Your AI Advantage Is Already in Your Data. Everpure Unlocks It

A unified data foundation is only worth it if you can run it efficiently. And running it is exactly where most teams run into Storing and governing data is necessary, but it’s no longer enough. The bigger, more relevant challenge is understanding the data you have. For decades, that understanding lived inside the applications that created it. The ERP knew what finance meant; the CRM knew what sales meant. As data spread beyond those applications, its meaning didn’t come with it. So today, most organizations can’t answer the most basic questions about their own data—what they have, what it means, who’s using it, and whether AI can trust it. And infrastructure, application, and security teams each see only their slice. That semantic sprawl is exactly why AI so often returns poor results at high cost.

Universal data intelligence closes that gap. It provides the enterprise context AI can trust, so you can go from finding data to understanding it, and then making it ready for AI to act on. It does that in three ways: reaching broadly, across all your data wherever it lives; going deep on the data Everpure manages; and turning understood data into AI-ready data. The result is data that’s discovered, classified, understood, and AI-ready.

Figure 1: Everpure Data Intelligence delivers the context needed for AI success.

Shift from finding data to understanding it

Every leader building AI is working the same short list: 

• Keep data secure and governed
• Hold down cost
• Stand up agents that actually finish tasks
• Scale from pilot to production without re-architecting 

None of it is decided by the model. Your data decides it. Point the smartest model on the market at data that’s scattered, unclassified, and stripped of context, and it gives you confident, well-worded nonsense.

Context on all the data you own

So the work starts with your data: find and catalog all of it, across every system you own, structured and unstructured, down to the mainframe. Then understand what’s relevant and how sensitive it is, and get it ready for the agents and AI factories that will put it to work. Everpure™ Data Intelligence (formerly 1touch) does this across your entire estate from applications to analytics to agents, through three capabilities:

Discovery and cataloging

Everpure Data Intelligence discovers data across your entire estate, from on-premises databases like SQL and Oracle to public clouds, SaaS applications, third-party storage, and even mainframes, without installing software on a single source. That estate-wide reach is the whole point: It sees all your data, connecting structured and unstructured data regardless of format or vendor, so nothing critical stays invisible to the business.

Classification

It scans the entire estate to identify private and sensitive information like PII and PHI, tracks lineage, and uses AI and ML to go beyond compliance tags into broad classification, giving you a complete, governed map of your data landscape.

Semantic knowledge graph

It maps raw data to its real-world business meaning, building a multidimensional semantic knowledge graph, so an AI agent doesn’t just locate a customer record; it understands that record’s relationship to purchase orders, geography, and sales channels. Feeding agents only relevant, contextualized data sharpens accuracy while shrinking context windows and token costs.

Go deep on the data you already manage

Broad context across everything you own is one half of the story. Going deep on the data Everpure manages is the other. Pure1® application intelligence runs natively inside the array as part of Purity, so it needs no agents, no collectors, and no extra infrastructure at all. It reads what’s already on your storage, inspecting the contents of each LUN, the logical block of storage an application reads and writes to, and using signature detection to identify the application living on it. That approach is unique in the industry on primary storage, and it’s already running across thousands of arrays. It provides the following:

• Automatic discovery: It detects MS SQL, Oracle, SAP HANA, and more straight from LUN content, with nothing to deploy and nothing to configure by hand.
• Application visibility: Storage, application, and security teams finally work from the same accurate picture of which critical workloads run, how much capacity they consume, and what the data inside those volumes actually looks like—without the need for third-party tools.
• Security posture mapping: It maps every application to its volumes, cross-links into the Protection Assessment, and flags where protection falls short, so gaps turn into action before they become incidents.

What sets Everpure apart

Everpure Data Intelligence brings the deepest semantics in the market, a layered ontology that reaches down to the physical representation of data, so you understand what your data actually is, not just where it sits. Pure1 application intelligence adds the storage-aware view, tying that meaning to live telemetry from the Intelligent Control Plane so you see the data and the infrastructure beneath it as one picture. 

Together, they build a single connected view across everything you own, on-prem, cloud, SaaS, and mainframe, without forcing your data into Everpure first. This universal context is what makes AI useful in the enterprise rather than a costly experiment. We’re making sure AI runs on data you actually understand and trust.

Figure 2: Everpure delivers for you wherever you are on your AI journey.

Go from messy data to AI-ready data

While important, understanding your data is only half of the problem. The other half, preparing data for AI, is where most enterprise effort goes—and where most projects stall. Everpure™ Data Stream is built to clear that barrier. It automates the path from raw enterprise data to vectorized, governed, AI-ready data. Data Stream helps you:

• Compress data prep from weeks to minutes: Automated ingestion and vectorization turn the data you already store into AI-ready data, clearing the bottleneck that strands most AI projects in pilot.
• Free your team from manual data prep: Data Stream automates what’s a slow, hands-on process today, so your people spend their time building AI instead of wrangling data to get it ready.
• Ground AI in current, trusted enterprise data: Built-in, low-latency semantic search lets your applications and agents work from live, governed data instead of stale copies.

Data Intelligence reaches out across your whole estate, application intelligence reaches in on the data Everpure already manages, and Data Stream turns what you understand into AI-ready data. Together, they give your data both the context AI can trust and the form AI can use.

One platform that stores, governs, and understands your data

The shift from applications to data is already underway. The good news is that you already own the thing that sets you apart: your data. What you’ve lacked is a way to unlock it without first hauling it somewhere new. That’s the test the winning AI architecture has to pass. It won’t ask you to move everything into yet another proprietary silo; it will understand all your data, wherever it lives.

That is the bar Everpure is built to clear, and it changes who wins. The enterprises that thrive will be the ones whose data is stored, governed, and understood as a single system, ready for whatever they ask of it next. That’s what universal data intelligence completes, and what the Enterprise Data Cloud delivers. To see the foundation underneath it, read the companion posts on the Unified Data Plane and the Intelligent Control Plane.