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AI Data Payout

Updated November 2026

Sell your company's CRM data to AI companies, minus the contact list

Independent and sourced. We feature companies that pay us a referral fee. Our scores and reviews don't change for it. How we earn

AI data buyers want what happened to each deal, not who was on it. Polyshares has an outside partner remove names, emails and phone numbers before anyone sees a record while keeping roles, timestamps and the work itself, and Mode, Grepped and Nyne all list Salesforce and HubSpot by name.1,2,3,4

A CRM your team has used for years is a record of decisions with the outcome attached: what was offered, what changed at each stage, what the customer pushed back on, and why the deal was won or lost. In our view that deal history, meaning the call notes, the emails logged to each opportunity, the stage changes and the lost-deal reasons, is what AI companies pay for, because it shows how a sales team reasons its way to a result. Your contact list is the part they strip out.

micro1, which The Next Web reported has committed $1B over 12 months to buying company data, names sales and CRM among the six areas on its data partnerships page. Mode, Grepped and Nyne list Salesforce and HubSpot by name, Polyshares lists CRM among the records it buys, and Pewter says CRM, client and deal files are among the strongest records at the wealth managers, lenders and advisory firms it looks for.

On a call with us in October 2026, Ventra said its team maps which tools hold a company's data in about 1 hour 20 minutes on average, then shops it to over a dozen AI labs and lab partners. If you run Pipedrive, Zoho or another CRM, ask each buyer whether it reads that system, and take the quiz to see which buyers take a company your size.

Buyers

Who buys CRM data

Each reason is the buyer's own published statement naming CRM or the kind of data it holds.

Featured partners

  1. #1 in our ranking

    9.7 out of 10

    micro1

    Has committed $1B to buying company data, names sales and CRM among the six areas it buys, and asks for CRM and workflow metadata from companies with 30+ staff.14,15,16,17

    Typical payout
    $100K to $2M+, micro1 says18

    Watch out for: Says it removes personal details only "when relevant", so ask exactly how.19

  2. #3 in our ranking

    7.9 out of 10

    Polyshares

    Lists CRM among the records it buys, and a specialist outside partner removes names, emails, phone numbers and addresses before Polyshares or any buyer sees a record.20,1

    Typical payout
    $100K to $2M+, Polyshares says21
    Fees
    None, Polyshares says22
    Time to get paid
    An offer in 1 to 2 weeks, then paid in 30 to 60 days23

    Watch out for: Exclusive by default, and every deal it lists is exclusive with no end date.24,25

  3. #9 in our ranking

    7.3 out of 10

    Mode

    Names Salesforce and HubSpot among its CRM and billing sources, agrees systems and date ranges before export, and removes or transforms names and contact details in a secure workspace.2,7

    Typical payout
    $100K to $5M, Mode says30
    Fees
    No broker fee, Mode says12
    Time to get paid
    Paid within about 60 days of accepting31

    Watch out for: The program launched in October 2026 and has no deal record yet.32

  4. #15 in our ranking

    6.8 out of 10

    Grepped

    Reads Salesforce and HubSpot with read-only access to the sources you approve, and lets you leave out any system, folder or record type you choose.3,8

    Watch out for: Its own site code calls its estimator "deliberately optimistic", so treat any estimate as an indication.33,34

  5. #17 in our ranking

    6.4 out of 10

    Pewter

    Says CRM, client and deal files are among the strongest records at US wealth managers, lenders and advisory firms, and removes names, contact details and account numbers as part of the deal.35,36

    Typical payout
    $350,000 to $650,000 in its partner's examples37
    Fees
    None to the owner, Pewter says38

    Watch out for: Its site was registered in October 2026 and it does not name its licensing partner.39,40

Everyone else we reviewed

By score, with full reviews. We have no referral agreement with these companies, so we do not link out to them.

  1. #7 in our ranking

    7.5 out of 10

    Nyne AI

    Lists Salesforce and HubSpot by name, says customer-specific details are removed and whole categories can be left out, and takes US companies with 20+ W-2 staff.4,26,27

    Typical payout
    $100K or more, Nyne says28

    Watch out for: Pays only after the dataset is accepted, and publishes no timeline.29

We feature buyers that pay us a referral fee. Our scores and reviews don't change for it. How we earn. No buyer publishes prices by industry, so within each group the order is the same as in our main ranking.

What buyers value

What in CRM buyers value

The column on the right lists what to talk through with your buyer before anything is exported.

