What AI labs buy, and what they refuse
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Buyers of AI training data look for what the public web does not contain: how work is actually done inside companies. They also refuse a lot, and knowing it early saves months.
What they look for
- operational documentation: SOPs, knowledge bases, internal guides;
- decision-making patterns: how teams evaluate information and decide;
- customer conversations and support tickets;
- CRM records, project histories, QA processes, templates;
- specialized trades and languages that are rare online.
What makes it valuable
Rarity, structure (pairs of request and answer), depth of history, and clean rights. Details: how much your company's data is worth.
What is refused outright
- data covered by professional or medical secrecy;
- data the company has no right to license (client NDAs, data received from third parties);
- personal data that cannot be reliably anonymized;
- content that is already public.
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