By: Dr. Tamara Patzer
When AI companies talk about data, they usually mean the open internet. San Francisco’s micro1 is pointing at something else: the mid-sized American employer. On October 9, the company said it will spend $1 billion over 12 months licensing operating records through Company Data Partnerships. If your company runs on procedures, playbooks, saved message threads and shared documents, you may hold more of that material than you realize, and it could be worth more than you expect.
Key Takeaways
- The program targets established companies with at least 30 full-time employees.
- U.S. firms with 20 to 499 employees number 654,501, according to the Small Business Administration.
- micro1 says it wants procedures, templates, workflows, knowledge bases and similar records.
- Payment is not ensured, and the company calls its estimates “indicative only.”
What Could Count: Your Messages, Procedures and Documents
Mid-sized companies are often richer in this material than they think, because they grew up writing things down to train people quickly. The onboarding guide, the sales playbook, the escalation checklist and the long email threads where managers settle hard cases may all be worth a look. A company of 30 to 500 people produces exactly these documents.
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. If you are near the 30 full-time employee line, count every location and run the online estimator. It takes minutes, and you may qualify.
Why the Middle Matters
Sole proprietors rarely write down how they work, and the largest corporations rarely share. Mid-sized companies sit between the two. They are big enough to need written procedures for onboarding, billing and customer support, and small enough that those procedures are often original, not copied from a corporate parent.
That is the material micro1 describes wanting. Its page lists standard operating procedures, process documentation, internal knowledge bases, workflows and templates, along with CRM records, support tickets and project histories. The company says it uses de-identified company data to build reinforcement learning environments, which are simulated workplaces where AI agents practice tasks.
How Big Is the Middle?
The SBA Office of Advocacy’s 2025 national profile counts 36,186,089 small businesses, of which 29,811,495 have no employees. Another 5,720,093 employ one to 19 people. The group with 20 to 499 employees totals 654,501 firms.
An earlier Advocacy tally counted 21,041 firms with 500 or more employees. Together, roughly 675,000 U.S. companies have 20 or more workers. micro1’s floor is 30, and public data does not break at that line, so the eligible group is smaller than that figure.
What the Company Says It Pays
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. The technology site Magica noted in October that such figures are not observed payouts. Earlier reports quoted different top-tier numbers, and micro1 says each partnership is evaluated individually.
The Fine Print Mid-Sized Companies Should Read
Rajesh Beri, writing at Beri.net on October 10, said owning files does not mean owning the right to license what is inside them. Customer contracts and confidentiality agreements may restrict AI training use. He also noted that micro1’s public terms leave open who the final buyers are and whether licenses are exclusive.
For a mid-sized company, those questions usually land with general counsel or an operations chief. micro1 says companies keep ownership of their data and that raw data is deleted on an agreed schedule.
How the Process Works
The application process starts with an online estimator covering size, years in business and data sensitivity. An indicative estimate and a short application follow. If both sides proceed, micro1 identifies datasets, prepares an offer and negotiates a contract. After delivery, micro1 has 30 days to review, and payment follows within 30 days of invoicing after approval.
Who Owns the Decision Inside a Mid-Sized Company
At a company of 30 to 500 people, no single department naturally owns a data-licensing question. Operations leaders know where the procedures live. Legal counsel, if the company has any in-house, knows which contracts restrict sharing. Finance cares about the money and about how revenue from a license would be recorded. Many advisers suggest naming one accountable person early so the conversation does not stall between teams.
The practical risk is not that a company says no. It is that a company says yes before anyone has read the customer agreements. Confidentiality clauses written years ago rarely anticipated AI training.
A Short Inventory That Helps
Before contacting any buyer, a mid-sized company can build a simple list. Which documents describe how work is done, and who wrote them? Which contain customer names, employee details or third-party material? Which contracts govern them? Procedures and templates that mention no individuals are the easiest category to evaluate. CRM records and support tickets are the hardest, because they may hold personal information even after cleaning.
Rocher, Hendrickx and de Montjoye wrote in Nature Communications in 2019 that 15 demographic attributes were enough to re-identify 99.98 percent of Americans in their model. The finding does not describe micro1’s process, but it explains why a sample review matters and why many companies begin with the least personal material.
What Comes After Delivery
micro1 describes a delivery and acceptance stage, with 30 days to review. The page also says raw data is deleted on an agreed schedule and that companies keep ownership. Those statements come from the company, and the written contract is where they become enforceable. Companies should ask for exclusivity, resale, deletion and liability terms in writing.
A Reality Check on Scale
A $1 billion budget sounds large until it is divided. If micro1 were to spread it across 650,000 mid-sized firms, the average would be well under $2,000. The company does not plan to do that, and nothing it has published describes how many deals it expects. The sensible reading is that the money will go to a limited number of companies whose records match what its buyers need.
That is why the advertised tiers are best treated as the top of a funnel. A company that fills out the estimator will learn what it might be told, but an actual offer depends on review of the data itself.
Frequently Asked Questions
Does a company have to anonymize its data first?
Micro1 says no, though companies should confirm that in writing.
Is there any assurance of an offer?
No. The page says payment follows acceptance of the delivered data.
Where can an eligible company start?
Companies with 30 or more full-time employees can review the eligibility requirements or start with micro1’s company partnership page.
What does a company get besides payment?
micro1’s page says companies may also benefit from improvements tied to their use cases. It does not say what those improvements are.
Who can I ask at micro1?
Start with micro1’s application page, linked in this article.
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-estimate
- U.S. Small Business Administration Office of Advocacy, 2025 Small Business Profile for the United States (Census Bureau 2022 data)
- Magica editorial team, “Micro1 pledges $1 billion for business data in an already contested market,” October 2026
- Rajesh Beri, “micro1 commits $1B to buy enterprise data for AI training,” Beri.net, October 10, 2026
- 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.
