Insights
Practical notes for data owners.
Guides to licensing company data, preparing for a shutdown, and answering AI buyer diligence questions.
Understand the decisions before the negotiation. These guides cover rights, preparation, buyer evaluation, and the practical work behind a defined license.
- Choosing a data pricing model for AI buyers.
A practical guide to selecting per‑hour, per‑record, or flat‑fee pricing for proprietary data assets licensed to AI developers.
- Public AI data deals: which comparables actually apply.
A practical guide to evaluating public AI data licensing deals and selecting the right comparables for valuation scenarios.
- Why record count alone cannot price a dataset.
Record count is a weak metric. Learn the drivers that shape data valuation and how to build realistic pricing scenarios.