Applied AI & retrieval
RAG pipelines, answer engines, LLM integration, on-device inference, privacy-first ML. We have shipped AI features users actually rely on — not demos.
// Services
A senior operator, not a slide deck.
We take on selective client work in the areas where we're strongest. Everything we recommend, we've run in production ourselves — because we operate our own products too.
// Capabilities
Where we're strongest.
Distributed systems
High-throughput backends, event-driven architectures, data-intensive services. Designed for the load you have and the load you are planning for.
Full-stack product
From schema to shipped UI, across web and desktop. One team that owns the whole slice, so nothing falls between front and back.
Systems programming
Rust and Go for performance-critical and local-first software — when milliseconds and memory footprints matter.
Cloud & delivery
Kubernetes, Cloudflare, CI/CD, code-signing and update pipelines. We ship the pipeline along with the product.
Ideal-fit engagements
- An AI feature that has to work in production, not just in a demo
- A backend that needs to survive 10× the traffic it was built for
- A product idea that needs a senior team from schema to shipped UI
- Performance-critical or local-first software in Rust or Go
- A delivery pipeline that is slowing every release down
// Engagement model
How an engagement runs.
Fewer meetings, more working software. The same three-step discipline we use on our own products.
- 01
Sharp scope
We define the crux — the one problem worth solving — before writing code. A short scoping phase produces a concrete plan, not a discovery deck.
- 02
Lean build
Small surface area, production quality, no ceremony. Weekly working software over weekly status meetings.
- 03
Ship and operate
We don't hand over a prototype; we run software that stays up — with monitoring, updates, and a clean handover when you're ready.
Stuck on a problem worth solving?
Tell us about it. If we're not the right fit, we'll say so.
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