The company’s partner programme rewards qualifying introductions that lead to completed and paid business data licensing transactions.

Company introductions, rights review and a licensing agreement are distinct parts of the potential transaction.

Partner content from SourceX

Business owners are being asked a new question about records created through everyday operations: could selected, appropriately licensed material help train or evaluate AI systems?

SourceX manages business data licensing transactions and offers a referral programme for people who can introduce qualifying companies. The proposition gives operators, advisors and other connected professionals a way to participate without supplying a dataset themselves.

The practical starting point is an introduction to an owner, executive or authorised decision-maker. SourceX then assesses the company’s history, records, rights and fit for a potential licensing transaction.

How the partner reward works

Under the standard terms of the referral program explainer, eligible partners earn 25% of the actual compensation SourceX pays a qualifying referred company. Rewards are capped at US$100,000 cumulatively per company, including across installments, agreements and renewals, unless signed terms provide otherwise.

The article illustrates the rate with a US$120,000 actual supplier payout.

The payout base excludes separately itemised taxes and expense reimbursements. The reward is paid separately by SourceX and is not deducted from the company’s agreed supplier compensation.

A hypothetical US$120,000 supplier payout would produce a US$30,000 referral reward at the standard rate if the referral and transaction satisfied the terms. That example describes the calculation only. It does not establish a typical supplier payout or expected earnings.

An introduction, meeting or signed agreement alone does not trigger a payable reward. The conditions include buyer acceptance, cleared buyer payment, payment of supplier compensation, SourceX finance approval and the partner’s required payment and tax details.

Illustration: The article illustrates the rate with a US$120,000 actual supplier payout.

What companies the programme looks for

The published referral materials identify companies with at least 50 full-time employees at peak, excluding contractors, as the relevant starting point. SourceX looks for operational history, business systems and rights to license the selected records.

The programme can consider different company situations when authority and criteria are established.

Potential material can include support conversations, internal documentation and other records of business work. Whether a specific collection qualifies depends on its content, usefulness, rights and the proposed transaction.

Operating companies, acquired businesses and wound-down companies may be considered. In the latter cases, an authorised representative must be able to establish control of the relevant assets and records. A business having ceased trading does not by itself make its records available to license.

SourceX prioritises companies in the United States. Its referral materials also identify Canada and the European Union, plus the United Kingdom, Australia, New Zealand, India, Singapore, South Africa, Latin America, the UAE and Saudi Arabia where at least 90% of the data is in English. Current sourcing criteria should be checked before introducing a company.

Why AI developers may seek operating history

A business process can involve information spread across several tools. A service request might move from a support queue to an internal discussion, require an approval and finish with a documented resolution.

AI training and evaluation may need the path of a task, not just its final document.

Such records may help describe the context around a task: what information was available, which action was taken and what followed. Different training and evaluation projects need different kinds of evidence, so a connected history can be more relevant than an isolated final document.

That relevance does not eliminate the need for review. Some material may be restricted by contracts, contain sensitive information or lack the context a buyer needs. Dataset selection and preparation are part of establishing whether a proposed use is practical.

The SourceX enterprise data platform describes a managed process covering agreements, rights review, preparation, delivery and supplier compensation. Companies review the proposed scope and terms before agreeing to a transaction and authorising release.

What prospective partners should do first

New partners need an approved account and must sign the required channel partner agreement before submitting introductions. The programme credits one eligible partner per company under its attribution rules. Pre-existing SourceX relationships and duplicate introductions can be excluded.

Prepare a substantive introduction once partner approval and the required agreement are complete.

Prospective partners can begin by identifying a company whose business they understand. A useful introduction explains the company’s activity, approximate peak full-time headcount, operating history and authorised contact. Initial conversations do not require sending customer or employee records.

SourceX also provides partner resources, including a company fit checker, an introduction email builder and a data inventory builder. These can help structure a conversation; a preliminary fit result is not an approval or a valuation.

People acting in a professional capacity should check any employer, client or licensing restrictions on accepting referral fees. The potential reward should be disclosed where relevant so that the business can assess the introduction with a clear understanding of the relationship.

For someone who already knows a suitable company, participation starts with reviewing the programme and asking whether an introduction would be welcome. The commercial opportunity remains conditional on the company, its records and the transaction that follows.

About the Founder

Noah Loul is a four-time founder and the founder of SourceX, helping businesses monetize their proprietary data autonomously for AI training and development. His ambition is to build the world’s largest data infrastructure, powering today’s AI and tomorrow’s superintelligence.