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Licensing & provenance

The right data needs the right to use it.

Access is only the beginning. We treat source authority, permitted uses, privacy, and contractual clarity as essential parts of a viable AI dataset.

01 / Commercial usability

Build confidence into the chain of supply.

Data owners may possess valuable operational records without holding every right necessary to license them for AI training or evaluation. We design sourcing conversations to surface those distinctions early.

  • Identify source owners and relevant third-party interests
  • Define training, evaluation, derivative-use, and redistribution permissions
  • Examine restrictions around confidential or personal information
  • Record the scope of negotiated rights with deliverables
Provenance record / illustrative structure
01
Source identity

Who provided the material and on what asserted authority?

02
Collection basis

When, how, and for what purposes was it created or gathered?

03
Permitted use

Which training, testing, sublicensing, and retention rights were negotiated?

04
Processing history

What normalization, filtering, and privacy-related steps were performed?

02 / Controls to consider

Questions we design for early.

These considerations inform a sourcing checklist; contractual and privacy determinations require appropriate legal review.

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Chain of title

Does the prospective supplier have authority to license the relevant content and any embedded third-party materials?

◌

Personal information

Are there identifiable individuals, sensitive fields, or consent and notice obligations?

↗

Permitted AI uses

Do the proposed terms explicitly encompass the actual buyer use, including any training or evaluation requirements?

⌁

Confidentiality

Are there customer agreements, trade secrets, or commercial restrictions affecting transfer?

≋

Lineage

Can the dataset’s source, transformations, and subsets be explained at the level required by the buyer?

✓

Acceptance documentation

Can the buyer validate delivered format, use rights, exclusions, and accompanying metadata?

A useful distinction

“We can access this data” is not the same as “we can legally license this data for your intended AI use.” We do not treat third-party or sensitive content as resale-ready without the required approvals and controls.

Start a conversation

A dataset with unclear rights is not an advantage.

Describe your intended use and commercial constraints; we’ll scope the necessary source and licensing questions.

Discuss a data need