Start with the user.
Not the model.
AI architected for security, reliability and endurance — built on AWS the way regulated systems should be, with the controls in the architecture, not bolted on after.
Three things we don't negotiate.
Teams shaped by the problem.
Every engagement has a different shape. We assemble senior practitioners around your specific challenge — not the other way around. No bench, no juniors learning on your dollar, no template solutions in search of a problem.
Security and compliance, by design.
Not bolted on later. We work across SOC 2, ISO 27001, GDPR/CCPA, HIPAA, NIST AI RMF, and the EU AI Act — with active deployments in EU healthcare. The compliance posture is part of the architecture from week one.
A six-week foundation, then real delivery.
Every engagement opens with a structured workshop — Discover, Decode, Define — and produces the Corteqs Report, the artifact that drives what we build. No vague statements of work, no proposal theatre.
The six-week foundation.
- DiscoverWeeks 01 — 02
What's actually true about your problem. We talk to your users, audit the existing systems, and surface the constraints nobody wrote down. The brief you arrive with is rarely the one you leave with.
- DecodeWeeks 03 — 04
Where AI fits — and where it doesn't. We map the failure modes, regulatory surface, and integration cost. Some problems get a model. Some get something simpler, cheaper, and easier to defend.
- DefineWeeks 05 — 06
The architecture, the team shape, the path to production. Evaluation criteria, security model, and a sequenced rollout — specific enough to start building from on Monday.
The Corteqs Report.
One artifact. Architecture, risks, evaluation framework, compliance map, recommended team shape, and a sequenced delivery plan. It's what we build from — and what you own when we're done.
- AudienceWho the AI actually touches
- RoleWhere AI sits in the work
- SuccessThe metric that would move
- RiskWhat being wrong costs
- OwnerWho's accountable when it's wrong