SourceX is an enterprise data licensing platform that connects businesses with AI labs, managing rights review, de-identification, contracts and payment.
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Get ListedSourceX is an enterprise data licensing platform that lets businesses license operational data to AI labs. The company describes itself as the enterprise data transaction layer for AI, acting as a managed intermediary between organizations that hold everyday work records and the AI developers that need that material for model training. The core problem SourceX addresses is a supply gap: most openly available text has already been used, scraped datasets carry legal and reputational risk, and the richest record of how real work gets done, including support tickets, engineering histories, sales cycles and internal documents, sits behind company firewalls. SourceX targets organizations in the United States, Canada and the EU with at least 50 full-time employees and several years of operating history. The company is headquartered in Los Angeles, California.
Five stage transaction workflow. Every deal moves through Supply, Rights, Preparation, Approval and Delivery, presented as a tabbed progress panel. Each stage carries a short definition, beginning with identifying relevant business data and defining records, scope and licensing fit, and each subsequent step is documented before release.
Fit assessment estimator. A five question check covering peak full-time headcount, years operating, company status, industry and data type. It requires no file uploads and returns an indicative percentage as answers are entered. The tool is positioned for companies with 50 or more full-time employees at peak headcount, excluding contractors.
Rights review and legal framework. SourceX reviews licensing rights before any agreement and publishes a legal framework alongside a trust center. Supplier confirmation and review are recorded as part of the transaction, and exclusivity, review and confidentiality terms are set by the signed agreement.
Privacy preparation and de-identification. Personal details are removed before anything is shared. The site illustrates the process with sample support text in which names and company identifiers are replaced by bracketed placeholders.
Evidence packet before release. Each prepared packet documents where the data came from, the licensing rights, permitted uses, the dataset specific privacy process and the release authorization. Nothing leaves the supplier until the scope is approved.
Dataset catalog spanning three data families. The data library covers support and communication records such as cases, escalations and expert responses, workflow and engineering records built around issue, review and resolution chains with context, action and outcome, and documents and knowledge such as approved documents, structured records and accumulated domain knowledge.
AI lab buyer directory. SourceX profiles the developers building with business data, including OpenAI, Meta, Google, Anthropic and Amazon, with an individual page per buyer describing what each company builds. The site states SourceX is not affiliated with or endorsed by those companies.
Broad source system compatibility. Records can be drawn from customer and support platforms such as Zendesk, Intercom, Salesforce Service Cloud, ServiceNow and Genesys Cloud, from CRM tools such as HubSpot, Microsoft Dynamics 365, Pipedrive and Gong, from engineering systems such as GitHub Enterprise, GitLab, Bitbucket, Azure DevOps and Jira, from document stores such as SharePoint, Google Drive, OneDrive, Box, Confluence and Notion, and from finance, legal and operations software such as NetSuite, QuickBooks Online, Xero, Sage Intacct, iManage, NetDocuments, DocuSign CLM, Ironclad and Procore.
A company starts with the fit check, answering five questions about headcount, operating history, status, industry and data. No files are uploaded and no commitment is made at this stage, and a supplier can withdraw at any point before signing at no cost. When the check indicates a potential fit, SourceX moves into sourcing and defines the record sets, scope and licensing angle. The rights stage confirms and reviews the supplier's authority to license the material. Preparation covers dataset specific privacy work, including removal of personal details. Approval is explicit: SourceX presents the scope, the supplier authorizes it, and the transaction agreement sets permitted use, exclusivity, review and confidentiality. Delivery follows release authorization, and payment arrives as a one-time fee after SourceX selects the data in writing. Once selection and payment occur, the license to the deidentified dataset is permanent.
A BPO or contact center operator with years of support transcripts. Zendesk, NICE CXone or Amazon Connect records hold resolved cases and escalation patterns. SourceX scopes the relevant conversations, strips personal details and prepares a dataset aligned with the support and communication category in the data library.
A software engineering organization with a deep issue history. GitHub Enterprise, Jira and Azure DevOps exports capture issue, review and resolution chains along with working context and expert decisions. These map to the workflow and engineering dataset family, giving model builders paired actions and outcomes rather than raw code alone.
A legal operations team or law firm with approved document sets. Contracts, structured records and accumulated domain knowledge correspond to the documents and knowledge category. Rights review matters most in this scenario, and the legal framework page explains how permitted use is written into the agreement.
A sales organization with CRM and call data. Salesforce, HubSpot and Gong records show how deals progress through a pipeline, and SourceX can relate those records to buyer profiles such as the labs building assistants and agents.
A recruiting or staffing firm with workflow histories. Candidate pipelines and placement workflows appear among the industries listed in the site navigation, and the fit check places an initial estimate on whether those records qualify.
SourceX is built for established companies rather than early stage startups. The qualification bar is 50 or more full-time employees at peak headcount, several years of operating history, and a base in the United States, Canada or the EU, though companies that are still operating, acquired or wound down can all qualify. Typical internal stakeholders include legal operations, data governance, finance leadership and general counsel. Alternatives include approaching AI labs directly, working with data labeling and collection vendors, or using traditional data brokers. SourceX differentiates by handling sourcing, rights, preparation, contracts and delivery through one relationship.
