micro1 commits $1 billion to enterprise AI data partnerships

micro1 says it will use the commitment to acquire and license operational data through its Company Data Partnerships program.[1] The company describes itself as a data lab that helps AI research companies and enterprises train frontier models and evaluate agents.[1] It says the environments it builds reflect real business operations and teach models and agents to navigate workflows, make decisions and complete complex tasks.[1] The date shown on micro1’s site is October 9, 2026.[2] Citi and Hercules Capital are named by micro1 as capital providers for the initiative.[1]

The program seeks operationally mature companies with at least 30 employees and established documentation.[3] Examples of requested material include standard operating procedures, knowledge bases, internal documentation, CRM data, project histories and quality-assurance processes.[3] micro1 also seeks information about how teams assess information and make operational decisions, as well as human feedback on AI outputs in real business environments.[3] The company says compensation depends on the quality, uniqueness and value of contributed data.[3] Its site lists $100,000+ for qualified partnerships, $500,000+ for large datasets or ongoing participation across teams and functions, and $1 million+ for highly unique, proprietary operational data valuable for frontier AI development.[3]

micro1 says participating companies retain ownership of their underlying data, and personally identifiable information is removed when relevant.[3] It says some datasets may be synthetically rewritten to reduce direct ties to original records, and companies can review representative samples before prepared data is used.[3] The environments are intended to reflect the challenges micro1 associates with real operations, including incomplete information, competing priorities and exceptions that require judgment.[2] The company says the investment will broaden the industries and workflows represented in those environments, while giving businesses a new revenue stream from operational intelligence built over years.[1]