What is compute-to-data (secure data enclaves) in AI licensing?
Compute-to-data is a delivery model where a buyer runs approved computations inside a controlled environment instead of receiving a copy of the data. It offers owners more control but less buyer flexibility. In SourceX deals, the delivery method is agreed in the contract before anything moves.
What is compute-to-data?
Compute-to-data is a delivery model in which a buyer runs approved computations inside a controlled environment that the data owner or its agent controls, instead of receiving a copy of the data. The data stays put; the code goes to it. Related terms are secure data enclaves, trusted research environments and data clean rooms.
For a business owner, the appeal is control. The trade-off is that the buyer has less freedom to inspect, clean and reuse the data. Which model applies is a contract decision, agreed between the company and the buyer before delivery, and SourceX does not assume one model fits every deal.
How does it differ from receiving a copy?
| Feature | Delivered copy | Compute-to-data or enclave |
|---|---|---|
| Where the data sits | Buyer's environment after delivery | Controlled environment the owner or agent operates |
| What the buyer gets | Files or an export | Results, trained weights or logs from approved jobs |
| Inspection | Free, subject to contract | Limited to what the environment permits |
| Reuse and resale | Governed by license terms | Easier to constrain technically, still set by contract |
| Cost and complexity | Lower | Higher: environment, access control, monitoring |
| Typical fit | Documents, exports, large static sets | Highly sensitive or tightly governed records |
The controls described belong to the technology, but they do not replace a contract. Whether the buyer can resell, who can see outputs and how long it can keep results are all license terms; see whether an AI buyer can resell licensed data.
Illustrative example
Illustrative: a fictional mid-sized staffing firm with 180 full-time employees at peak is willing to license eight years of internal workflow records, but its owner worries about copies leaving its control. The parties discuss whether a buyer could train inside a monitored environment, whether the firm or a neutral provider operates it, and what outputs may leave. Alternatively they agree a delivered copy with strict reuse limits. The firm chooses with its counsel, and neither route is binding until the company signs.
What about federated learning and data clean rooms?
These ideas overlap but are not identical.
| Term | Plain meaning | Relation to data licensing |
|---|---|---|
| Federated learning | Model is trained across several sites; raw data stays at each site | A technique, not a license |
| Data clean room | A shared environment for joint analysis with controls on what can be seen | Common in advertising analysis; training use varies |
| Secure enclave | Hardware-isolated processing environment | One way to implement controlled compute |
| Compute-to-data | Send approved code to the data | A delivery pattern that a license can require |
| Delivered copy | Buyer receives files | Simplest, depends on contract limits |
Because training at large volume usually benefits from broad access to data, enclaves can be harder for training than for narrow analysis. That is a practical consideration, not a rule.
Does the delivery model affect what a company can license?
It can. A company holding highly sensitive records may only be comfortable with a controlled model. A company with moderate sensitivity and good redaction may prefer a delivered copy, which is also simpler. Other agreed terms still apply:
- Scope of records and years covered
- Exclusivity for AI training for an agreed term
- De-identification and redaction requirements, agreed before work begins
- Whether the company receives one all-in price with SourceX's fee included
- Delivery only after an executed agreement and the company's authorization
Large deliveries stay in the seller's own storage or ship on encrypted drives, because SourceX does not host multi-TB datasets. For how metadata shapes what is worth delivering, see why metadata raises the value of business data, and for how selection works, see what data curation is.
How does this compare with a partnership?
A partnership may involve joint product work or ongoing access, while a license transfers defined rights for a defined term. The AI partnership vs data licensing comparison explains where compute-to-data fits in each. The what is data licensing for AI page gives the base definition.
What to say to an owner who worries about control
Limits
- Not every buyer will accept a controlled environment, and not every company needs one.
- A technical control is not a legal guarantee; the contract governs.
- Partners do not choose the delivery model, and never handle the records.
- The details of any deal's delivery method are set between the company, SourceX and the buyer.
Next step
If a prospect cares about control, ask them to read the how it works page and check fit with the company fit checker. When you are ready, register as a partner.
- Step 1Share your linkSend your personal link to a company you know.
- Step 2Company appliesThe company applies itself at /apply.
- Step 3Buyer selects and paysThe buyer selects and pays for the data and SourceX receives its fee.
- Step 4You get your rewardYour share of SourceX fees becomes payable.
Common questions
Does SourceX require compute-to-data?
No. The delivery method is agreed in the contract between the company, SourceX and the buyer. Some deals may use a delivered copy and others a controlled environment. Nothing is delivered without an executed agreement and the company's authorization.
Is compute-to-data the same as federated learning?
No. Federated learning is a training technique where models learn across sites without pooling raw data. Compute-to-data is a delivery pattern where approved code runs where the data sits. They can be combined, but a license is a contract, not a technique.
Does a secure enclave remove the need for rights clearance?
No. A technical control limits access but does not establish that the company can license the records. Authority, third-party content, privacy promises and contract limits still need to be reviewed before any buyer receives access.
Can the company still keep ownership?
Yes. Companies keep ownership; data is licensed, not sold. Whether the buyer receives a copy or computes in a controlled environment, the license sets scope, term, exclusivity and reuse limits, and nothing binds until the company signs.
Who runs the environment in a compute-to-data deal?
It depends on the agreement. It could be the company, a neutral provider or the buyer under strict controls. Cost, trust and technical capability drive the choice, so a company should raise it with SourceX early rather than assume.
Related pages
- Can an AI buyer resell the company data it licenses?
- Why metadata raises the value of business data for AI training
- What is data curation for AI, and who does it?
- AI partnership vs data licensing: what is the difference for a company?
- What is data licensing for AI?
- How SourceX US company data referrals work
Free resources
- IRR calculator — Internal rate of return on annual cash flows.
- Business valuation calculator — Enterprise and equity value from EBITDA, your multiple, cash and debt.
- Portfolio data opportunity scanner — Screen several companies in one session.
- All free tools · MCP resource center
By SourceX Partnerships Team · Published 2026-10-09 · Updated 2026-10-09
Know a US company with valuable proprietary data?
Become a referral partner from anywhere we support, get your link and introduce an owner or authorized decision-maker.
Refer a company →I own a business
Explore licensing your company's data to AI developers worldwide. Start a short assessment; no uploads needed.
Start an assessment