By: Dr. Tamara Patzer
San Francisco AI data company micro1 said on October 9 that it will spend $1 billion over the next 12 months acquiring and licensing the operating records of established companies. The effort, called Company Data Partnerships, targets the procedures, templates and workflows that show how businesses actually run. If your company runs on procedures, playbooks, saved message threads and shared documents, you may hold more of that material than you realize.
Key Takeaways
● micro1 plans to spend $1 billion over 12 months through its Company Data Partnerships program.
● It says it wants standard operating procedures, process documents, knowledge bases, workflows and templates.
● The program lists a minimum of 30 full-time employees, which excludes most U.S. businesses.
● Payment is not ensured. The company calls its estimates “indicative only.”
● Experts quoted in coverage say companies should confirm they have the right to license their files before sharing anything.
● Companies that apply keep ownership of their data, according to micro1.
What Could Count: Your Messages, Procedures and Documents
Picture a New York firm that runs on Slack channels, email chains with clients and a thick compliance binder. Any of these may be the material a buyer wants. Employers in finance, media, real estate and professional services often hold years of it, and owners tend to undervalue it because it has always just been how they work.
Owners often have their own words for it. You may call it “the way we do things here.” In this world, it is called a standard operating procedure. The binder in the back office is a playbook. How your best manager handles an unhappy customer is a workflow. The email everyone copies is a template. The shared drive nobody can search is a knowledge base. The filing cabinet of paper manuals is a document archive, and it can be scanned.
That last point matters. Paper binders, printed manuals and signed forms can be scanned, and files that already exist digitally can usually be exported. micro1’s page lists procedures, process documents, knowledge bases, workflows and templates. Message and email archives are a separate question, so ask the program which record types it accepts before assuming either way.
A short test: ask a few people who run things what a new hire needs to learn in the first year. Whatever they point to may be what a buyer wants to see. Companies near the 30 full-time employee line should count staff across every location, since the threshold applies to the business as a whole.
Why Would an AI Company Want a Company’s Paperwork?
AI models learn from public text, and public text rarely shows the step-by-step reality inside a business. A procedure for resolving a billing dispute or routing a support ticket fills that gap.
micro1 says it uses what it buys to build reinforcement learning environments, which are simulated workplaces where AI agents practice tasks and receive corrections. The market around that work is growing. Gartner put AI data spending at under $1 billion last year and forecasts nearly $6.5 billion in 2027. That is a forecast, and forecasts change.
What Does micro1 Say It Wants?
The company’s public page lists standard operating procedures, process documentation, internal knowledge bases, workflows and templates. It also lists CRM records, support tickets and project histories. micro1 says personal and identifying information is removed or transformed before data goes to third parties.
The word “de-identified” lowers risk but does not eliminate it. A 2019 study in Nature Communications, led by Luc Rocher, estimated that nearly all Americans could be singled out from 15 demographic details. For that reason, many advisers suggest that companies begin with procedures and templates, which contain no personal information, before considering anything that touches customers.
Which Companies Qualify?
The eligibility requirements describe established companies with at least 30 full-time employees. It adds that several years of records across multiple business systems make a company a stronger fit and that data should be primarily in English. Demand is strongest in the United States, the United Kingdom and Canada, though other regions may be considered.
How Many Companies Are That Size?
Few. The U.S. Small Business Administration’s Office of Advocacy counted 36.2 million small businesses in 2022, and 29.8 million of them had no employees. About 6.4 million had a payroll. Its 2025 profile lists 654,501 firms with 20 to 499 employees, and an earlier Advocacy tally counted 21,041 firms with 500 or more. Together, that is roughly 675,000 companies with 20 or more workers, and fewer with 30 or more. No public source gives an exact count at 30.
That puts the companies the program describes at about 2 percent of all U.S. businesses.
What Could a Company Receive?
As of November 7, the page lists three advertised tiers: $100,000 to $500,000 for qualified partnerships, $500,000 to $3 million for large datasets or work across several teams, and $3 million and up for highly unique proprietary data. Earlier reports quoted different top-tier figures, so readers should check the current page. The company says its first estimate is not a quote or binding offer and that every deal depends on data quality, size, access terms and due diligence. The advertised tiers are not a record of what companies have actually been paid. Nothing on the page promises that any company will receive an offer.
What Are the Catches?
The main one is rights. Rajesh Beri, writing at Beri.net on October 10, said a company can own its files without owning the right to license everything inside them. Customer contracts and confidentiality agreements may forbid use for AI training, and vendor manuals may belong to someone else. He also noted that micro1’s public terms do not say who the final buyers are, whether a license is exclusive, or who bears the cost if something goes wrong.
Employees are another consideration. If staff wrote the procedures, companies may want to settle internally how that work is handled before it is licensed. Questions about contracts belong with an attorney, not a web page.
How Does the Process Work?
The application process begins with an online estimator, an indicative estimate and a short application. If both sides proceed, micro1 identifies datasets it could license, prepares an offer and negotiates a contract. After delivery, micro1 has 30 days to review the data, and payment follows within 30 days of invoicing after approval. Companies can decline at each stage, and the page says raw data is deleted on an agreed schedule.
Frequently Asked Questions
Is micro1 assuring payment?
No. The page says each partnership is evaluated individually, and payment follows acceptance of the delivered data.
Does a company keep ownership of its data?
micro1 says companies retain ownership. The license terms, which are not published, determine what micro1 may do with the data.
Does a company have to remove personal information first?
micro1’s page says companies do not need to anonymize data themselves. Companies should confirm that in writing before sharing a sample.
Can a company with fewer than 30 employees take part?
Not in this program as described. Other AI data buyers set different thresholds.
Where can a qualifying company learn more?
Companies that meet the size requirement can review the program terms and the application form on micro1’s company data partnerships page.
Who gets to see a company’s data?
micro1’s page says it licenses data only to labs and enterprises based in the United States and allied countries, and keeps each company’s data separate from others’. It does not name the buyers.
Who handles questions about the program?
micro1 lists support and press contacts on its website, and its company data partnerships page sets out how the application process begins.
Dr. Tamara Patzer is a publisher and former newspaper editor who writes about AI and business data.
You may reach her through: info@dailysuccessinstitute.com
Sources (all read November 7, 2026)
● micro1, “micro1 commits $1B to enterprise data acquisition,” October 9, 2026: micro1.ai/blog/micro1-commits-1b-to-enterprise-data-acquisition
● micro1, Company Data Partnerships estimator and FAQ: micro1.ai/data-payout and micro1.ai/data-partnerships
● Gartner, “Gartner Forecasts Worldwide AI Spending to Grow 49.5% in 2026,” September 16, 2026, AI data spending table
● Rajesh Beri, Beri.net, October 10, 2026
● U.S. Small Business Administration Office of Advocacy, “Frequently Asked Questions About Small Business,” February 2026, and 2025 Small Business Profile for the United States (Census Bureau 2022 data)
● Luc Rocher, Julien M. Hendrickx and Yves-Alexandre de Montjoye, Nature Communications 10:3069, July 23, 2019
● micro1, Data Partnerships page, micro1.ai/data-partnerships, read November 7, 2026
Disclaimer: The author is a referral partner of micro1. This article is information, not a promise of money, and not legal advice.
