Custom AI Model Training on Your Own Data

Models trained and tested on your own data and your own cases, not a public benchmark.

A model trained on general data often misses what matters in your business. We start from your operational records and documents, clean them, label what needs labelling, train the model, and test it against real cases you pick.

We prefer the simplest approach that works. Often an existing pre-trained model plus your data does the job without training anything new. Our own media QC tool, for example, runs on off-the-shelf vision models, and a small trained add-on is planned only for the cases where those models fall short. Our data analysis engine lets the database do the counting and uses language models only to explain results, so the numbers can be checked.

After launch, we keep monitoring how the model performs so you can see when it needs retraining.