micro1 vs Handshake AI: Which Company Data Partnership Is Better?

The short answer

micro1 and Handshake AI both seek records that show how real businesses operate: customer requests, internal discussions, decisions, workflows and results. If your company has years of that history, either program could be worth approaching.

The clearest difference is eligibility. Handshake targets companies with at least 20 full-time employees and three years in business. micro1 targets operationally mature companies with 30 or more employees, established documentation and mostly English-language records, with the United States its first priority.

The other difference is transparency about deal terms. micro1 publishes standard licensing terms that explain acceptance, payment conditions and downstream use rights. Handshake describes scoping, de-identification and confidentiality, but does not publish an equivalent seller license. That does not make either deal better. It means Handshake's agreement is essential reading before choosing.

Comparing micro1 or Handshake AI with another program? See micro1 vs Mercor, micro1 vs Scale AI and Mercor vs Handshake AI.

micro1 vs Handshake AI at a glance

Which businesses qualify?

Handshake has the more accessible published size threshold. A 25-person company with five years of operating history meets its headline employee and age criteria, although it still has to pass commercial and data-quality review. That same company sits below micro1's stated 30-person enterprise target.

A 60-person company with mature records could be relevant to both. The better fit depends on the industry, how much history is available and whether the records reveal actual work rather than disconnected files.

micro1 prioritizes American businesses and primarily English-language documentation. Its program is interested in customer support, sales, logistics, accounting and technical operations, particularly when the records show decision-making and repeatable processes. Handshake also wants real operating knowledge but names a broader set of source applications, including design, payroll, accounting and field-service tools.

Do not confuse three years in business with three years of useful data. A company may have operated for a decade while retaining only recent records. Before approaching either program, establish what you still have, whether the records connect to outcomes, and what you have the rights to share.

What kind of company data do they actually want?

Both companies are interested in the context behind work. A construction contractor's estimate on its own may say little. Link it to the original request, supplier pricing, change orders, project decisions, completion records and callbacks, and it begins to tell the story of how the company operates.

micro1 explicitly names standard operating procedures, knowledge bases, engineering processes, CRM histories and quality-assurance records. It also wants examples of people evaluating information and making decisions, as well as feedback on AI performance in business environments.

Handshake lists workplace messages, documents, design tools, finance software and industry systems. Handshake uses these records to build realistic environments in which AI models learn to perform business tasks.

A spreadsheet full of customer names is not a valuable data partnership by itself. The more important question is whether the records contain original, usable workflows and results, and whether any buyer currently needs those particular examples.

Which pays more: micro1 or Handshake AI?

Public payout ranges cannot settle this. micro1 advertises $100,000 or more for qualified enterprise partnerships, $500,000 or more for large datasets or participation across multiple teams, and $1 million or more for highly distinctive operational data. Its online estimator labels the figure preliminary and not a binding offer.

Handshake advertises a range of $100,000 to $4 million for company data partnerships. Any figure from its intake is indicative and depends on the data sources, volume, quality, due diligence and the final licensing agreement.

It is tempting to conclude that Handshake has the higher ceiling. That would be a mistake. micro1's top category is open-ended, while Handshake's range is marketing, not a set of completed comparable transactions. The two programs do not publish enough matched seller results to establish who usually pays more.

Ask each company to value the same historical dataset first. Keep the years, systems, record types and exclusions constant. Then negotiate future updates, additional rights or extra preparation separately. A larger number for a substantially larger delivery is not a better price.

How does getting paid work?

micro1 publishes a useful starting point. Under its Data License Master Terms dated October 7, 2026, it has 30 business days after delivery to reject data in writing. If it does not reject it within that window, the data is treated as accepted. The seller can invoice after acceptance, and the signed order form determines when payment becomes due. Thirty business days is an acceptance window, not a promise to wire the money by that date.

The terms also permit rejection of nonconforming data, and the seller must make reasonable efforts to correct it. For a material misdescription of the dataset, micro1 reserves stronger remedies, including immediate termination and refund of payments already made. Accurate descriptions of the data therefore matter before anything is delivered.

Handshake ties payment to due diligence and agreed terms but does not publish a comparable acceptance rule or due date. Request its seller contract and ask when the money becomes unconditional, what permits rejection and whether payment depends on a downstream AI lab accepting the package.

