AI Consulting
Straight answers about where AI earns its keep in your business — and engineering to put it into production once it does.
The hard part of applied AI is rarely the model. It is picking a problem worth solving, wiring it to real data, and knowing whether the output is good enough to trust. We work on that first.
What that includes
- Opportunity assessment
- A short, honest review of where AI helps, where it does not, and what each option costs to run.
- RAG & knowledge systems
- Retrieval over your own documents and data, with citations and evaluation built in from day one.
- Model integration
- Claude, OpenAI, Gemini, and open-weight models behind a provider-agnostic interface you are not locked into.
- Evaluation & guardrails
- Test sets, regression tracking, cost ceilings, PII handling, and human review paths.
What you end up with
- A written recommendation you could hand to a board.
- Working systems with measured accuracy, latency, and cost.
- No dependence on a single vendor.