Three ways to engage — from setting strategy to building and hardening the platform yourself. Senior, hands-on, and accountable to what runs in production. Not slideware.
Direction for teams putting generative AI into production safely. We help you decide what to build, what to buy, and what to skip — then set the architecture so it holds up under real usage, real security review, and real budgets.
An embedded senior engineer who architects and builds — the person who owns it from an empty subscription to production. Infrastructure-as-code, secure networking, LLM orchestration, and full-stack delivery, shipped and hardened.
Azure and AWS architecture, IaC, CI/CD, and secure-by-default networking for organizations moving to — or maturing on — the cloud. Audit-ready foundations that stay stable as you scale.
Every engagement follows the terrain, not a template. But the route across usually runs through five waypoints.
Private, zero-public-ingress networking, identity, and secrets — an audit-ready foundation.
Centralized, governed access to models with usage and cost visibility across the org.
Retrieval and agent systems grounded in your data — built to be correct, not just impressive.
Tracing, evaluation, and quality gates so you can see what's happening and what it costs.
Hardened delivery with automated security and quality gates. In production, and staying there.
Most engagements start with advisory and grow into hands-on delivery. A short call is the easiest way to scope it.