Everpure Puts Data Primacy at the Center of Its AI Stack

At Pure Accelerate 2026 in Las Vegas, Everpure announced two products — Everpure Data Intelligence and Everpure Data Stream — that extend governance, semantics, and AI ingestion across its data-management architecture.

The two launches support Everpure’s broader argument for data primacy. Instead of allowing individual applications to own the information they create, Everpure proposes a shared data layer in which context, governance policies, privacy controls, and lifecycle requirements remain attached to the data.

CEO Charles Giancarlo framed the architectural shift directly: “Enterprises that do not shift from app-centricity to data primacy will fall behind.”

Data Intelligence Moves Context to the Source

Everpure Data Intelligence, the rebranded product formerly known as 1touch.io, operates across the Everpure platform, public clouds, SaaS applications, and third-party storage.

It delivers three capabilities: Universal Discovery across structured and unstructured data; Automated Governance that identifies PII and PHI and tracks lineage; and AI-Ready Context that maps raw data to business definitions in a semantic knowledge graph. Feeding agents accurate, contextual data reduces context-window size and token cost.

Matt Kimball, VP and principal analyst at Moor Insights & Strategy, said the “biggest bottleneck to AI adoption right now isn’t the software, it’s the plumbing.”

Data Stream Wires Enterprise Data Into NVIDIA Pipelines

Everpure Data Stream is built on the NVIDIA AI Data Platform reference design and uses a GPU-accelerated pipeline from ingestion through inference.

The company says it compresses raw data preparation from months to minutes, enforces stream-level access controls that keep data inside the corporate network, and scales storage and compute independently.

Data Intelligence exposes relationships to models through APIs and Model Context Protocol, and applies attribute-based access controls to AI workloads.

Everpure is also developing next-generation AI-native storage with NVIDIA using the Vera BlueField-4 STX processor.

Robert Lee, Everpure’s CTO, called the winning AI architecture “a unified platform that allows businesses to start small with immediate use cases and seamlessly scale to exabyte capacity.”

The Intelligent Control Plane Extends Beyond AI Ingestion

Everpure has a broader roadmap for its Intelligent Control Plane.

The company listed Copilot Workflow Execution and Enhanced Cyber Anomaly Detection as available in the second quarter of 2026. Copilot Workflow Execution is intended to let administrators initiate infrastructure workflows through natural-language instructions, while anomaly detection correlates activity across systems to identify coordinated threats.

Evergreen//One Overdrive is planned for the third quarter. The capability would let customers temporarily operate as much as 25% above their baseline performance level during demand spikes without permanently increasing their subscription commitment.

Workload Rebalance and Mobility, Fusion Compliance, and Agentic Triage are planned for the fourth quarter. Those capabilities would support nondisruptive workload movement, configuration and policy enforcement, and AI-assisted investigation of infrastructure problems.

What This Means for SAPinsiders

• Data primacy changes who owns AI readiness. Everpure’s model shifts responsibility from individual applications toward a shared data layer. Infrastructure, governance, and AI teams therefore become jointly accountable for the context and controls surrounding enterprise data.
• Semantic context becomes an operating-cost lever. Data Intelligence links business meaning to raw information before models retrieve it. If that reduces context-window size, data architecture can influence token consumption alongside model choice and usage policy.
• The control plane raises the stakes. Everpure’s roadmap moves from data visibility toward automated workflows, anomaly response, and workload mobility. As those capabilities expand, enterprises will need stronger approval, audit, and rollback controls around infrastructure actions.