Data pricing
There's no list price for company data. What a dataset is worth depends on the type of data, how much of it there is, how many years it covers and what labs are asking for at the moment. These guides explain each of those factors and how to get a realistic range before you decide to list anything.
Guides
AI Data License Offers: The Terms to Check Before You Sign
Exclusive or not, license or assignment, term, permitted use, deletion, warranties and payment: the clauses that decide what an AI data offer is worth.
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 →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
- Data monetization
- Data monetization is turning data and analytics into financial returns. This can happen directly, by selling or licensing data or information products, or indirectly, by using data to improve operations or make products more valuable.
- Data valuation
- Data valuation is estimating what data is worth, usually from market prices for comparable data, the cost of producing it, or the income it can generate. In statistics and accounting it means a money value; in machine learning it often means scoring how much each record helps a model.