Model Fine-tuning
Models fine-tuned on your own data and workflows, deployed where the rest of your systems run. You hold the weights, the prompts, and the evals.
Fine-tuning is the right tool when a generic model keeps missing your domain: your documents, your terminology, your edge cases. We take your data, fine-tune a model against it, and evaluate it on tasks drawn from your actual work, not a public benchmark. If a plain integration or a retrieval setup would do the job for less, we tell you before we train anything.
You get the model, the training pipeline, the evals, and a deployment recipe that runs where the rest of your systems run. Your data never trains someone else’s product, and nothing you build depends on a rented endpoint you can’t inspect.