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Longer pieces on one question at a time: who owns what, what buyers want, telling clients, pricing and recruiting records. Each one cites the pages it relies on.

  1. Records
    4 min read

    Briefs, revisions and timesheets: what agencies hold that AI labs want

    Which agency records AI labs want for training data: briefs, revision rounds, timesheets and QA notes, what buyers publish, and what to strip out first.

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  2. Contracts
    4 min read

    Client-owned or agency-owned? Reading your MSA before you license data

    Before you license agency data for AI, read your MSA: the IP assignment, confidentiality and pre-existing materials clauses decide what is yours.

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  3. Money
    4 min read

    Pricing an agency archive: published ranges against reported deals

    Pricing an agency archive for AI: published buyer ranges from micro1, Scale AI, Nyne and Labelbox Prism set against deals outlets have actually reported.

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  4. Recruiting
    4 min read

    Recruiting agencies and candidate data: what is off limits?

    Recruiting agencies and candidate data for AI training: why resumes, interview notes and recordings stay out, and which process records may be licensable.

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  5. Clients
    4 min read

    Should you tell clients you licensed process data?

    Should you tell clients you licensed process data to AI buyers? When the contract requires consent, when it is wise anyway, and what the note says.

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Get a quote

Describe the agency and where its history is kept, in a few lines. Your answers get compared with what each buyer says it requires, and the email back names any that match. No buyer hears of you until you agree.

Keep records, files, samples and client names out of this form. A description of what the agency holds is plenty.

Step 1 of 3

Where is the company based?

Use the main office. Several buyers limit where they buy from, so location matters.

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