What Am I Selling?

A turnkey private-AI platform — Generate — that runs natively on the NetApp AIPod Mini and ONTAP, and vectorizes the data a customer stores into a governed, on-prem intelligence layer that employees and AI agents can query and act on, with zero data egress.

“You’ve spent years storing your data. Generate, powered by NetApp’s AIPod Mini, lets you run AI directly on it — inside your own walls, with no data leakage, no variable per-token cloud bill, and a working AI infrastructure stack deployed within hours. Same storage you already trust, now answering questions and running agents.”

Every enterprise wants to use AI to query its own documents, records, and databases — but the default path sends sensitive data to an outside provider, racks up unpredictable token costs that scale with usage, and runs on unauditable infrastructure the customer does not control. Generate removes all three problems: the model runs inside the confines of a customer-controlled data center, cost is predictable, and the customer has full security and auditability.

Two forces are converging. Risk: legal, security, and compliance teams are blocking the use of public AI for any data containing PHI, PII, financials, or IP. Cost: as teams move from pilots to production, per-token bills scale linearly and unpredictably. Running inference on-prem turns a rising variable cost into one with no limit on the number of users or queries.

Those are great for general productivity, and general answers can be used in parallel.

Public AI is metered per token; cost climbs with every user, agent, and document — and agentic workloads burn tokens far faster than chat. Generate’s inference runs on GPUs the customer owns, so cost is fixed to capacity, not usage. In a world of rising token prices, owning the inference engine is a financial hedge. The scale that breaks a metered cloud budget is exactly where on-prem wins.

Most enterprise data is dark — stored, protected, never queried. Generate makes it answerable. A contract repository becomes a contract-analysis agent. A claims archive becomes a denial-recovery agent. An IT knowledge base becomes an incident-response agent. Stored data stops being a pure cost center and starts producing measurable output — hours saved, revenue recovered, risk reduced — without moving a single byte.

Three things, and they compound:

• Private by architecture. Inference runs where the data lives — zero egress, no exceptions.
• Turnkey. One installer, three steps, less than 2 hours. Not a 12-month build.
• Deeply integrated with NetApp. The only agent platform this tightly wired into ONTAP at terabyte scale. Competitors have a chat box; we have a vectorized NLP plugged into NetApp’s data services.

It converts stored capacity into an active business outcome. Every terabyte in ONTAP becomes a reason to deploy AI on top of it — a named, budgeted line item that pulls storage and GPU with it. And it is a conversation you can have with a CFO or a department head, not only with IT. The buyer is closer to the budget, and the outcome is closer to the dollar.