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Program explainer, published facts only

micro1 Enterprise Data Partnership: the program as published

Last checked: 7 October 2026, against micro1's own program and referral pages

micro1 publishes a program that pays companies to license operational data, such as SOPs, CRM records and project histories, for training and evaluating AI models. This page sets out what the program says about eligibility, payouts, process and privacy, in micro1's own published words.

$100k+Published tier for qualified partnerships
$1M+Published tier for highly unique data
30+Employees, the published minimum
4 stepsIn the published process

Independent site: we are not a partner, agent or representative of micro1. Some links are referral links: if your company signs with a buyer through them, the buyer may pay us a fee. You are not charged, and we never see your data.

The short version

What the program is

One definition, then the two things this page is not.

micro1 Enterprise Data Partnership
A program in which micro1 licenses operational data from companies, such as process documents, CRM data and project histories, and pays them based on, in its words, "the quality, uniqueness, and value of the data provided." micro1 describes the purpose as helping train and evaluate frontier AI models with records of how real businesses operate.

The headline on micro1's page is "Monetize your company's operational data." In this arrangement micro1 is the licensee, and your company is the licensor.

This page is not a review. It does not rate micro1; it quotes and dates what micro1 publishes, so you can compare it with the other programs on our buyer programs comparison. And this site is not micro1's partner, agent or representative. We cannot promise acceptance, an amount or a timeline. Only micro1 decides those.

What it asks for

The three kinds of data micro1 says it wants

micro1's FAQ says the most valuable datasets "capture real operational expertise, decision-making processes, and repeatable workflows."

Operational documentation

SOPs, knowledge bases, internal documentation, CRM data, project histories and QA processes. The FAQ adds process documentation, workflows, templates and operational frameworks.

Decision-making patterns

Described as "how teams evaluate information and make operational decisions": the reasoning around documents, not only the final document.

AI performance feedback

"Human feedback on AI outputs in real business environments to improve model performance." This can mean new work by your staff, so ask what it requires.

Industries micro1 lists as examples

micro1 says operational data "from every industry can contribute." These six are the examples on its page, each with micro1's own description.

Software and engineering

"Source code documentation, engineering workflows, bug tracking, product planning, and technical knowledge bases."

Finance and accounting

"Financial processes, SOPs, reconciliations, approvals, reporting workflows, and operational documentation."

Customer support

"Support documentation, ticket workflows, QA processes, customer operations, and knowledge management."

Sales and CRM

"CRM data, sales processes, playbooks, customer lifecycle documentation, and revenue operations."

Legal and contracts

"Policies, contract workflows, review processes, governance documentation, and compliance procedures."

Operations and logistics

"Operational SOPs, logistics processes, fulfillment workflows, inventory management, and internal operations."

The common thread in all six examples is process: how a reconciliation gets approved, how a ticket moves to a fix, how a contract is reviewed. Customer lists, marketing copy and public material do not appear in micro1's examples. A company outside these six sectors is not ruled out by the list itself; what matters under the published wording is whether its records show how work is actually done.

Eligibility

Who micro1 says can take part

Published criteria, checked 7 October 2026. These are the program's rules, not our assessment.

  • Size: 30+ employees, per the data-partnerships FAQ. micro1's referral posting describes the target range as 30 to 200 employees.
  • Maturity: "operationally mature" companies with established documentation and high-quality operational data, run on modern software tools.
  • Language: primarily companies that operate and document their work in English; representatives must communicate with micro1 in English.
  • Location: US companies first, then other Western markets. Referrals are accepted globally; demand is strongest in the United States, the United Kingdom and Canada.
Fewer than 30 people, or records mostly in another language? Other programs may fit better. Our eligibility checker compares your answers with each program's published minimums in your browser. Nothing is sent.
Compensation

The payout tiers micro1 publishes

micro1 says compensation is "based on the quality, uniqueness, and value of the data provided," and that each partnership is evaluated individually.

Published figuremicro1's wordingWhere it appears
$100k+"Qualified Enterprise Data Partnerships"Data-partnerships page
$500k+"Large-scale operational datasets or ongoing participation across multiple teams and business functions"Data-partnerships page
$1M+"Highly unique, proprietary operational data with significant value for frontier AI development"Data-partnerships page
$100K-$2M+"for approved data packages"Company-referral page

Last checked: 7 October 2026. Sources: micro1.ai/data-partnerships and micro1.ai/company-referral, read via their public pages.

The five factors micro1 names, one by one

micro1 lists these factors without weights or formulas. The factor names are micro1's; the notes under each are our plain-language reading of what a seller can check in advance.

1. Dataset size and volume

How much there is: the number of documents, tickets, records or messages, and how many years they cover. More records of the same kind of work give a buyer more examples to learn from.

2. Workflow complexity

How many steps, people and systems a typical piece of work passes through. A case that moves from request to investigation to decision to reply shows more of how work is done than a single form.

3. Data quality

Whether records are complete, consistent and connected: tickets linked to their resolution, CRM notes that explain a decision, SOPs that match what people actually do.

