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Occasional, engineering-led notes on applied AI — what we're building, running, and learning in production.
Occasional, engineering-led notes on applied AI — what we're building, running, and learning in production.
We're an AI engineering company. We design, build, and run production AI systems — and stand behind every one of them.
Make production AI practical for teams that need working systems, not demonstrations. We turn clear operational problems into model-backed software, measurable interfaces, and infrastructure that can be maintained after launch.
A future where useful AI is understandable, inspectable, and available to more than the largest companies. That means straightforward APIs, honest limits, predictable costs, and engineering ownership from first request through production operations.
Production ownership, explicit tradeoffs, and evidence you can inspect.
We operate the model endpoints and systems we ask customers to depend on.
Published rates, explicit scopes, and observable system behavior replace vague promises.
The people who scope the system remain accountable through implementation and launch.
We document limitations, keep human review where it matters, and do not invent proof.