Hire AI engineers for what happens after the demo

Yes. You can hire one senior AI engineer to join your team, and many clients start that way. You interview them first, they work in your repository and standups, and you can add a second engineer later if the roadmap needs one.

An AI engineer owns how the model behaves in production: evaluation, fallbacks, cost and the audit trail. An AI developer more often builds the product around the model, such as the app, the API and the integrations. Most builds need both skills, and our engineers cover each.

An AI engineer builds the system that runs in front of customers; a data scientist mostly answers questions with data. The engineer's work is retrieval, evaluation, fallbacks, cost and the plumbing that keeps a model useful under real traffic. If you need a model trained from scratch, that is a different hire and we will say so.

Rarely, because most business problems are solved better by retrieval and good engineering around a strong general model. Training earns its cost when you have a large, clean, proprietary dataset and a task no general model handles. We tell you which situation you are in before anyone spends money.

Ground it in your own data, then give it a way to say it does not know. Retrieval supplies the facts, the prompt and checks constrain the shape, and a low-confidence path routes to a person instead of guessing. TrialTriage puts a nurse in front of every result for exactly this reason.

You run the evaluation set against the replacement and read the differences before switching. Deprecation is announced in advance, so this is a scheduled task rather than an emergency, provided somebody built the set. That artefact stays in your repository.

Yes, and that is the common arrangement. Your team usually knows the data and the business rules; ours brings production patterns for models, evaluation and failure handling. They join your standups rather than running a separate track.

The state of your data and how much a wrong answer costs. Clean sources and low stakes need less work. Messy documents plus a regulated decision means more review, more evaluation and more design. You start with a free scoping call. Then every build starts with a fixed-fee Blueprint. An engineer reads your real systems and writes the plan, with a fixed price for each milestone. The fee is credited in full against the build, and if the plan isn't one you'd act on, you don't pay for it.