The foundation for AI-native systems.

Architecting scalable AI infrastructure, intelligent workflow systems, and foundational cloud automation platforms for the next computing paradigm.

Illustrative workflow: an event is planned, handed to a model and tools, then delivered.

What we build

Three connected focus areas. Each stands on its own and is designed to compose with the others.

Serving, orchestration, and evaluation layers that take models from experiment to production without rebuilding the stack each time.

Applications

Orchestration and evaluation

Inference and compute

Event-driven workflows that combine models, tools, and human review, with every step observable and replayable.

Declarative automation for provisioning, scaling, and operating cloud environments, so infrastructure behaves like software.

Commitments that shape every system, from the first design document to production.

Composable by default

Small, well-defined components that fit together, so teams adopt what they need and nothing more.
Observable end to end

Every request, decision, and action leaves a trace you can inspect, replay, and explain.
Built to scale

Designed for production load and cost from the first commit, not retrofitted later.
Open where it counts

We share code and writing in public so others can build on our work and check it.

We publish code, writing, and updates in public. Start wherever suits you.

Book a 30-minute call to talk through what you're building, or browse the code and writing first.