New Everpure Data Intelligence enables discovery, context, and governance at the source—turning fragmented enterprise data into an automated, AI-ready foundation.
Everpure has announced new capabilities to help businesses accelerate enterprise AI adoption while maintaining visibility and control over their data. With the launch of Everpure Data Intelligence (formerly 1touch.io), the company aims to help organizations turn fragmented data into trusted, AI-ready intelligence.
Historically, enterprise IT relied on an application-centric model that trapped critical data and context inside application silos for specific functions like 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, says Everpure.
“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, adds Everpure.
Everpure Data Intelligence Highlights
Everpure Data Intelligence discovers, classifies, and contextualizes enterprise information at its source. It works on all data, inclusive of the Everpure Platform, public clouds, SaaS applications, and third-party storage. Instead of trapping meaning inside rigid application or hardware silos, Data Intelligence contextualizes 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 maximizes response accuracy while drastically reducing the context windows and token costs.
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Available now, Data Intelligence delivers three core capabilities across an enterprise’s entire estate:
- Universal Discovery: Offers visibility into structured and unstructured data regardless of storage format, including major databases like SQL Server and Oracle, showing exactly where critical application data resides
- Automated Governance: Automatically scans the entire system to identify sensitive info (like PII and PHI) and track lineage, providing a complete map of the data landscape to ensure secure compliance.
- AI-Ready Context: Maps raw data directly to its real-world business definition, creating a semantics knowledge graph. This enables modern AI agents to instantly understand, query, and safely act on information across the entire enterprise.
“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.”
