Custom AI Model Training on Your Own Data

AI models trained and tested on your own data and your own cases, not on a public ranking test.

A model trained on general data often misses what matters in your business. We start from your business records and documents. First we clean them. Then we label what needs labelling, which means tagging examples so the model knows what they are. Next we train the model. Finally we test it on real cases you pick.

We prefer the simplest approach that works. Often a ready-made AI model plus your data does the job. Nothing new needs to be trained. For example, our own media QC tool checks the quality of images and video. It runs on off-the-shelf vision models. We plan a small trained add-on only for cases where those models fall short. Our data analysis engine lets the database do the counting. It uses language models (AI that reads and writes text) only to explain results. So the numbers can be checked.

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