Company data licensing
McCarthy’s AI
McCarthy’s AI helps established businesses prepare for company-data licensing through its partners. Owners should compare the proposed scope and payment milestones. A separate introduction program rewards eligible referrers after a completed, paid deal; that reward is not the owner’s licensing income.
- Best suited to
- Established companies with several years of digital operations
- Published starting point
- Sector-specific headcount; 3+ years of records
- Revenue model
- Partner license; acceptance-based payment
- Main decision
- Confirm eligible records, scope and written payment terms
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Who it’s for
Who is McCarthy’s AI’s data program for?
The owner page lists three years of mostly English records: generally 20 desk workers, 10 in accounting/finance or six in legal. Email, tickets, documents and code can qualify. Buyer review still determines fit.
Illustrative preparation example: an engineering consultancy could map a change request to its design review, revision and approval. Start with a diagram of that sequence and record counts. Keep client drawings out of the first inquiry until ownership and permitted disclosure are resolved.
Get prepared
What should you prepare?
Prepare a short inventory before sharing records. Start with descriptions and counts, then agree on any sample.
- Systems: List email, shared drives and operating tools with the dates each covers.
- Authority: Identify who can approve a license and which records belong to customers or other parties.
- Exclusions: Mark sensitive categories and archives that cannot be included.
- Decision team: Choose an owner, IT contact and agreement reviewer.
Use our data preparation guide to turn that inventory into a first conversation.
Revenue & payments
How does payment work?
Owner process and licensing income
McCarthy’s describes scoping, a partner offer, signing, export and de-identification before buyer acceptance. It states no owner broker fee and payment 30 days after acceptance; its two-to-three-month overall timeline is an estimate. Partners run the license. Confirm those milestones in your agreement. Its anonymous offer examples are not verified paid transactions. Official process.
Separate referral compensation
The public referral page advertises $20,000 within 30 days after the introduced business closes its license and receives payment. No closed, paid deal means no reward. Owners and staff cannot refer their own business. Request the referral agreement before introducing a company, and obtain its permission first. This is an email-introduction process, not a personal tracking-link offer.
The referral page targets the US, Canada and UK; the owner page discusses additional countries. Confirm eligibility for your route. Data Mining Masters uses direct official links and has no owner-supplied McCarthy’s referral URL.
Rights & control
Which licensing terms deserve attention?
Ask for the proposed license before treating an estimate as an offer. Our licensing-model guide explains the decisions to compare.
- Which systems, date ranges and permitted uses are included?
- What may be excluded, and who approves the final sample?
- What exclusivity or resale rights survive the agreement?
- Which acceptance milestones trigger payment, and what deductions apply?
Explore your options
When should you compare another platform?
Compare Pewter Data and BizBuyData by Mode. Ask each provider to quote the same systems, dates and permitted uses so you can compare net proceeds and obligations.
Good questions, clear answers
Questions before you apply
Is the advertised referral reward the owner’s payment?
No. The owner’s license price and the introducer’s reward are separate. Confirm both contracts and the order in which payment conditions must be met.
What belongs in a first inquiry?
As editorial guidance, prepare headcount, operating history, systems and a short description of the work recorded. Avoid attaching raw confidential records.
Sources and editorial approach
Provider information checked on 9 November 2026. Practical checklists are Data Mining Masters’ editorial guidance. This profile is based on public information, not a firsthand transaction or a guarantee of acceptance or income. How we compare platforms.
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