AI & automation
Retrieval pipelines, agent workflows and document automation with the evaluation harness that keeps them honest once real users arrive.
Most AI projects die between the demo and production. The demo works on ten curated examples; production has ten thousand messy ones, a latency budget and a compliance review.
We build the unglamorous parts: retrieval that returns the right chunk, evaluation suites that catch regressions, guardrails, fallbacks and cost controls. We are equally happy telling you a rules engine would be cheaper and more reliable than a model.
Everything runs on infrastructure you control, with the model provider as a swappable dependency rather than a lock-in.
What you get
Deliverables
- Production AI service with monitoring
- Evaluation dataset and scorecards
- Prompt and pipeline versioning
- Cost model and scaling plan
Have something that needs to exist?
Send the brief. You get a scoped response with pricing, a delivery plan and the names of the people who would build it — within two working days.