4. Domain expertise represented

How much specialist judgment the records capture, such as an accountant's review notes or an engineer's code reviews, as opposed to routine administration.

5. Uniqueness

Whether the knowledge exists anywhere else. micro1's top published tier is worded as "highly unique, proprietary operational data." Public, duplicated or generic material does not fit that description.

Beyond the payment

micro1's FAQ says participating companies "may also benefit from improvements tied to the specific use cases they contribute." It gives no further detail, so ask what that means before you count on it.

How to read these figures. A number with a plus sign is the floor of a published tier. It is not an average, a forecast or an offer. Nobody, including this site, can tell you what your data is worth before the buyer has reviewed it.
Process

The four steps, as micro1 describes them

micro1 calls it "a simple, privacy-first process designed for long-term participation." It publishes no timeline.

1

Get started

"A simple assessment process designed to identify the right partnership for your company."

2

Evaluation

micro1's team reviews your submission to determine whether your company is a fit.

3

Discovery

If there is a potential fit, micro1 requests more information and schedules a discovery call to discuss your data and privacy requirements. That call is with micro1; this site takes no calls.

4

Partnership

If approved, micro1 finalizes the agreement and data requirements, and the partnership begins.

micro1 gives no timeline. Across the market, deals of this kind take weeks to months, and practitioners cite 60 to 90 days to close. See how long an AI data deal takes.

If your company arrives through a referral

micro1's FAQ describes the path for referred companies separately. As published, checked 7 October 2026:

  1. Consent first. micro1's referral terms require the referrer to obtain the consent of an authorized representative of your company before submitting it.
  2. Review. After the referral is submitted, the micro1 team reviews the company.
  3. Initial AI interview. micro1 guides the company through an initial AI interview, which "helps assess whether the company and its data are a good fit for the program."
  4. Qualification. Companies that meet the qualification criteria move forward. Under the referral terms, micro1 decides in its sole discretion whether a referred company is appropriate, so a referral is an introduction, not an endorsement.
  5. Partnership discussions and agreement finalization. Scope, data requirements and terms are worked out and the agreement is finalized.
  6. Onboarding. Once onboarding is complete, the company can begin participating in the program.
micro1 says referrals are tracked on its referral platform "from application through qualification, signing, activation, and payout." Those stages concern the referrer's reward. For your company, the steps that matter are the interview, the agreement and onboarding.

Corpus or workflow partnership?

micro1's referral materials name two partnership types and tie each to a different payout trigger.

Corpus partnership

The referral payout for this type comes "after data is accepted." The name and that trigger point to a defined body of existing records that is delivered and then checked by the buyer.

Workflow partnership

The referral payout for this type comes after onboarding and a minimum revenue threshold. Read with the $500k+ tier wording ("ongoing participation across multiple teams"), it points to participation over time.

micro1 does not define either type in detail. Ask which one you are offered: it changes what you deliver, for how long, and how you are paid.
Privacy statements

What micro1 says about data protection

Quoted and summarized from micro1's data-partnerships page and FAQ, checked 7 October 2026.

Agreed before any participation

  • Approved data scope and clear boundaries, agreed in writing
  • Security and confidentiality standards
  • Anonymization and redaction requirements
  • Internal approval processes and permissions
  • Companies retain ownership of their underlying data

How micro1 says data is handled

  • Personally identifiable information removed when relevant; sensitive and confidential information scrubbed; no customer information exposed
  • Access limited to a few authorized team members on company-managed devices
  • Isolated pipelines that keep each engagement separate
  • Some datasets may get "synthetic rewrites" that keep workflow structure while reducing direct ties to original records
  • Review of representative samples before prepared data is used
  • Retention only for agreed periods; originals deleted after processing; deletion on request or at the end of the engagement under the agreed terms

These are statements on a public page. With any buyer, the agreement you sign governs, so ask for the points that matter to appear in it. See de-identification before selling data for what to verify.

Read closely

What the public pages state, and what they leave to the agreement

A summary of micro1's public program pages as they read on 7 October 2026. This is a description of the pages, not an assessment of the program.

Stated on the pages

  • Eligibility: 30+ employees, operational maturity, English, regional priorities
  • Three payout tiers, plus the $100K-$2M+ range on the referral page
  • Five factors that determine compensation
  • A four-step process and a separate path for referred companies
  • Privacy, handling, retention and deletion statements
  • That companies retain ownership of their underlying data

Not set out on the public pages

  • A timeline from application to payment
  • A sample agreement or contract outline
  • Exclusivity, resale or downstream-use terms
  • Warranty, indemnity or liability terms
  • A payment schedule: one-off or recurring, milestones, acceptance criteria
  • Detailed definitions of corpus and workflow partnerships
Program pages of this kind generally leave such terms to the individual agreement, because each deal has a different scope. That is why the questions further down are meant for the draft contract, not for the website.

Searching "micro1 legit"? How to check any data buyer

We do not rate buyers. The same four checks apply to micro1, to every other program and to a lab you approach directly.