What in CRM buyers value
DataWhy a buyer values itRaise with the buyer
Opportunities with stage historyEvery deal from first meeting to closed, with the date each stage changed, which is the pattern a model learns from.Nothing specific
Call and meeting notes on dealsWhat the rep heard and decided at each step, written in their own words at the time.Customer names, and anything personal a rep wrote down.
Email threads logged to dealsThe back-and-forth that moved a deal forward, tied to the record it moved.Email addresses, signatures and attachments from customers.
Quotes, discounts and approvalsWhat was offered, who signed off on the discount and what it took to close.Pricing agreed with specific customers.
Lost-deal reasonsWhy deals died, recorded when it happened. In our view the reasoning hardest to find anywhere else.Nothing specific
Support cases linked to accountsProblems after the sale and how they were fixed, tied back to the deal that created the customer.Contact details inside case threads.
Contact and company recordsIn our view the least useful part for AI training, and the part buyers strip first.Whether contacts are left out of the export or replaced with placeholders.

Why do AI buyers want deal history, not contacts?

AI buyers want deal history because it holds reasoning tied to a result, and in our view a list of names and phone numbers teaches a model nothing about how to sell. Polyshares says the value is not in volume but in reasoning captured while the work happened, and Centific describes wanting records of how staff decide and handle exceptions, naming sales and deal workflows.5,6

That is also why customers' personal details are the main thing to strip. Polyshares' outside partner removes names, emails, phone numbers, account numbers and addresses before anyone sees a record, Mode removes or transforms names and contact details, and Grepped removes names, emails and phone numbers and deletes the originals after processing.1,7,8

What makes CRM data worth more?

CRM data is worth more, in our view, when the deals are complete: years of opportunities closed both ways, lost reasons filled in, notes written at the time, and email and support cases tied to the same account. A CRM where reps only moved the stage and never wrote a note holds much less.

Variety helps as much as volume. Surge AI's Nick Heiner told MIT Technology Review he looks for archives that cover disagreements and tricky judgment calls, which in a CRM means the deals that stalled, got discounted or came back. Polyshares' broker terms also list CRM among the five core systems it looks for, with email, file storage, internal chat and accounting, so a CRM licensed alongside the inbox around it is the fuller offer.9,10

What does a license for CRM data cover?

A license for CRM data covers what the written agreement says: which objects, which years, and what the buyer may do with the copy. Mode sets the systems and date ranges before export, Grepped lets you leave out any system, folder or record type, and Polyshares describes defined systems for a defined term, exclusive by default.7,8,11

Ask who ends up with a copy. Mode says it resells the filtered copy for AI research and training, and Pewter says data goes to authorized AI developers as your agreement defines them. Questions about your customer agreements and privacy law belong with your lawyer.12,13

Process

How it works with each buyer

In each buyer's own words. Where a buyer publishes nothing, we say so.

micro1

What it buys
Internal docs, SOPs and playbooks, knowledge bases, project management workflows, internal comms, templates, CRM and workflow metadata, task histories16
Who qualifies
30 to 200 employees41
Offer range
$100K-$2M+ per deal; a top tier of $2M+ for highly unique data18
Personal data
PII removed "when relevant"19
Ownership
The company keeps ownership of its data and reviews samples before release42
Time to payment
Not published

Polyshares

What it buys
Slack, email, Drive, CRM, tickets, design files, calls and ERP20
Offer range
$100K-$2M+21
Personal data
A third-party PII partner scrubs data before it is licensed43
Excluded data
Data held on behalf of clients is excluded44
Fees
Charges sellers no fee22
Time to offer and payment
Offer 1-2 weeks after intake; paid Net 30-6023

Nyne AI

What it buys
QuickBooks, Xero, NetSuite, Salesforce, HubSpot, Asana and Jira4
Who qualifies
20+ US W-2 employees and 3+ years in business27
Offer range
$100K or more28
Offer policy
Says it beats written offers from other buyers45

FAQ

CRM data: questions, answered

  • Yes, a company can license a copy of its CRM data to AI companies, and deals are usually a license to a copy, not an outright sale. Mode, Grepped and Nyne list Salesforce and HubSpot by name, and Polyshares and micro1 ask for CRM records whatever system holds them.46,12,2,3,4,20,16

  • No buyer publishes a price for CRM data alone, and Polyshares' broker terms look for CRM alongside email, file storage, internal chat and accounting. micro1, Polyshares and Ventra each put a whole company's data at $100K to $2M or more, and Polyshares lists a $110,000 deal for a global marketing agency, each as that firm's own figure.18,21,47,48,10

