Intelligence with an operator
We put AI where it removes work or improves a decision: support assistants, search over your own documents, classification, vision, forecasting. A person remains accountable for the outcome. A model that cannot be explained to the team that runs it is not finished.
This sits beside the other crafts. A mobile app may need on-device inference. A DevOps practice needs the model’s release, logs, and cost to be as dull as any other service. Consulting is where we decide whether a model belongs at all.
What an engagement covers
A narrow job, not a platform fantasy. Evaluation sets you can re-run. Retrieval that cites its source. Guardrails for what the system must refuse. Human review where the cost of a wrong answer is high — money, care, research. See fintech, healthcare, and life sciences for the domains where that bar is strict.
Blockchain work is a different craft. Wallets, tokens, and chain systems live under blockchain and cryptocurrency.
Global, same standard
India builds. The USA, Australia, and Dubai review in their morning. The method is the same: a first slice in production clothes, then a wider system only if the slice earned it.
Have a decision to improve?
Tell us the job. We will say if a model belongs, and what the first slice is.