Architecture, engineering, and on-demand capacity.

Architecture & Design

AI systems design from first principles

Entry:

Architecture engagement

We design agent protocols, data flows, inference topology, and integration architecture before any code gets written. The output is a working spec — decisions recorded, dependencies explicit, tradeoffs argued — not a slide deck.

• A system designed to survive real load and real data
• OSS-first component selection, argued and documented
• Specs and diagrams your team owns without calling us back

Engineering

We build what we design

Entry:

Engineering retainer or project

Full-stack AI engineering: agent crews, RAG pipelines, sovereign inference infrastructure, open-source integrations. Shipped to infrastructure you control, in repos your own engineers can read and extend.

• No gratuitous vendor dependencies baked into the build
• Deployed to infrastructure you own, not a managed black box
• Code your engineers can maintain the day we leave

On-Demand AI Architects

Principal-level technical capacity when you need it

Entry:

Sprint or monthly block

Embedded, async-first technical capacity — architecture reviews, PR reviews, hard-problem pairing, technical diligence on vendors and models. Not hourly contracting; senior judgment, on call.

• Design debt caught before it ships, not after
• Decision support on the hard systems problems
• Independent diligence on AI vendors, models, and infra