How to License Your Business Data to AI Companies: A Practical Guide

1. Rights review

List where the data came from and who contributed to it. Check customer contracts, contractor agreements, platform terms and open-source licences. Flag anything uncertain for legal review rather than guessing.

2. Qualification

Describe content, domain, time span, format and scale. A buyer or broker can then judge fit before anything is shared. AssetGate's free assessment is designed for this step and needs no upload.

3. Privacy and sensitive data

Personal data needs a lawful basis to share, and anonymisation must be robust. Under UK and EU GDPR, pseudonymised data can still be personal data. Remove credentials, secrets and special category data unless there is a clear legal route.

4. Samples and buyer matching

Share a small, approved sample only under a written evaluation agreement. Buyers usually test whether the data improves a model or evaluation before committing. Matching depends on genuine demand, so some datasets will not find a buyer.

5. Deal structure

Agree what is being licensed and how it is paid for.

• One-off snapshot, annual access or multi-year term
• Exclusive or non-exclusive
• Permitted uses: evaluation, training, commercial deployment
• Treatment of trained models and copies after the term
• Updates, support and delivery format

6. Security, delivery and payment

Use secure transfer, access logging and deletion obligations where appropriate. Payment can be upfront, milestone-based or recurring. Account for preparation, legal and brokerage costs to understand net proceeds.