The freshness problem
A model trained on data from two years ago does not know today's products, prices, slang or situations. Keeping models current requires fresh data — continuously.
How deals reflect it
Reported licensing agreements are typically multi-year with ongoing access — Reddit's disclosed contracts and publisher deals are structured over years, not as one-time transfers (SEC filing).
What this means for companies
A company that keeps operating keeps generating data. Ongoing supply relationships can turn a data archive into a recurring revenue stream rather than a single payment.
What this means for partners
One introduction can lead to an ongoing relationship. You earn 25% of SourceX's collected fee, up to $100,000 per company, as deals close and fees are collected.
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Common questions
Why do AI buyers prefer an ongoing data supply?
AI buyers increasingly want ongoing data supply because models need fresh information to stay current. As the world changes, models trained on older data do not know new products, prices, or situations, necessitating continuous updates.
How do data licensing agreements reflect the need for fresh data?
Data licensing agreements often reflect this need by being multi-year with ongoing access. Publicly disclosed contracts, like those from Reddit, are structured over years for continuous data supply, not as one-time transfers.
What does ongoing data supply mean for data-generating companies?
For companies that continually generate data through their operations, ongoing supply relationships can transform a data archive into a recurring revenue stream. This approach offers sustained income rather than a single, one-time payment for their data.
How can partners earn from facilitating ongoing data deals?
Partners can earn from facilitating ongoing data deals, as one introduction can lead to a lasting relationship. They receive 25% of SourceX's collected fee, up to $100,000 per company, as deals close and fees are collected.