  1. Read the terms. The program pages, any referral or partner terms, and above all the draft agreement you would sign.
  2. Check exclusivity and indemnity. Can you license the same data to anyone else, and who pays if de-identification misses something?
  3. Ask for a sample contract before you export anything, so you can review the paper itself and not only a summary.
  4. Talk to your own lawyer, especially if your records include client-confidential, employee or regulated data.
Before you sign

Questions every seller should ask any buyer

These apply to every data deal. They are not claims about micro1 or about any other company. The full list is on our page of questions to ask a data buyer.

Exclusivity and resale

Is the license exclusive, time-limited or non-exclusive? May the buyer resell or pass the data on?

Scope of use

Training only, or evaluation too? Which downstream customers may receive the data?

Indemnities and warranties

Who pays if something identifying slips through? Is liability capped, and does it expire?

Consent and client duties

What must you confirm about employee, customer and client consent, and do client contracts rule records out?

Payment structure

One payment or recurring? Which milestones and acceptance criteria release the money?

Audit rights

Can you verify the de-identification, or see evidence of it, before the data is used?

Deletion and exit

When are originals and the copy deleted, and which obligations survive termination?

See also our clause-by-clause outline of an AI data licensing agreement.

Before you apply

A preparation checklist for any buyer

Generic steps that apply whether you apply to micro1, another program or a lab directly. None of them requires sending data to anyone.

  • A manifest. A list of what exists: systems, record types, date ranges and rough volumes, without the records themselves. Practitioners advise sharing a manifest and samples first and never sending a full dataset before there is a price.
  • An exclusions list. What will never be included: client-confidential matters, HR and payroll files, health information, payment details, anything under a third-party NDA, and credentials or secrets found in documents.
  • Your client contracts. Check the confidentiality and data-use clauses in your client agreements before any client work goes into scope.
  • Staff notice. Decide how and when employees learn that their messages or documents are in scope, and who answers their questions.
  • Who signs. Name the internal owner of the project, the person who signs, anyone who must approve (board, partners, investors) and the lawyer who reviews the agreement.

Common mistakes sellers make with any buyer

General patterns in data deals, not observations about micro1 or any other company.

Sending everything up front

A full export before price and terms are agreed removes your leverage. A manifest and samples are enough to start.

Reading a tier as a quote

"$100k+" describes a tier. Your number depends on review, and it can come in lower than you hoped or not at all.

Taking the first offer

Practitioners advise getting more than one offer and comparing terms, not only price. Our program comparison shows the options.

Scoping before checking clients

Promising a dataset and then finding client contracts forbid it wastes everyone's time and can create liability.

Leaving "accepted" undefined

If payment depends on acceptance, the acceptance criteria decide when, and whether, you are paid. Get them in writing.

Treating web statements as terms

Privacy promises on a website are not clauses in your contract. Ask for the ones you rely on to be written into the agreement.

Fit the published criteria? Apply directly to micro1

If your company meets the rules above, you can apply through our link. micro1 decides whether to proceed, what to offer and when. We play no part after the click.

Independent site: we are not a partner, agent or representative of micro1. Some links are referral links: if your company signs with a buyer through them, the buyer may pay us a fee. You are not charged, and we never see your data.

Introducing a company rather than applying for your own? micro1's referral terms (updated 24 September 2026) set the rules for referrers. Our page on data referral programs summarizes them.

FAQ

micro1 data partnership: common questions

What is the micro1 Enterprise Data Partnership?

It is a program, published on the micro1 website, in which micro1 licenses operational data from companies, such as SOPs, knowledge bases, CRM data and project histories, to help train and evaluate AI models. micro1 says compensation is based on the quality, uniqueness and value of the data. Checked 7 October 2026.

Who can apply to the micro1 data partnership?

As published on 7 October 2026: operationally mature companies with 30 or more employees, established documentation and modern software tools, operating primarily in English. micro1 prioritizes US companies, then other Western markets, and says demand is strongest in the United States, the United Kingdom and Canada.

How much does micro1 pay companies for data?

micro1 publishes tiers of $100k+ for qualified partnerships, $500k+ for large-scale or ongoing participation and $1M+ for highly unique data, and its referral page cites $100K-$2M+ for approved data packages. These are published tiers, not averages or offers. Each partnership is evaluated individually.

Is the micro1 data partnership legit?

We do not rate buyers. Use the same checks for any data buyer: read the program pages and the draft agreement, check the exclusivity and indemnity terms, ask for a sample contract before you export anything, and have your own lawyer review it before you sign.

Does my company keep ownership of its data?

micro1 states that companies retain ownership of their underlying data. What the buyer may do with the licensed copy, for how long and for which purposes is set by the agreement, so check the scope of use, retention and deletion terms in the contract itself.

Is this site part of micro1?

No. Sell Data to AI is independent and is not a partner, agent or representative of micro1. Our apply link is a referral link: if your company signs, micro1 may pay us a fee. You are not charged, and we never see your data.