TL;DR
- The law treats the two differently. Under US copyright law an exclusive license is a "transfer of copyright ownership" and a nonexclusive license is not (17 U.S.C. § 101), and a transfer is valid only in a signed writing (17 U.S.C. § 204(a)).
- Non-exclusive licensing lets one dataset earn more than once. Reddit gave Google access to its Data API in February 2024 (Google) and OpenAI in May 2024 (Reddit).
- Kled reports a $12 million non-exclusive data deal over two years (Kled, Jun 26 2026).
- Exclusive deals exist at smaller scale too. Polyshares lists perpetual exclusive licenses of company operating records at $110,000 to $450,000 (self-reported, undated: Polyshares).
- Exclusivity can be a window. In a related-party deal with Pathos (the two share executives and owners), Tempus agreed not to license the same neurology records to other third parties until 18 months after the later of each record's delivery and Oct 22 2027 (Tempus 8-K, Oct 23 2026).
- "Non-exclusive" can still restrict you. micro1's master terms take a nonexclusive, irrevocable, perpetual license, and the seller warrants it has not already licensed the same data "on the same or substantially similar terms" (micro1).
US contracts write "license" for the noun; British, Canadian, Australian and New Zealand contracts usually write "licence". The meaning is the same.
This guide is general information, not legal advice. Have counsel review any license before you sign.
What is the difference between an exclusive and a non-exclusive data license?
An exclusive data license gives one buyer the sole right to use the data within an agreed scope, so you cannot license that data to anyone else in that scope. A non-exclusive license gives the buyer the right to use it while you stay free to license the same data to others. Contracts also use a middle form, often called a sole license, in which you promise not to license anyone else but keep the right to use the data yourself.
The difference is more than commercial. US copyright law counts an exclusive license as a "transfer of copyright ownership", whether or not it is limited in time or place, and expressly excludes a nonexclusive license from that definition (17 U.S.C. § 101). A transfer of ownership is not valid unless it is in writing and signed by the rights owner (§ 204(a)). A data license may rest on contract as much as on copyright, but the principle carries over: exclusivity takes rights away from the owner, and should be written down precisely.
Is licensing data exclusively the same as selling it?
Not quite, but a perpetual, irrevocable, worldwide exclusive license comes very close. A sale (an assignment) transfers ownership outright. An exclusive license leaves ownership with you but can strip out almost every use of it. What separates them in practice is scope and time:
| Arrangement | Who owns the data | Can you license it again? | Can you use it yourself? |
|---|---|---|---|
| Non-exclusive license | You | Yes | Yes |
| Sole license | You | No, within its scope | Yes |
| Exclusive license | You | No, within its scope | Only if the contract allows it |
| Perpetual, irrevocable exclusive license | You, in name | No, ever, within its scope | Only if the contract allows it |
| Sale or assignment | The buyer | No | Only under a license back |
When a buyer asks for the fourth row, compare its offer with a sale price, not with a license fee. The agreement guide covers the grant clause word by word.
What does exclusivity actually restrict?
Exclusivity restricts only what the contract says it does, so the scope matters more than the label. A well-drafted exclusivity clause answers six questions:
- Which data? All of it, or specific records, sources or years?
- Against whom? Every other buyer, or only named competitors of the buyer?
- For which uses? Every use, or one field, such as training models for one industry or task?
- For how long? Forever, or a window that starts on delivery and ends on a date?
- Where? Worldwide, or certain territories?
- What about you? Can your company still use the data internally, or license it for unrelated purposes?
The Tempus–Pathos deal shows how narrow a clause can be, though it is a related-party deal rather than an arm's-length one: the 8-K notes that the two companies overlap in executive leadership and equity ownership. Tempus agreed not to license the applicable neurology records to any third party other than Bristol Myers Squibb, Pathos and certain subcontractors. The restriction runs from each record's delivery until 18 months after the later of that delivery and October 22 2027 (Tempus 8-K). It covers one dataset, one set of parties and a fixed window, and then it ends.
