The problem with raw data
Company data lives in the systems that produced it: helpdesk exports, CRM dumps, document stores. Raw exports are usable by the company but not by a buyer.
What structuring adds
- Organization. Records grouped, formatted and indexed consistently.
- Documentation. What the data contains, where it came from, how it was prepared.
- Evaluability. Buyers can assess quality and coverage before purchase.
Who does the work
SourceX handles structuring as part of preparation — companies do not need to organize their data before an introduction. Messy data is expected and normal.
What this means for partners
Never let a company's data condition stop an introduction. If it has 50+ full-time employees at peak and years of history, introduce it. If a deal closes and SourceX collects its fee, you earn 25% of that fee, up to $100,000 per company.
Refer a company · How rewards work
Common questions
What is data structuring?
Data structuring converts raw system exports into organized, documented datasets. It allows buyers, such as AI labs and data buyers, to evaluate and use the data effectively. This process ensures consistency and clarity for potential purchases.
What benefits does data structuring provide?
Data structuring organizes records consistently, provides documentation on content and origin, and enhances evaluability for buyers. This allows AI labs and data buyers to assess data quality and coverage before making a purchase. It transforms messy raw data into a usable format.
Who performs the data structuring work?
SourceX handles data structuring as part of its data preparation process. Companies do not need to organize their data before an introduction, as messy data is expected and normal. This service prepares company data for AI licensing.
How do rewards for partner introductions work?
Partners earn 25% of the fee SourceX collects from a deal, up to $100,000 per company. This reward is paid after a deal closes and SourceX collects its fee. Introductions should be for companies with 50+ full-time employees at peak and years of history.
