often isolated within individual applications. As AI adoption increases, these data silos can lead to data sprawl, governance challenges, and costly duplication of information, making it more difficult to establish trusted data sources for AI models and agents.
Everpure Chairman and CEO Charles Giancarlo said enterprises must transition from application-centric architectures to data-centric strategies as AI reshapes IT operations. He emphasized that governance, context, and semantic understanding need to be embedded directly within the data layer so organizations can create trusted, real-time intelligence repositories that support both traditional applications and AI-driven workflows.
Building a Data-Centric Foundation for AI
Everpure’s approach centers on what it calls a data-primacy model, in which data exists independently of the applications that consume it. In this model, information becomes a shared system of record that carries its own context, meaning, governance policies, and lifecycle controls.
Applications and AI agents can read from and contribute to the data environment, but ownership remains with the data platform itself. This approach is intended to improve consistency while reducing the fragmentation often associated with modern SaaS and AI ecosystems.
Everpure Data Intelligence
Available immediately, Everpure Data Intelligence is designed to discover, classify, and contextualize enterprise data at its source. The platform operates across on-premises infrastructure, public cloud environments, SaaS applications, third-party storage systems, and the broader Everpure platform.
The software provides visibility into both structured and unstructured datasets, including information stored in databases such as Microsoft SQL Server and Oracle. By identifying where critical business data resides, organizations can gain a clearer view of enterprise-wide data assets without relying on application-specific silos.
Data Intelligence also automates governance functions by scanning environments for sensitive information, including personally identifiable information (PII) and protected health information (PHI). The platform tracks data lineage and relationships, helping organizations maintain compliance and governance requirements across distributed environments.
A key component is its semantic knowledge graph, which maps enterprise data to business context and relationships. According to Everpure, this allows AI agents to better understand enterprise information, improving response accuracy while reducing context window requirements and associated token consumption.
Enterprise Data Cloud Enhancements
The company also introduced several additions to its Enterprise Data Cloud architecture, beginning with updates to its Unified Data Plane. The goal is to provide a common operational foundation across enterprise infrastructure while reducing storage and performance silos.
One of the more notable announcements is Evergreen//One Overdrive, scheduled for availability in Q3 2026. The capability is designed to provide temporary performance expansion for on-premises storage environments, allowing organizations to absorb workload spikes of up to 25% above baseline levels without permanently increasing subscribed capacity.
Intelligent Control Plane Updates
Everpure is also expanding its Intelligent Control Plane with AI-driven operational capabilities intended to simplify infrastructure management.
Workload Rebalance & Mobility, expected in Q4 2026, will automatically move active workloads across storage resources without downtime to optimize capacity utilization and maintain application performance.
Copilot Workflow Execution, planned for Q2 2026, introduces natural-language orchestration for storage operations, enabling administrators to plan, validate, and execute infrastructure tasks across distributed environments.
Enhanced Cyber Anomaly Detection, also expected in Q2 2026, analyzes telemetry across the entire infrastructure footprint to identify suspicious behavior patterns and coordinated login activity that may not be visible at the individual system level.
Fusion Compliance & Agentic Triage, scheduled for Q4 2026, will monitor hardware and software configurations for policy drift while using AI-assisted analysis to identify potential root causes and remediation options.
Enterprise Data Cloud Roadmap
To support organizations adopting a data-centric architecture, Everpure also introduced its EDC Success Blueprint. The framework provides a structured roadmap for assessing infrastructure readiness, identifying security and operational risks, and progressing toward a more automated enterprise data environment.
The broader strategy is focused on creating a unified data fabric that provides visibility into where data resides, how it is connected, and the business context associated with it. By integrating governance, semantic understanding, and AI-driven operations directly into the data layer, Everpure aims to provide enterprises with a foundation for managing both traditional workloads and emerging AI applications at scale.
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