The AIPod Mini puts storage and private AI in one appliance — so the intelligence comes to your data, not your data to someone else’s cloud.
The AIPod Mini is a unified platform from NetApp and Iterate.ai with governed storage (NetApp ONTAP®, where your records already live) and a private AI platform (Generate by Iterate.ai®) to activate your stored data. It’s turnkey. It ships with a private chatbot that answers questions. It also ships with agents — digital employees that do real work, beyond just answering questions.
Most of what your company knows sits in dark storage — 80–90% of enterprise data, from emails to contracts to transcripts, never read at scale. The AIPod Mini reads it where it sits, with no data movement, and reaches your live systems too. One question spans both.
Databases, apps, CRM, tickets, logs — the systems your business runs on, in real time. This platform activates all that stored data to become a live system driving agents for real work and fast actionable results. Nothing goes to the cloud, it’s all here in a single box.
Generate is a private AI platform that runs fully inside a company’s own infrastructure — the models, the retrieval layer, and the vector database all live where the data already lives, instead of the data traveling out to a public model. Nothing about the security perimeter changes, and nothing leaves the environment to get an answer.
An AIPod Mini earns its place in your office for four reasons.
Generate reads the dark 80–90% in place and answers across it — knowledge that used to leave when a company’s “single points of failure” resigned. Stored on NetApp, it’s reachable now through the AIPod Mini’s ONTAP integration.
Nothing leaves ONTAP, so nothing trains an outside model. SnapLock logs every access as an audit trail a regulator can read. That is control, not just cost.
73% of enterprises blew past their AI budgets in 2026, and agentic work runs 5–30× the tokens of a basic query. A box you buy once replaces a bill that meters every query; one national beauty retailer cut AI processing cost ~95% running the same models in place.
No data has to move and the connectors are pre-built, so a first agent — a digital employee, pre-packaged in the box — stands up in minutes, not the weeks or months a migration takes.
Healthcare, finance, and government feel all four reasons first. Keeping data on-site, proving every access, and fixing the cost is often the difference between shipping an AI project and shelving it. Start with one use case, run a 30-day proof of value, and measure the result.
One question reaches both universes at once — the live systems your business runs on, and the archive it has been quietly filling for years. Generate runs inside the box and reads them where they sit.
Full series — iterate.ai/partners/netapp/private-ai-education-and-certification-program