Domain assistant
A manufacturer's twenty years of specs, tickets and emails made answerable in seconds by the engineering team.
When the need does not fit a category — a domain assistant grounded in twenty years of archives, a pricing model for a seasonal business, a defect check on production photos — the honest first step is a pilot that proves the idea on your own data before you fund the build.
Custom AI work is where budgets disappear: open-ended scope, no agreed measure of success, and a demo that never becomes a system. A pilot with a metric fixes all three.
A manufacturer's twenty years of specs, tickets and emails made answerable in seconds by the engineering team.
Packaging photos scored for defects on the line, with borderline cases sent to a supervisor.
A Gujarati-first support layer that reads, classifies and drafts replies for a regional consumer product.
You keep the evaluation results, the cost model and the reasons, and you have spent two weeks instead of a quarter. Around one pilot in three ends this way, which is the format doing its job.
Yes, before any data is shared. For sensitive workloads we also scope region-locked or on-premise model options at the pilot stage.
A 30-minute demo on your own use case: what we would build, how long it would take with AI in the loop, and what it would cost. No deck, no obligation.