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Glossary of data licensing terms

Plain definitions of the terms that come up when a company licenses its records for AI training, including bankruptcy and privacy terms. General information, not legal advice.

ABC (assignment for the benefit of creditors)
A state-law alternative to bankruptcy in which a company assigns its assets to an assignee, who sells them and distributes the proceeds to creditors.
363 sale
A sale of a debtor's assets outside the ordinary course of business in a US bankruptcy, approved by the court under 11 U.S.C. § 363.
Consumer privacy ombudsman
A person a US bankruptcy court may appoint before approving a sale of personally identifiable information when the debtor's privacy policy restricts its transfer (11 U.S.C. § 332).
De-identification
Removing or replacing personal identifiers (names, emails, phone numbers, addresses, IDs) so records can't reasonably be linked back to a person. FileFunding's illustrations replace them with role labels such as [Customer].
PII (personally identifiable information)
Information that identifies a person directly or in combination, such as a name, email address, phone number or account ID.
Data license
A contract giving a buyer the right to use a copy of data for agreed purposes, such as AI training, while the owner keeps the records. Most business data deals are licenses rather than outright sales.
Exclusive license
A license under which the owner agrees not to license the same data to anyone else, usually for a higher price. A non-exclusive license allows other licenses.
Provenance
The documented history of a dataset: who owned it, how it was collected and exported, what was excluded, and who had authority to license it.
Provenance pack
The documents that travel with a data lot: authorization, source systems and date ranges, inclusions and exclusions, applicable privacy notices, de-identification method and use restrictions.
Training data
Text, code, audio, video or other records used to train or fine-tune an AI model.
Workflow traces
Recordings or logs of multi-step tasks as people actually performed them, used to train computer-use agents.
RL environment
A simulated task setting, often built from real workflows, where an AI agent learns by trial and feedback (reinforcement learning).
Data lot
A defined, scoped set of records from one company offered for license, with its own provenance pack.
Indicative estimate
A rough range from public data points and a few answers. Not an offer, appraisal or valuation.