AI Development Services

Trimate covers the path from a use case to a working feature: discovery and prototyping, AI strategy, product features, generative integrations, search over your own documents, knowledge assistants, and automation of repetitive operations.

We look for a job that already costs time or money, data you can actually use, and a prototype that shows the result before a large build. If the prototype does not earn its place, the idea stops there instead of becoming a long project.

Yes. Most of the work is adding a feature to an existing product or workflow: summaries, recommendations, search, or a step that used to be manual. The surrounding application stays in place.

Retrieval-augmented generation, or RAG, answers questions from your own approved documents instead of from a general model alone. Trimate uses it for policy search, internal helpdesks, and other cases where the answer has to come from your content.

No. An AI feature earns its place when it shortens a workflow people already do, or finds something in documents they already keep, inside the software they already open. A demo that answers a question once is not that feature.

Scope is set by the job the feature must do, the systems it has to plug into, and whether a short prototype already proves value. Cost follows that scope rather than a published price list. Drivers include data readiness and access, how many workflows or products the feature touches, model and hosting choices, evaluation and monitoring in production, and whether we stop after a prototype or continue into a full build. We lock the use case and success criteria in discovery first so the effort band matches a real outcome before larger spend.