Custom Model Training is a done-for-you service that fine-tunes an AI model on your own data, voice, and domain — covering dataset preparation, training, evaluation, and deployment — so the result answers like your best expert instead of a generic model.
Dataset prep, training, evaluation, and deployment — so a model answers like your best expert in your domain, not a generic chatbot. From $6,499, quoted per project after a free audit.
Off-the-shelf models are general by design. When your value is in a specific domain, voice, or body of knowledge, a generic model dilutes it. Fine-tuning teaches a model your material directly, so its answers carry your expertise and sound like you.
We look at your data and goal and confirm whether fine-tuning is the right approach — sometimes a chatbot or agent gets you there faster and cheaper, and we will say so.
We prepare and clean the dataset, then run training so the model learns your domain, voice, and the way you answer.
We evaluate the trained model against real examples to check quality, then deploy it where you need it and document how it works.
quoted per project after a free audit · delivered in 2-4 weeks
Fixed scope, fixed price, and a 100% money-back guarantee for 7 days after handover.
Custom model training, or fine-tuning, adapts an existing AI model to your specific data, voice, and domain. Instead of relying on general knowledge, the model learns from your material so its answers reflect your expertise and sound like your business. The work covers dataset prep, training, evaluation, and deployment.
Often not — a chatbot grounded in your content or a custom agent solves many needs faster and for far less. Fine-tuning earns its cost when you have a distinctive domain, voice, or knowledge base that general models handle poorly. We assess fit honestly in a free audit before recommending it.
It starts at $6,499 and is quoted per project, because cost depends on the dataset, the model, and the evaluation needed. Typical delivery is 2-4 weeks. We confirm scope and a fixed quote after a free audit.
It varies by goal, but generally examples of your domain and the way you answer — documents, transcripts, past responses, or a knowledge base. Part of the engagement is preparing and cleaning that data into a training-ready dataset, which we handle for you.
We hand the automation over running, and you have seven days from handover to use it against real work. If it does not do what your written scope said it would, tell us within those seven days and we refund 100% of the fee — the whole amount, not a prorated portion. You keep what we built; we do not disable it or ask for it back. Because the scope is agreed in writing before you pay, whether it did what we said is not a matter of opinion.
Tell us what you want the model to do and what data you have to train it on — we'll confirm scope, fit, and a fixed quote before you commit to anything.
Prefer to price a few services together? Build a quote →