What it takes
Operational material: SOPs, knowledge bases, internal documentation, CRM data, project histories and QA processes, plus decision patterns and human feedback on AI outputs. It is used, de-identified, to build reinforcement-learning environments.
(micro1, checked 18 Oct 2026)(micro1, checked 18 Oct 2026)
Published payouts
Three tiers: $100K to $500K for qualified partnerships, $500K to $2M for large datasets or ongoing work across several teams, $2M+ for highly unique proprietary data. It says payments typically run from $150K to over $2M, and it licenses qualifying agent trajectories for $1M to $2M a year. Its estimate page shows an indicative $50,284 to $92,776, described as not a quote or binding offer. Pay depends on quality, uniqueness and value.
(micro1, checked 18 Oct 2026)(micro1, checked 18 Oct 2026)
How it pays
A lump sum for the initial data. After transfer, micro1 has 30 days to review and approve it; the company then invoices and is paid within 30 days. Agent trajectories are licensed per year. Companies keep ownership, can review samples before use, and data is licensed only to labs and enterprises in the US and allied countries.
(micro1, checked 18 Oct 2026)
Referral fee
$50,000 for enterprise deals up to $700,000, or 7.5% of the deal value above that. For companies that no longer operate: $75,000 for deals up to $1 million, or 7.5% above. Paid by wire once the referred company reaches set milestones.
(micro1, checked 18 Oct 2026)
Also on record
On 9 October 2026 micro1 committed $1B over 12 months to enterprise data acquisition, with capital from Citi and Hercules Capital. Forbes reported a raise of over US$100M at a US$4B valuation, and a late US$12.5M bid for part of Spirit Airlines' data, which Google won at US$10M.
(micro1, checked 18 Oct 2026)(TNW, checked 18 Oct 2026)(Forbes Australia, checked 18 Oct 2026)