Imagine a release note: “Fixed intermittent sync failure for enterprise customers.”
Behind it sits a week of escalations. The network hypothesis fails. A support engineer spots a shared timezone setting. One line of code finally fixes the issue.
The release note records the answer. Your internal systems may still explain the week.
SourceX offers qualifying companies up to $4M to license operating records for AI training and evaluation. Actual offers depend on eligibility, rights, quality and buyer demand; not every collection qualifies.
Follow the investigation across systems
The help desk captures symptoms. The issue tracker records hypotheses. A code review explains the change, and a customer confirmation establishes whether it worked.
The original SWE-bench research assembled 2,294 tasks from real GitHub issues and corresponding fixes. It shows how software history can support defined AI tasks. Private engineering records require their own assessment of useful context and permitted use.
Keep what makes the case explainable
Preserve unsuccessful patches, versions and event order. Keep later discoveries out of an input asking what an agent should do earlier. Say when evidence is missing.
“Closed” may mean the customer confirmed a fix or simply stopped replying. Someone who knows the workflow should explain the distinction. Client code and contracted deliverables also need separate rights checks.
Assess the company and the proposed license
Best-fit suppliers generally reached 50 full-time employees at peak, retain several years of history and meet supported-location requirements. Israeli businesses should verify eligibility directly; Israel is not named in the published location criteria.
SourceX starts with company information and no raw uploads. It handles agreements, preparation and payout for approved records, with supplier approval of scope and release. Standard terms offer a one-time fee and request AI-training exclusivity. Review both before signing.
Lead a business with connected support and engineering history? Check whether your company qualifies with SourceX. Start with the fix that took one line and the investigation your team still remembers.
About the founder
Noah Loul is 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.
This article was written in cooperation with Tom White