// versioning
Prompts in a real repo with diffs, reviews, and rollbacks — not a SaaS textbox someone edits at 3pm.
llm ops, done by people who run them.
Engineering services for teams shipping LLM features into real products. We help you put prompts under version control, get evaluation into CI, instrument your model calls, and keep a lid on the bill — using your stack, on your timeline. We don't sell a SaaS; we sit next to your team for an engagement and ship the work.
// evaluation
Frozen test sets, side-by-side outputs, replay-on-PR. The model upgrade stops being a leap of faith.
// observability
OpenTelemetry-native traces of every call, shipped to your existing backend — Datadog, Honeycomb, Tempo, whatever's there.
// engagements we run
Pick one to start with; most teams stack a couple over a quarter.
// audit
Two-week read of your current LLM surface area: prompts, eval coverage, cost hot-spots, rollback story. Out the back: a written report and a prioritized backlog.
// roll-out
We build the versioning + evaluation harness on your repo and CI, then sit with your team while the first model swap goes through it.
// cost & latency
Routing rules, caching, model tiering, and a real measurement story so “cheaper” means a number on a chart, not a feeling.
// on-call retainer
A monthly window where we triage the “the model started doing this last week” tickets nobody on your team has time to chase.