When does a non-exclusive license make more sense?
A non-exclusive license makes more sense when several buyers could use the same data, because each license can earn on its own. Reddit is the clearest public case: the same Data API went to Google and to OpenAI within a few months (Google; Reddit). Kled, a data marketplace, described its $12 million enterprise deal as non-exclusive (Kled).
Non-exclusive tends to suit you when:
- the data is useful to more than one kind of model (world models, robotics, vision, agents);
- the archive keeps growing, so later tranches can be licensed separately;
- you want revenue over several years rather than one payment;
- no single buyer is offering enough to justify shutting out the rest.
Read "non-exclusive" carefully, though. micro1's master terms are expressly nonexclusive, yet the seller warrants it has not previously granted anyone rights to "the same Data on the same or substantially similar terms" (micro1, s. 5.1). That does not bar later licenses, but it does make the order of your deals matter.
When is an exclusive license worth it?
An exclusive license is worth it when one buyer will pay more than you would expect to earn from everyone else combined during the exclusive period. That usually means one of these:
- The data is a one-off. A closed archive with a small set of natural buyers, where the second sale is unlikely anyway.
- The buyer needs it to compete. A team that wants a data advantage over rivals will pay to keep them out.
- The window is short. A time-limited exclusive, like Tempus's, lets the buyer get ahead and returns the data to you afterwards.
- The scope is narrow. Exclusive for one field or one territory, with everything else still open to you.
Exclusive licenses are not only for large deals. Polyshares publishes perpetual exclusive licenses of operating records from a roofing company, a general contractor, a solar company and a marketing agency, at $110,000 to $450,000 each; the figures are self-reported and undated, with company names kept confidential (Polyshares). A perpetual exclusive is the strongest grant you can make, though, so check that the price reflects every future license it rules out.
How should exclusivity be priced?
Price exclusivity as the non-exclusive revenue you give up, plus a premium for the advantage the buyer gains. Work it out in three steps:
- Estimate the alternative. How many other buyers could realistically license this data during the exclusive period, and at what kind of price?
- Discount for time. A two-year exclusive gives up two years of other sales. A perpetual one gives up all of them, which makes it a sale in all but name.
- Add the competitive premium. The buyer is paying to keep its rivals away from the data, not only for the data itself.
Then narrow the scope until the price makes sense: fewer records, one field of use, a shorter window. Every limit you add keeps value with your company. Public reference prices for different data types, where they exist, are collected on the sell hub pages such as egocentric video and 3D scans and CAD.
How do perpetual and irrevocable change the picture?
Perpetual means the rights never expire, and irrevocable means you cannot take them back. Together they matter as much as exclusivity does. micro1's grant combines both with worldwide scope and multi-tier sublicensing (micro1, s. 1.2). Its deletion clause has the buyer delete the files within 120 days after final delivery, but not any model, weights or derivative works made from them (micro1, s. 4.4).
So even a non-exclusive deal can leave a permanent mark: once a model is trained, the knowledge stays with it. When you weigh exclusivity, also ask how long the license lasts, whether it can be revoked for breach, and what survives when it ends.
Where does exclusivity fit in a fearofgod.ai partnership?
Exclusivity is a term, so in a fearofgod.ai partnership it belongs to the scope and terms step, the third of five: partnership form, conversation, scope and terms, data preparation, and delivery and payment. fearofgod.ai works with companies that want to license their data securely and earn additional, long-term revenue from it. Partnerships typically range from $50K to $3M+. Partners can be paid more than once, through renewals and repeat licences. fearofgod.ai de-identifies the data before it goes to buyers. The buyers are AI labs and teams building world models, robotics and simulation, and fearofgod.ai never names them.
If you are weighing an exclusive offer, or want to keep your options open, talk to our team. For the wider picture, see how to sell data to AI companies and is it legal to sell company data to AI?.