Private AI

Advanced infrastructure planning, completely private.

Your clients run private models for a reason. OneIQ gives those models what they need to answer infrastructure questions accurately: the client's own environment, plus OneIQ's context libraries. Nothing is sent to a public AI, and the model never has to search the open internet. Everything it needs comes from OneIQ over an encrypted connection.

Why private AI works with OneIQ

Private by design. Accurate at any size of IT environment.

Private, without giving up planning

OneIQ's context libraries bring the reference intelligence planning depends on straight to the model: processor specs, cloud instance options and pricing, hardware and software lifecycle dates. The model never has to wander the internet to make a decision, so the work stays private and the answers stay grounded.

Smaller models, the same quality answer

OneIQ does the heavy lifting behind the scenes. It turns each natural-language question into SQL, runs it, and returns an enriched, lightweight answer in markdown. Models of various sizes, including smaller ones, get consistent and accurate infrastructure planning information, so clients can start small, with less infrastructure investment, and still begin their AI-for-IT journey with a high-value implementation.

Agent Zone
AI Query
Which clusters are closest to running out of memory?
Answer · illustrative
ops-02: 91% committed memory fin-01: 84% all_others: under 70% scope: private model · client-approved
Query completedprivate model · on-premises
In practice

Connect the private AI model they already trust.

OneIQ connects through MCP to any AI model, including one that never leaves the client's environment. The client decides what it may see. Your practice sets up the Agent Zones and the first agents, and each new agent works inside a boundary the client's security team has already reviewed.

What your team can do

  • Same agents, private AI model. Run the lifecycle and capacity agents your other clients use, on the private model.
  • Grow at the client's pace. Add agents one at a time as confidence grows.
  • Keep the work in-house. The client's own model does the work.

Figures in the answer cards are illustrative.