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AzeniQ

How we build

The work changes.The standard does not.

Every engagement, whatever the industry, ships on the same reference stack with the same gates. That is why the first workload lands in weeks and why the ones after it land faster.

Talk to an architectThe infrastructure beneath it
The reference stack

Six layers. Guardrails against every one.

Agents and applicationsBedrock agents, assistants, n8n automations, product APIsGuardrailsinput and output guards · scoped tools · human approval · auditModels and MLOpstraining, evals, registry, fine tuning, progressive rolloutDatapipelines, lakehouse, streaming, contracts, lineageCloud and DevOpslanding zones, EKS and ECS, GitOps, observability, FinOpsHardwareGPU racks, workstations, edge nodes, small data centers
A request travels the whole stack and back. The dashed rail is the guardrail layer: it crosses every tier, not just the model.

  • One stack, every placement

    The same layers run in your cloud account, on your racks, or at the edge, so a workload can move without a rewrite.

  • Guardrails are structural

    Identity, scoped permissions, approvals, and audit sit beside every layer, so an agent can do only what it is supposed to do, and nothing more.

  • Built to be handed over

    The stack is assembled from tools your engineers can hire for: Terraform, Kubernetes, MLflow, vLLM, not a proprietary black box.

From signature to production

Live in weeks, not quarters.

  1. 01Weeks 1–2

    Diagnostic Sprint

    Fixed price. Architecture, cost, and readiness review. You leave with a roadmap and ROI estimates whether or not we continue.

  2. 02Weeks 3–4

    Foundation live

    Identity, landing zone or rack, pipelines, and observability stood up. The platform exists before the first feature does.

  3. 03Weeks 5–10

    First workload in production

    One high value workflow shipped end to end, measured against the numbers agreed in the sprint.

  4. 04Ongoing

    Compound

    Each new workload reuses the same platform, so the second ships faster than the first and the third faster still.

Release controls

Nothing ships on a promise.

The gates below are not aspirations; they are the definition of done on every engagement.

  • Everything as code

    Infrastructure in Terraform, policy as code, prompts and eval sets versioned beside the application.

  • Tested before trusted

    Unit, integration, and eval suites gate every release. A model change is a release like any other.

  • Progressive delivery

    New versions prove themselves on a slice of traffic; automated rollback pulls them back the moment metrics dip.

  • SBOMs and provenance

    Every image carries a software bill of materials, so a vulnerability is a query rather than an investigation.

  • Observable by default

    Metrics, traces, logs, and model quality dashboards exist from the first deploy, not after the first incident.

  • Audited end to end

    Every action by a person, a pipeline, or an agent is in a tamper evident trail you own.

The handover

Finished means yours.

  • Your accounts, your repositories, your keys, from the first commit
  • Runbooks for every operational task we performed while building
  • Architecture records that say why, not just what
  • Handover sessions with the engineers who will run it
  • An exit that is confirmed in writing: access revoked, copies deleted
Next step

See the standard applied to your initiative.

A 30 minute call, then a two week Diagnostic Sprint with numbers you can take to the board.

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