AI is powerful.
Humans still call the shots.
We engineer the systems between — practical AI and high-performance code for teams that still trust humans to make the calls.
What we work on
Three things we go deep on — and we will take any problem that needs real engineering.
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AI Cost Reducer
Booking nowYour LLM bills are out of control. We audit your inference path end-to-end, find the waste, and bring costs back to earth — usually 40 to 70 percent down without losing quality.
- Inference cost audit & instrumentation
- Routing, caching, and model-tier optimization
- Dashboards & guardrails that prevent the next blow-up
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AI Agent Automation
Booking nowProduction-grade agents, not demos. We design and ship agents that reliably take work off your team — with the right tool integration, human-in-the-loop, and observability built in from day one.
- Agent architecture & tool/protocol design
- Workflow integration (CRM, ERP, internal APIs)
- Reliability, evals, and human review loops
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Critical Core Systems
Booking nowThe systems your product cannot afford to fail. We design and build the high-performance, secure, reliable engines underneath — usually in Rust, always engineered to the level the problem deserves.
- High-performance services & hot-path rewrites
- Secure-by-design backends & infrastructure
- Reliability, observability, and operational hardening
How we work
Small lab, grown-up process.
- 01
Listen
A short call to understand the problem, the constraints, and what “done” actually looks like. We say no early if we are not the right fit.
- 02
Scope
A written proposal: deliverables, timeline, price, and the assumptions behind them. No surprises, no hourly meters running.
- 03
Ship
We build it, ship it, and stay involved long enough to measure that it actually moved the metric you cared about.
What we believe
Opinions we are willing to defend in production.
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Real engineering over LLM duct tape.
Most "AI features" today are a prompt and a prayer. We treat AI like the systems engineering problem it actually is — with evals, instrumentation, and architecture you can defend.
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Performance is a feature.
Slow software costs money, attention, and user trust. When the inner loop matters, we reach for Rust and design for the budget the system actually has.
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Local-first, when it matters.
Some workloads belong on your servers, some on the user's machine, some neither. We pick where compute lives based on privacy, latency, and cost — not on what is fashionable.
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AI augments. Humans decide.
We build systems that make humans faster and sharper — not systems that pretend to replace the judgment a human still has to take responsibility for.
Have a problem worth
engineering properly?
We are a small, opinionated team. We take a few projects at a time and stay involved until the metric you cared about actually moves.