He made $1,000,000 in 30 days brokering data to AI labs

Frontier AI labs increasingly require private company data to refine their models, creating a lucrative market for data brokering. This process involves aggregating comprehensive operational datasets—such as Slack logs, CRM entries, and internal emails—and performing rigorous de-identification to remove personal information while preserving relational context. Ideal candidates for these transactions are remote-first, white-collar businesses with at least 50 employees and three years of consistent digital history. While average deal sizes hover around $300,000, the industry is evolving to prioritize niche datasets, such as egocentric robotics training video, and potentially enterprise-level proprietary model training. Successful execution requires navigating complex legal frameworks, including 24-month exclusivity periods and specialized insurance, to protect both the data seller and the buyer. This emerging sector functions similarly to traditional M&A, where strategic packaging and professional representation significantly impact valuation and deal viability.