01Most teams start here
Diagnostic Sprint
2 weeks · fixed price
Best for: You need a clear picture and a roadmap before committing budget.
- Architecture, cost, and security review
- AI / ML readiness score
- Prioritized roadmap with ROI estimates
What we do
Built to ship.Yours to keep.
We take AI, cloud, data, and infrastructure to production standards, down to the hardware it runs on, with success measured in numbers you agree before we start. Then we hand it over, and your team owns it.
30–60%cloud spend removed on optimized workloads
2 weeksto a prioritized roadmap with ROI estimates
11disciplines, from model to rack, one accountable team
100%yours: code, accounts, runbooks, and the know-how
Start with the problem
Where are you stuck?
Pick the sentence that sounds like your team. Each one leads to the service that solves it and the engineers who have solved it before.
Three ways to start
Low-risk first step. Real outcomes after.
Every engagement begins with numbers, not slideware. Start small, see the roadmap, then decide how far to go.
02
Build & Ship
6–10 weeks · milestone scoped
Best for: You know the initiative and want it in production, hardened and documented.
- Production infrastructure and CI/CD
- Security review and observability
- Runbooks, handover, 30-day hypercare
03
Embedded Partnership
Monthly retainer
Best for: You want senior engineers on your team without hiring a bench.
- Dedicated senior engineers
- Weekly syncs, quarterly reviews
- No change orders, priority SLA
Full detail on scope and pricing on the pricing page →
The catalog
Eleven disciplines. One accountable team.
Each service has its own page with scope, stack, and outcomes. Start with the one closest to your problem.
Why AzeniQ
What you get that a slide deck can't promise.
01
Metrics before code
Accuracy, latency, cost per request, and hallucination rate are defined and measured before the first production commit.
02
You own everything
We build on your accounts and repos. Code, infrastructure, runbooks, and the know-how stay with you when we leave.
03
Senior engineers only
No bench, no juniors learning on your budget. The people on the intro call are the people doing the work.
04
A fixed-scope first step
The Diagnostic Sprint is fixed price and two weeks. You get a roadmap either way, and no obligation to continue.
05
Security by default
Short-lived credentials, policy as code, SBOMs, and an audit trail, so GDPR and CCPA reviews start from evidence.
06
From model to rack
Cloud, on-prem GPU, edge, and the physical hardware underneath. One partner is accountable for the whole system.
How an engagement runs
Designed to leave you stronger.
De-risk fast, prove it with numbers, engineer for production, then hand over. Every phase ends with something you keep.
- 01Weeks 1–2
Discover
Architecture, cost, and security review. Success metrics agreed in numbers.
You keepRoadmap with ROI estimates
- 02Weeks 2–4
Prove
A focused proof of concept against the metrics, with an evaluation harness that scores every change.
You keepGo / no-go on evidence
- 03Weeks 4–10
Build
Hardened infrastructure, CI/CD, observability, and a security review, on your accounts.
You keepProduction system, documented
- 04Ongoing
Own
Runbooks, handover sessions, and 30 days of hypercare. Stay embedded only if you want to.
You keepYour team runs it
Before the first call
The questions every buyer asks.
How do we start?
A 30-minute intro call, then a two-week fixed-price Diagnostic Sprint. You leave with an architecture, cost, and readiness review plus a prioritized roadmap, whether or not we work together afterwards.
Who owns what you build?
You do, from the first commit. We work in your cloud accounts and repositories, and every engagement ends with runbooks and handover sessions so your team can run and extend it.
Do you work alongside our engineers?
Always. Your engineers are in the room for design decisions and pairing, because the goal is a capability that stays in-house, not a dependency on us.
Which clouds and models do you support?
AWS, Azure, and GCP, plus on-prem GPU and Mac Studio clusters and edge devices. We are model-agnostic: Bedrock, SageMaker, open models through Ollama and vLLM, or a mix routed by cost and accuracy.
How do you handle security and compliance?
Short-lived credentials, least privilege, policy as code, SBOMs, and an audit trail are defaults. We sign NDAs before discovery and design for GDPR and CCPA from the start.
Do you handle disaster recovery and multi-region?
Yes. We design and build multi-region active/active and warm-standby architectures with RPO and RTO targets agreed up front, and we rehearse failover on a schedule so it works when it matters. DR planning is part of every Cloud-Native Transformation engagement.
How long until we see something working?
A measurable proof of concept usually lands within the first two to four weeks. Full production builds typically run six to ten weeks depending on scope.
Next step
Ready to build the future together?
Tell us where you're headed. We'll map the fastest secure path from idea to production.