Strategy, engineering, and deployment for organizations putting frontier AI into production — from first prototype to systems serving millions.
Most AI initiatives stall in the gap between a promising demo and a reliable system. We close that gap — designing the architecture, building the evals, and standing up the infrastructure that makes intelligence dependable at scale.
Four disciplines, one engagement model. We embed with your team and ship.
Roadmaps, build-vs-buy, model selection, and governance. We help you decide where AI actually moves the needle — and where it doesn't.
Retrieval, fine-tuning, eval pipelines, and ML infrastructure. The unglamorous work that turns a demo into a dependable product.
Autonomous workflows, tool use, and orchestration with human-in-the-loop guardrails. Agents that do real work, safely.
See the engines → 04Observability, cost optimization, and reliability engineering so your systems hold up under real load and real users.
The real-time enterprise →A retrieval platform for a global law firm. An eval harness for a fintech's underwriting models. A fleet of internal agents for a logistics operator. Quiet systems, measurable outcomes.
We're a small team of engineers and researchers who like hard problems and shipped systems. If that's you, we should talk.
View Open RolesTell us what you're trying to ship. We'll tell you how we'd approach it — no pitch deck required.