AI training data
AI models learned most of what they know from public text. To get better at real work, like answering support tickets, closing the books or dispatching a field crew, they need examples of that work actually being done. These guides explain what labs look for in training data and where business data fits in.
Guides
How to Anonymize Data for AI: Methods, Limits and GDPR
To anonymize data for AI, remove or replace direct and indirect identifiers, use consistent placeholders and review by hand. Methods, limits and GDPR basics.
Read guide →How to Monetize Data: A Practical Guide for Companies
How a company can monetize data: internal use, data products, insights or licensing de-identified data to AI labs, compared on cost, risk and time to cash.
Read guide →How to Sell Datasets: Where to Sell and What Buyers Check
To sell a dataset, check rights, de-identify it, add a datasheet and redacted sample, then license it via a marketplace, AI lab, exchange or your own site.
Read guide →AI Training Data: What It Is and Where It Comes From
AI training data is the text, code and records models learn from. See where it comes from, why rights checks matter, and whether your company's data counts.
Read guide →How to Sell Your Company's Data to AI Labs
Companies sell data to AI labs by licensing a de-identified copy. See the steps, rights checks, price drivers and what stays under your control.
Read guide →What Is AI Data Licensing? A Plain-English Guide for Companies
AI data licensing lets a company grant an AI lab permission to train on a defined dataset while keeping ownership. Learn the terms, prep work and pricing.
Read guide →Key terms
- AI training data
- AI training data is the data a machine learning model learns from: the examples used to fit or adjust its learnable parameters. It is distinct from validation data, testing data, and the input data a finished system receives when in use.