What is training data?
The material an AI model learns from, and the question every customer should ask: is the model trained on what we input? Here’s how it works.
Training data is the material an AI model learns from: text, images, and code that the model processes during training until the patterns stick. The model doesn’t save the material like an archive it looks up later. Instead, it learns from it, a bit like a person who’s read a thousand books can’t quote them all but writes better because of it.
The question that matters for a business is a different one: does what WE input become training data for future models? With many consumer services, the answer is yes unless you’ve actively turned it off, and that’s how trade secrets can end up in the next model version. The question to ask every provider is straightforward: are our questions, answers, and documents used for training, and where does it say so?
EuroWork’s answer is no, by agreement and visibly: the standard models run with zero data retention (a term worth remembering), none of your content is used to train anyone’s models, and it says so under every answer. Your data is your working material, not our raw material.
Your employees are already using AI, often in private accounts where no one sees what gets pasted in. EuroWork gives the same AI help in one place where you are in control: sensitive data is caught before it is sent, processing stays in the EU, every answer shows its price and management sets the rules.
See how EuroWork works →