SourceX targets enterprises that wish to license their own operational data to AI labs, positioning itself as an enterprise data transaction layer. Its core idea is: AI labs need real-world business data to train models, and much of this data is held inside enterprises; SourceX provides a compliant, controllable channel that allows enterprises to turn years of accumulated business records into a new source of revenue, while the enterprise itself approves the scope of sharing.
[Purpose and Target Audience] According to the information, SourceX is suitable for enterprises that have large amounts of real business records and wish to license them to AI developers. The most suitable enterprise size is 50 or more full-time employees at peak (excluding contractors), with several years of operating history. Geographically, the United States is preferred, and Canada and the European Union are also included; enterprises in Latin America, the UAE, or Saudi Arabia may also be eligible when at least 90% of the data is in English. Companies that are still operating, have been acquired, or have ceased operations may all be eligible.
[Types of Data That May Be Involved] Data that can be included comprises: customer support conversations (customer questions, responses, and resolution outcomes); business workflows (tasks, decisions, and actual outcomes); approved documents and structured business records. Data may come from support, CRM, documentation, and collaboration tools the enterprise is already using. Examples of sources listed in the information include Salesforce Service Cloud, Salesforce Sales Cloud, Microsoft Dynamics 365, Chorus by ZoomInfo, Zoom Revenue Accelerator, GitHub Enterprise, Jira / Jira Service Management, Microsoft SharePoint, Google Drive / Workspace, QuickBooks Online, and Autodesk Construction Cloud. The relevant names are for reference only and do not indicate any partnership or endorsement relationship. The specific data sources and export methods are confirmed during the scoping stage.
[How It Is Used and the Process] The first step is a suitability check: it is completed through a few quick questions, requires no data upload, and does not constitute any commitment. If the process continues, SourceX will conduct scoping, confirm the relevant sources and export methods, and provide a proposal for the licensing transaction. The enterprise decides whether to continue; it may withdraw at any time at no cost before signing an agreement. The selected data must undergo privacy preprocessing and review agreed upon by both parties, and the data will only be released after the enterprise approves the scope.Contracts, delivery, and payment are managed uniformly by SourceX.
[Control and Privacy Mechanisms] The information emphasizes that data will not leave the company before the enterprise consents. The enterprise chooses what to share, personal details enter a privacy review process, and how the buyer may use the data is written into the agreement approved by the enterprise. There must be a basis before release, for example, personal details have been de-identified.
[Standard Transaction Terms] The standard terms are a one-time fee, with no royalties. SourceX's written selection can trigger invoicing, and the payment term is Net 60 after SourceX receives the invoice. The enterprise retains ownership of the original data; the corresponding rights to the preprocessed dataset, exclusivity, review, and confidentiality matters are determined by the agreement signed by both parties. Exclusivity is usually required, meaning that during the exclusivity period the enterprise may not license the same data to other parties for AI training; this restriction binds the enterprise, not SourceX, and SourceX reserves the right to distribute or sublicense de-identified datasets. The exclusivity period will be shown before consent.
[Restrictions and Notes] The information does not provide specific prices, fee amounts, data valuations, or transaction sizes, nor does it explain the specific technical implementation, supported language scope, or delivery format. Whether a transaction is reached depends on the suitability check, scoping, and the agreement between both parties. The suitability check will not request customer or employee records.