  • Not to the AI labs, because buyers strip contact details before a lab sees anything, though they usually pass through the buyer or its scrubbing partner first. Polyshares has an outside partner remove names, emails and phone numbers before Polyshares itself sees a record, and Grepped lets you leave out any record type, so you can ask for contacts to stay out of the export.1,8,7

  • In our view, buyers want the deal history most: opportunities with their stage changes, call notes, emails logged to deals and the reasons deals were lost. micro1 asks for CRM and workflow metadata, and Centific says it wants records of how staff decide and handle exceptions in sales and deal workflows.16,6

  • In our view it matters less than how your team used it. Mode, Grepped and Nyne name Salesforce and HubSpot, while Polyshares and micro1 ask for CRM records by type, so a Pipedrive or Zoho shop should ask each buyer whether it reads that system or takes an export.2,3,4,20,16

  • Usually yes, so ask for it in writing before export. Mode agrees systems and date ranges with you first, Grepped lets you leave out any system, folder or record type, and Nyne says whole categories can be excluded; whether one named account can be pulled is a question for each buyer.7,8,26

  • No, your sales team keeps working in the same CRM, because a license hands over a copy. Mode buys an agreed copy and says the company keeps its originals, and Ventra says a licensing deal lets the company keep ownership.12,49

  • Usually a few hours across a couple of short calls, by the buyers' own accounts. Your team describes the business, approves what's in scope and signs in to the approved systems, and the buyer handles the export and the cleanup.50,51,52

  • A company with about 20 or more staff and three or more years of records fits most buyers, and a few set no size minimum. Nyne asks for 20+ US W-2 employees and 3+ years, micro1 for 30+ staff, and Grepped's site states no headcount minimum.27,17,53,54

  • Every business is different, so this one is best talked through with the buyer you're working with. Their team goes over it with you before anything is signed.

  • Every business is different, so this one is best talked through with the buyer you're working with. Their team goes over it with you before anything is signed.

Before you sign

Every business is different, so these are best talked through with the buyer you're working with. Their team goes over them with you before anything is signed.

Questions for this kind of business

  • Which CRM objects and years will the license cover, and can contact records stay out of the export entirely?
  • Who removes customer names, emails and phone numbers, and will you show us a scrubbed sample of our own deals first?
  • Can specific accounts, such as clients under confidentiality terms, be excluded by name?
  • Is the license exclusive, for how long, and which AI labs will receive the copy?
  • How do CCPA, GDPR, UK GDPR and state privacy laws apply, and is de-identified data still personal information?
  • Do customer, supplier or platform contracts, NDAs or API terms restrict this?

Questions for any buyer

  • Is the license exclusive, and for how long?
  • Can you sublicense the data, and to whom?
  • Which AI labs will receive it, and will you tell us?
  • How long do you keep it, and how is it deleted?
  • What is your liability cap, and who indemnifies whom?
  • Will the contract ban re-identification of people in the data?
  • Who removes personal data, by what method, and do we approve it first?

How this page was made

Figures come from the published sources listed below, and what a buyer says about itself is its own claim. Anything marked as our estimate is ours, not a buyer quote. Drafted with AI help from our research, then checked against each source. Updated November 2026.

We feature companies that pay us a referral fee. Our scores and reviews don't change for it. See how we earn and how we rank. This site does not give legal, tax or financial advice.

Sources (54)

  1. 1.Polyshares data handling page. Accessed 30 Oct 2026. Company's own claim.
  2. 2.Mode company data site. Accessed 14 Oct 2026. Company's own claim.
  3. 3.Grepped website. Accessed 30 Oct 2026. Company's own claim.
  4. 4.Nyne sell-company-data page. Accessed 14 Oct 2026. Company's own claim.
  5. 5.Polyshares data licensing page. Accessed 1 Nov 2026. Company's own claim.
  6. 6.Centific Enterprise Data page. Accessed 30 Oct 2026. Company's own claim.
  7. 7.Mode company data site. Accessed 14 Oct 2026. Company's own claim.
  8. 8.Grepped security page. Accessed 30 Oct 2026. Company's own claim.
  9. 9.MIT Technology Review, published 13 Oct 2026. Accessed 14 Oct 2026.
  10. 10.Polyshares broker account, market criteria update (2026-10-22), published 22 Oct 2026. Accessed 22 Oct 2026. Company's own claim.
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  12. 12.Mode company data site. Accessed 14 Oct 2026. Company's own claim.
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  16. 16.micro1 Enterprise Data Partnership page. Accessed 14 Oct 2026. Company's own claim.
  17. 17.micro1 company referral page. Accessed 14 Oct 2026. Company's own claim.
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