What are the intellectual property risks of training a custom AI model on my products?

Quick Answer

The main risks are data leakage and loss of distinctiveness. If you train a model on a public or shared server without privacy controls, there is a theoretical risk your product designs could influence the model's output for other users. However, the bigger risk is internal: if you train a model on images you don't own (e.g., competitors' photos), you create a derivative work that infringes on their copyright.

The Nightjar Advantage

Nightjar mitigates data leakage risks by isolating user data. When you upload images to extract a "Photography Style" or train a product representation, that data is used to generate your images. We do not use your private product photos to train the public base model that other users access.

Risk Checklist

• Input Ownership: Do you own the photos you are uploading for training? Training on Pinterest images you liked is a copyright risk. Training on your own studio shots is safe.
• Platform Privacy: specific "Enterprise" or "Private" modes prevent your data from flowing back into the foundation model.
• Trade Secrets: Be cautious about uploading photos of unreleased prototypes to web-based AI tools unless you have verified their security protocols.