Fine-Tuning, explained
Fine-tuning trains a model further on your data to specialize it for a task.
Why it matters for agents
It can improve tone, format and accuracy for narrow, repeated tasks where prompting alone falls short.
How we use it in production
We use it when it clearly beats prompting and RAG for your case.
See where it shows upWhat teams say
★★★★★
“Our security team sent 60 questions about fine-tuning. Every answer was specific to our setup and came back in writing within the week. We signed, and we're saving about $6,000 a month against the hire we'd budgeted for.”
★★★★★
“They were honest about where fine-tuning helps and where it doesn't. That's why we trusted them with the build, and our team got back roughly 20 hours a week.”
★★★★★
“I'd read plenty about fine-tuning. They were the first team to show it working on our own data before we committed a dollar. Now response times went from hours to seconds.”
Get the technical walkthrough
We take your engineers and reviewers through the whole stack, model to logs.