Embedded Context

Ship AI features that know your customers' infrastructure.

Your customers want AI features that understand their infrastructure. OneIQ supplies that understanding, so you ship products without having to build a governed, infrastructure-to-context engine.

Your product, your brand, OneIQ underneath.

Talk to us about embedding OneIQ

The shift

Add AI features without building the layer underneath.

AI features that know nothing about the customer's environment give generic answers, like a firmware update for hardware retired last year. Making them specific means collecting, normalizing and governing infrastructure data across every platform your customers run. OneIQ does that work underneath, so your engineers build the features customers pay for.

OneIQ API

Request from your product

Capacity planner: lifecycle and capacity context for Acme Corp, cluster prod-02

Context returned · illustrative

customer: Acme Corp
hosts: 12 · headroom: 22%
leaving_support: 3 hosts in March
firmware_below_minimum: 2
scope: Acme Corp only · read-only

Context deliveredshown in your product · logged

In practice

Present, but not visible

Your product asks the question, OneIQ supplies the governed context through an API, and your product gives the answer inside your own interface. The customer relationship, the brand and the roadmap stay yours.

What your team can do

Smarter recommendations. Your optimization engine asks OneIQ about lifecycle and capacity, so every recommendation starts from current facts.
Context for what already ships. Add lifecycle, capacity and cost context to features you already have.
Governance built in. Each customer's data stays in its own scope and every query is recorded, without building that control yourself.

Figures in the answer cards are illustrative.

Let's talk

Tell us what you're building.

Whether it is one AI feature or a product line, the first conversation is the same: what you are building and what context it needs.

Talk to us about embedding OneIQ