Your own AI model. Cheaper, sharper, and yours.
Codinglimits trains open-source large language models for specific tasks in specific industries. Clients get lower cost per task than general-purpose APIs, outputs tuned to their own data and voice, and faster, more accurate results on the work that matters. The model runs in the client's cloud, so data stays under their control.
“A general model gives every competitor the same answers. A model trained on your work gives you answers they cannot buy.”
The three gains
Cost optimisation
A smaller, task-trained model does the job a large general model is overpaying for.
Personalisation
Trained on your domain language, products and policies, so answers sound like your business.
Performance
Faster responses and higher accuracy on the specific tasks you run every day.
How we build it
Frequently asked
Why fine-tune an open-source model instead of using a frontier API?
For narrow, high-volume tasks a trained smaller model can cost less per request, respond faster and follow your rules more closely, and it runs where your data lives.
Who owns the trained model?
The client. Trained weights and evaluation sets are delivered to you and run in your environment.
How do you prove it beats a general model?
We agree a test set and metrics up front, then report accuracy, latency and cost per task against the frontier baseline before go-live.
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