Custom GPT Solutions

It depends on the use case — fine-tuning makes sense when you need consistent tone or specialized reasoning across thousands of interactions, while retrieval-grounding (feeding relevant documents at query time) is often faster, cheaper, and easier to keep current. We'll recommend the right mix after reviewing your data and how often it changes, rather than defaulting to the more expensive option.

We ground the model in your actual documentation and set explicit rules for what it can and can't answer, then test it against real edge cases your team has actually seen — ambiguous questions, out-of-scope requests, adversarial prompts. If confidence is low, the model is configured to say so or escalate rather than guess.

Yes, that's usually the point — we connect it to your CRM, helpdesk, or internal knowledge base so it can pull live account or product data rather than working from a static snapshot. The integration work is scoped alongside the model build, not bolted on afterward.

Off-the-shelf tools are built for general use and don't know your specific policies, product quirks, or internal processes without significant manual setup you'd still have to do yourself. A custom GPT solution is built around your actual data and workflows from the start, with the access controls and integrations your business needs already in place.