Private AI & high-performance infrastructure
For a defined use case, we compare a dedicated AI platform with hosted alternatives: the data it needs, the computing capacity, the expected demand, the cost and who would run it.
First conversation free. Scope and price in writing before any access.
Delivered on Azure, hosted platforms or hardware you own.
Choose where it runsIllustration
Costed firstThe review works out what the workload needs to keep running, and what that costs to own, before any hardware is ordered.
Illustrative sample · constructed example
Illustrative feasibility check · internal document assistant
Decision input
| Requirement | Design implication | Sample review |
|---|---|---|
| Data boundary | Identify whether prompts, retrieved documents or outputs may leave it. | Boundary unknown |
| Task quality | Compare the same questions and documents across eligible options. | Evaluation required |
| Demand and capacity | Measure model memory, concurrent demand and response requirements. | Measurement required |
| Operation and recovery | Name who patches, monitors and restores the platform. | Operating plan needed |
Conceptual design. A private boundary does not establish model quality, affordable capacity or operational readiness.
Illustrative comparison. No procurement recommendation, achieved saving or fabricated capacity result. Design and deployment require separate scope.
Engagement sequence
The review may recommend proceeding, changing the approach or waiting. Platform design, supplier review and deployment testing are agreed separately.
Should this platform be built, bought, hosted, or deferred?
A comparison of platform options, capacity needs, estimated costs and operating responsibilities before you invest.
Discuss this projectWhat production design can carry the workloads, data, identities, and operating model?
A system design showing data flows, access controls, connections and operating responsibilities, with reasons for the key choices.
Discuss this projectDoes the proposed capacity, contract, and partner responsibility match the design?
A supplier review covering cost assumptions, missing requirements, exit options and the tests required before sign-off.
Discuss this projectDid the delivered platform meet the approved design and production threshold?
Deployment records, performance test results, outstanding issues and a recommendation on whether to accept the platform.
Discuss this projectThe architecture review
We review how the platform would use your data, connect to other systems, control access and operate day to day. Expand the list to see the ten areas covered.
Workload, success measure, service level, and investment threshold.
Policy boundary, risk owner, data obligations, and approval path.
Who runs the platform, the support included, operating instructions and who approves changes.
Model quality, drift, telemetry, cost, safety, and acceptance evidence.
Workflows, agents, APIs, queues, failure modes, and human control points.
Model mix, runtime, portability, licensing, and platform exit conditions.
Training and inference demand, GPU topology, thermal envelope, and growth headroom.
Sources, residency, lineage, storage IOPS, retrieval, retention, and recovery.
Role-based access and isolation for people, services, agents, and privileged operations.
Segmentation, RoCE or InfiniBand fabric, ingress, egress, and trust boundaries.
What we need from you
Bring a defined use case or workload, an executive sponsor, and an internal technical owner. Existing architecture, capacity estimates, or supplier proposals provide a useful starting point.
The scope states the inputs, assessment methods, assumptions, deliverables, fixed fee, and acceptance criteria. AZ Innovations is responsible for the architecture and delivery coordination agreed in the scope. Licensed engineering and specialist trade work is performed by qualified delivery partners where required.
How a project runsHow you know the work is good
The method is written down, the sample records open and the demo can be broken on purpose. Read it the way your technical owner would.
A first conversation, free. An agreed scope with a named technical lead in the proposal. The price fixed in writing before we are given access. Checks before handover.
How we workRelease checks, access test matrices and ownership maps. Constructed inspection records on the service pages show the standard before you buy.
See sample deliverablesA System guide: what was agreed, what changed, what was tested and what remains open. With it, the scripts and check results behind the work.
Before procurement
Share the AI use case, supplier proposal or capacity question, and your deadline. We explain what information is needed to compare the options.
First conversation free. Scope and price in writing before any access.
