AI engineering for systems that run without a human watching
A demo that works once is not an AI product. Production AI needs retrieval that returns the right document, evaluation that catches regressions before customers do, cost controls that survive a traffic spike, and a defined answer for what happens when the model is wrong — because it will be. We build AI as software: versioned prompts, measured accuracy, bounded spend, logged decisions and a human path out.
Outcomes, not activity
- A measured accuracy baseline, not a demo that worked in the meeting
- Cost per request known and capped before launch
- A defined fallback for every case the model gets wrong
- Prompts, retrieval and model choice versioned like the rest of the codebase
8 ways this shows up
Agents, copilots, RAG and automation — built as production systems.
AI Product Development
Concept to production AI product — model choice, evaluation, cost ceiling and an interface that makes the output checkable.
Agentic AI Development
Agents that use tools and complete multi-step work — inside permission boundaries, with approval gates on anything irreversible.
Generative AI Development
Systems that draft content, code or structured data at volume — constrained to your format, validated, and reviewed before publication.
RAG Development
Answers grounded in your own documents — with hybrid search, reranking, citations and a measured retrieval accuracy score.
AI Copilot Development
In-product assistants with real context — your data model, the user's permissions, and the ability to act, not just answer.
AI Chatbot Development
Support and sales bots grounded in your own content, wired into your helpdesk, with an honest escalation path.
AI Voice Agents
Inbound and outbound phone agents — low latency, interruption handling, telephony integration and a warm transfer path.
AI Workflow Automation
Triage, classification, extraction and routing where judgement is required — with confidence thresholds and a human queue.
The rest of what we do
Most engagements cross two or three of these.
Need ai engineering?
Send a paragraph about the problem and you will get a considered reply from an engineer — a shape, a rough timeline and an honest view on whether we are the right fit.