Data Licensing vs Selling Data: Which Is Right for You?

Three ways to structure a data partnership

Momentra works with companies under three broad models: licensing, purchasing and custom project partnerships. The terms of each are set out in a signed agreement that governs the scope of data, permitted use, transfer and processing. The names describe the starting point; the details are always negotiated for the specific data and situation.

It helps to think of the choice in terms of what you want to keep. Ownership, the ability to work with other parties, control over how long data is used, and the amount of effort you are willing to put in all vary between models.

Licensing: you keep ownership

Under a licence, you remain the owner of the data and grant defined rights to use it. The licence specifies what the licensee may do, for example use the data to train and evaluate AI models, and what they may not do, such as resell it or try to re-identify individuals. It may be time-limited or ongoing, and it may be exclusive or non-exclusive.

Licensing suits companies that want to keep control and stay involved. A non-exclusive licence leaves you free to work with other partners. The trade-off is that the arrangement continues, so you need to keep track of obligations such as retention limits, audit rights and what happens when the licence ends.

• You keep ownership of the underlying data
• Permitted uses are defined precisely
• Can be exclusive or non-exclusive, time-limited or ongoing
• Ongoing obligations on both sides need to be managed

Selling: a cleaner, one-time transaction

In a purchase, the buyer acquires broader rights to a defined dataset, often on a one-time basis. This can be simpler to administer: once the data is de-identified, transferred and the agreement fulfilled, there is less to manage afterwards. It can suit companies that are winding down, retiring a product, or simply prefer a defined transaction.

The trade-off is control. Depending on the terms, you may be giving up the right to offer the same data to others. Read carefully what rights are transferred, whether there are any restrictions on downstream use, and what commitments remain about confidentiality and re-identification.

Custom project partnerships

Some arrangements go beyond handing over existing records. A custom project might involve selecting and structuring data for a particular AI task, adding context or annotations, or capturing new examples of workflows your team already performs. These projects require more involvement from your side, but they can produce data that is more closely matched to what a model needs.

Custom projects suit companies with deep domain expertise and staff who can contribute time. They need clear scoping: who does what, which systems are involved, and how quality is checked.

How the choice plays out in practice

A software company with an active product might prefer a non-exclusive licence covering older repositories and resolved tickets. It keeps ownership, avoids handing over anything tied to its current roadmap, and remains free to talk to other partners. The cost is ongoing administration: tracking retention periods, honouring audit requests and managing renewals.

A startup that has shut down, by contrast, may have a codebase and project history with no further commercial use and founders who want a clean ending. An outright purchase can suit that situation well, because once transfer is complete there is little left to manage. The founders should still check who owns the code, including anything built by contractors, before signing.

A specialist firm, such as an accounting practice or an engineering consultancy, might have deep expertise but records that need context to be useful. A custom project, where staff help select representative examples and explain the reasoning behind them, can produce something more valuable than a raw export. It needs clear agreement on time commitments and how contributions are reviewed.

Questions to help you choose

Rather than starting with a model, start with your situation. The answers to a few questions usually point to the right structure.

• Do you want to keep the option of working with other partners later?
• Is this data still tied to an active business, or is it from a product or company that has wound down?
• How much ongoing administration are you willing to take on?
• Do you have people with domain knowledge who could contribute to a custom project?
• Are there parts of the data you would only share under tight, time-limited terms?

What stays the same in every model

Some things do not change whichever structure you choose. You decide what is in scope. No sample is reviewed until an NDA defines confidentiality, permitted use, retention and security. Data is de-identified with purpose-built tools that detect and remove or replace sensitive information before further use. And transfer happens only through a secure channel agreed in the contract.

Value also depends on the structure. Exclusivity, duration and the breadth of rights all influence what an arrangement is worth, which is one more reason why value is assessed case by case rather than from a price list. In the initial value assessment, it is useful to say which models you are open to so the proposal reflects your preferences.