AI services built for production,not for the demo.
Six service lines, each a standing practice with an engineer who owns it end to end. If what you need isn't here, we'll say so and point you elsewhere.
Turn repetitive operational work into monitored pipelines.
We map the processes your team runs by hand, then replace the rule-shaped and model-shaped steps with automated pipelines that keep an audit trail, and leave a human in the loop wherever the cost of being wrong is high.
Ship one product into every market without a release train per locale.
We wire string extraction, translation and reintegration into the same pipeline that builds your product, so a new locale becomes a build condition rather than a separate project with its own timeline.
Machine translation you can put in front of customers.
We pair engine output with an LLM post-edit pass against your terminology and tone, then score every segment so reviewers open only what actually needs judgment, and their corrections improve the routing.
We derive coverage from the paths users really take, treat flake as a defect rather than weather, and deliver failures with a reproduction attached so triage becomes a decision instead of an investigation.
Model-backed features built like the rest of your product.
Retrieval with a freshness contract, prompts under version control, evals that block a bad merge, and cost and latency instrumented from the first deploy. These are the parts that decide whether a feature survives its first quarter.
Internal tools for the workflow your team actually has.
Review queues, annotation surfaces, operations consoles and model-assisted internal search, scoped to one workflow, built to be boring, and handed over with the source so it never becomes a dependency on us.
From first call to productionin weeks, not quarters.
Four stages, in this order, on every engagement. The order matters more than the speed. Most of what goes wrong in this work goes wrong because someone built before they watched.
01Week 1
Discovery
We map the process as it actually runs, agree what success looks like in writing, and identify the constraint worth removing first.
hands over
Process map
Written definition of done
Fixed scope and quote
02Week 1–2
Architecture
We design the system around your stack, data residency rules and release cadence, then review the plan with your engineers before writing anything.
hands over
Technical design
Integration plan
Risk and cost model
03Week 2–8+
Build
Two-week cycles with something demonstrable at the end of each. The narrowest useful version reaches production early and is instrumented from the first deploy.
hands over
Working software in your repo
Tests and CI
Fortnightly demos
04Ongoing
Deploy & hand over
Production rollout with monitoring, a runbook, and a support window while your team takes ownership. An optional retainer follows only if you want one.
hands over
Deployment and monitoring
Runbook and docs
Handover session
Starthere
Tell us the process,not the solution.
The most useful first message describes what someone on your team does by hand today and how often. That is enough for us to tell you whether it is worth building.
What happens next
A named engineer reads it, not a form inbox
Reply within 24 hours, even if we're not the right fit