AI Engineering
We build the system, then we prove it.
Agents, LLM applications and the integration work that makes either of them usable. Every engagement includes the evaluation suite and the acceptance thresholds — because a system nobody can measure is a system nobody will approve.
Four Things
The work, without the taxonomy inflation.
AI agent development
Document intelligence, exception triage, quoting, reconciliation, knowledge retrieval, multi-step operational workflows. One workflow, six weeks, fixed timebox.
LLM application development
Retrieval systems that answer correctly or say they don't know. Chunking, reranking, citation grounding, abstention design, and the evaluation that tells you the hallucination rate rather than letting you hope about it.
Enterprise system integration
ERP, TMS, WMS, EHR, core banking, and the file drop everyone pretends isn't in production. Usually the largest part of an AI project and almost always the underestimated one.
Legacy modernization
Modernize the system, not just the syntax. Where an AI-assisted rewrite genuinely helps we'll use it — and tell you where it doesn't.
How We're Different
Three commitments, on every engagement.
Claude Code, Cursor and GitHub Copilot are in our own delivery — which is part of why a six-week timebox is realistic. We'll tell you exactly where AI-assisted development helped and where it didn't.
Thresholds before code. We agree measurable pass/fail criteria in week one, in writing, signed both sides.
Your tenancy, your repositories. We work inside your environment under your standards. No zip file at the end.
Full IP transfer. Code, evaluation suites, datasets, documentation. No retained license.
One workflow. Six weeks. A number you signed.
If the system doesn't clear the thresholds we agree in week one, you don't pay the final 30%.