Where can you sell company data to AI buyers?
Match the work your archive can support to a relevant buyer requirement or licensing route before preparing an export.
7 min read
Editorial date
Turn a requirement into a source assessment
Define the task, the source characteristics and the evidence that would support an evaluation. These guides cover sourcing briefs, company profiles and questions that can be resolved before requesting a data sample.
Guides on sourcing operations
20 guides
Is it safe to license company data for AI?
Review rights, privacy, customer material and handling before deciding which contribution can safely progress.
7 min read
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How AI teams can source enterprise workflow data without wasting evaluation cycles
Define the task, linked evidence, retained history and acceptance decision before searching for enterprise workflow sources.
9 min read
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What provenance should an enterprise AI dataset include?
Connect source, selection, preparation and version records with the separate authority needed for the proposed dataset use.
7 min read
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Is your company ready for a data partnership?
Describe records, retained periods, limits and responsible reviewers to begin an inquiry without sending underlying data.
7 min read
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What should you ask an AI data partner before signing?
Ask about parties, scope, permissions, preparation, payment and continuing rights, then assign the open questions that affect a decision.
8 min read
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How to Evaluate Enterprise Workflow Datasets for AI
Evaluate workflow datasets with a task-specific scorecard, time-aware evidence checks and a completed sample review that leads to a clear decision.
8 min read
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A qualified data owner is not a qualified dataset
Keep company credibility separate from dataset acceptance, and show the next reviewer what the evidence actually establishes.
7 min read
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What should a data-sourcing referral agreement protect?
Define the accepted introduction, authority, attribution and payment evidence before a referral creates a valuable relationship.
6 min read
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The hidden cost of “we will handle anonymization”
Identify extraction, transformation, review and rework responsibilities hidden behind a promise to handle anonymization.
5 min read
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What a buyer should ask before requesting the first data sample
Specify the task, selection method and review decision so the first sample produces evidence rather than unnecessary exposure.
5 min read
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What an AI data broker has to do to earn its place in a deal
Judge an intermediary by the decision its agreed work improves and the evidence supporting its recommendation.
7 min read
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I know data owners. Do I refer them or become a sourcing partner?
Match a single introduction or continuing sourcing role to clear follow-up duties, authority and compensation.
5 min read
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What if the company is already talking to micro1 or another buyer?
Confirm the owner’s current instruction, existing scope and representation limits before another party starts buyer outreach.
5 min read
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How to turn an agent-training requirement into a company search
Translate an agent task into the record families, environment and outcome evidence a company search must find.
5 min read
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Ten questions that turn a data-source discussion into a procurement decision
Turn unanswered sourcing questions into evidence requests with a responsible respondent, buyer reviewer and decision consequence.
7 min read
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Where AI teams can find industrial and construction workflow data
Map maintenance, inspection, sensor and construction records to a task, then check links, outcomes and source permissions.
5 min read
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When a clean sample does not represent the evaluation population
Explain selection, exclusions and target population so a polished sample supports the conclusion actually being claimed.
7 min read
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What proof should a referrer have before bringing a data owner?
Confirm a willing company contact and recipient-specific permission without collecting raw records or overstating source claims.
5 min read
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What makes a real company dataset legally and commercially sourceable?
Connect origin, version, permissions, privacy and technical evidence to the particular sourcing decision being made.
5 min read
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