For either company, write down the full sequence: export, preparation, review, approval, acceptance, invoice and cash. The offer amount means much less if those steps have no deadlines.

What happens to your data after licensing?

This is where micro1 provides the most specific public information, and it is worth reading carefully.

Under micro1's standard terms, your company keeps ownership of the original records. But once a dataset is accepted and paid for, micro1 receives a worldwide, non-exclusive, permanent and irrevocable license. That license includes using the data for AI training and testing, creating derivatives and granting rights to downstream customers. It is a broad license, even though ownership stays with you.

The terms restrict certain activities, including attempts to identify people from anonymized records, using the data to build a direct competitor to the seller and resale of the unchanged dataset as a standalone data product. But deleting the supplied files does not require micro1 to delete or retrain AI models created from paid, accepted data.

There is also a subtle seller-side issue. The license is described as non-exclusive, yet the standard contract asks the seller to warrant that it has not previously granted someone else the same or substantially similar licensing rights over the same data. That is particularly important if you have already made a deal with another AI-data buyer. Non-exclusive does not mean every earlier license automatically passes the contract's warranties.

Under Handshake's program, sellers define what is shared, identifying details are removed and the resulting data goes confidentially to AI labs. Its employer announcement describes data used to build realistic AI training environments. Handshake does not publish whether its contract grants exclusive rights, how long use lasts, which downstream parties are allowed or what survives termination.

Ask Handshake for the complete company-data license and compare it with micro1's signed order form and master terms. Focus on permitted uses, exclusivity, sublicensing, derivatives, retention and whether you can continue licensing the same asset elsewhere.

Who handles preparation, privacy and security?

Each micro1 partnership begins with an agreed scope, security requirements, personal-information removal where relevant and internal approval procedures. Its standard agreement makes the seller responsible for delivering the described records, while micro1 bears the export and delivery costs under the baseline terms.

With Handshake, sellers decide what to share, and records are cleaned, de-identified and delivered under confidentiality protections. Handshake's program page has the seller transfer records as they exist, with Handshake doing the processing afterward. Before following that route, clarify what may be transferred in the first place, which staff can see raw records, and exactly when sensitive information is removed.

Neither company's anonymization process creates rights you do not already possess. Employee conversations, client contracts, patient records, financial account details and third-party documents may carry separate restrictions. micro1's standard terms explicitly exclude protected health information, some biometric and financial account details, and children's data unless the order form says otherwise.

Start with a nonconfidential data inventory. Do not connect systems or send raw samples merely to discover whether a company is interested.

So which one should you choose?

Start with Handshake AI if your business has 20–29 full-time employees and at least three years of history. Its published size threshold makes it the more obvious first application, provided the records are genuinely useful.

Start with micro1 if you have 30+ employees, strong English-language operational history and want to evaluate published contract language early. Its transparency makes the rights and payment questions easier to identify before negotiations.

Approach both if you plausibly fit both programs and have not committed the relevant data to an incompatible earlier agreement. Seek written terms for the same asset, then compare money, time to payment, preparation work and licensing rights.

If either company wants broad access before it can describe the scope, or will not explain the rights it needs, do not treat an impressive advertised payout as a reason to proceed.

Five questions to ask before signing

1. Which records, systems, years and future updates are included in the price?
2. What starts the payment clock, what can be rejected and when is cash legally due?
3. Can we license the same records to other buyers, including ones we have already worked with?
4. Which AI labs or other parties may receive the data, and what rights survive termination or deletion?
5. What guarantees must we make about employee, customer and third-party rights, and what happens if those guarantees are challenged?

Already have an offer?

Use the free DataDeals offer-comparison guide and worksheet to put both proposals side by side. It helps separate written payment terms, data scope, licensing rights and the questions a buyer has not answered. If you want a seller-side perspective, request a free offer review. Start with a summary of the proposed deal, not confidential records or raw files.

About DataDeals: DataDeals connects businesses with AI companies interested in licensing their operational data. Our service is free for sellers. We earn referral fees from participating buyers when successful deals are completed. We disclose these arrangements before making introductions. We never charge sellers a commission or deduct a fee from their payments. This comparison relies on public program information, not private completed-deal pricing.