Best ways to sell medical practice and clinic data to AI companies
By Gareth HoyleLast updated How we research
In short
The best ways to sell medical practice and clinic data to AI companies are a vetted broker such as Sell My Data To AI, or a license with Protege, Mercor or Labelbox Prism. ddiy.co reported Mercor's listing at $80,000 to $820,000 for medical practices. Every route depends on de-identification that meets GMC confidentiality guidance in the UK or the HIPAA standard in the US.
Key takeaways
- Protege is best for practices with clinical documentation for benchmarks.
- Mercor is best for practices of 10 or more clinicians on cloud tools.
- Labelbox Prism is best for clinics that can meet IRB or de-identification conditions.
- Sell My Data To AI wrote this list and ranks itself first. The method section explains the criteria.
- Every entry's facts come from the company's own published terms, checked November 2026.
Medical practices and clinics hold scarce records of how clinicians record, reason and refer: clinical notes, referral letters, triage records with outcomes and dictation audio. Clinical AI developers want de-identified versions of them. Our medical practice data page lists the record types buyers ask for.
ddiy.co reported Mercor's referral listing at $80,000 to $820,000 for practices with 10 or more clinicians or 2,500 or more patients. Protege licenses healthcare data, including evaluation datasets, and Labelbox Prism lists multimodal medical records, which it says need IRB approval or qualified de-identification.
Patient confidentiality governs every route. GMC guidance says anonymized information must be used in preference to identifiable information wherever possible, NHS England's national data opt-out covers publicly funded care, and US providers follow the HIPAA de-identification standard. Read our de-identification guide before you draw a sample.
- 1
Sell My Data To AI
Best for practices that need de-identification tested before any buyer sees records
Sell My Data To AI values de-identified clinical records and brokers licenses with vetted AI buyers. Our eight-point seller vetting requires a documented de-identification method and a re-identification test on a sample, and checks the privacy notice and lawful basis. You pay nothing to be assessed, approve every buyer, sample and license term, and agree the success fee in writing before any introduction. We do not take custody of your raw data.
- Fee to seller
- Nothing to be assessed. A success fee only when a deal completes, agreed in writing before any buyer introduction
- Seller vetting
- Eight-point standard, from authority to sign to manifest accuracy, before any buyer sees your data
- Buyer vetting
- Company identity, intended use, security and retention, onward transfer limits and, for larger deals, ability to pay
- Data custody
- No custody of raw data. Buyers see redacted samples under a mutual NDA
- Your control
- You approve every buyer, sample and license term, and can withdraw at any point before signing
- 2
Protege
Best for practices with clinical documentation for benchmarks
Protege licenses healthcare data to AI model builders, including evaluation datasets, and a news item on its site describes healthcare benchmarks built on real-world clinical documentation and medical billing data. It highlights a Siemens Healthineers medical imaging team among its users. Protege does not publish payouts, exclusivity, fees or payment timing, and data partners start through a contact form.
- Published payout
- Not published
- Size requirement
- Not published
- Exclusivity
- Not published
- Fee to seller
- Not published
- Payment timing
- Not published
- 3
Mercor
Best for practices of 10 or more clinicians on cloud tools
Mercor pays businesses to license workflow data from more than 100 supported tools and names healthcare among its target industries. It says an automated process masks more than 60 categories of sensitive identifiers and that no AI lab buyer sees raw data. ddiy.co reported Mercor's referral page listing $20,000 to $1.5 million by industry, and Mercor typically pays within 2 to 4 weeks of signing.
- Published payout
- Not published on mercor.com/data. ddiy.co reported Mercor's referral page listing $20,000 to $1.5 million by industry (October 2026)
- Size requirement
- Not published on mercor.com/data. Target industries include legal, healthcare, finance and insurance, professional services, manufacturing, retail, real estate and logistics
- Exclusivity
- Not published
- Fee to seller
- None. Mercor covers extraction, anonymization and transfer costs
- Payment timing
- Wire transfer after delivery, typically within 2 to 4 weeks of the signed agreement
- 4
Labelbox Prism
Best for clinics that can meet IRB or de-identification conditions
Labelbox Prism lists multimodal medical records among the categories with buyer interest and says they need IRB approval or qualified de-identification. It publishes deals from around $50,000 to more than $1 million, pays an upfront licensing fee at signing plus a revenue share on downstream use, makes licenses exclusive by default and lists customer-managed keys and regional residency guarantees.
- Published payout
- From around $50,000 (smaller targeted datasets) to more than $1 million (large enterprise partnerships)
- Size requirement
- Not published. Prefers high-volume B2C companies for support logs
- Exclusivity
- Exclusive by default, tailored to scope, sensitivity and strategic value
- Fee to seller
- Not published. Scoping is free and non-binding
- Payment timing
- Upfront fee at signing plus revenue share. Prism says first call to first wire takes under 21 days
- 5
Handshake AI
Best for healthcare businesses with documented processes
Handshake AI, the AI arm of the Handshake careers network, buys operational data such as financial models, process documentation, underwriting workflows, design documentation and test reports. Its data partnerships page headlines $100,000 to more than $4 million and sets out a five-step process ending in delivery and payment. Its page text does not state size thresholds, exclusivity, fees or payment timing.
- Published payout
- $100,000 to more than $4 million (headline). Its calculator shows estimates up to $100,000 and $400,000 to $800,000 or more
- Size requirement
- Not published. The calculator asks for employees, tools used and years in business
- Exclusivity
- Not published
- Fee to seller
- Not published
- Payment timing
- Not published. Payment follows delivery as the final process step
- 6
Defined.ai
Best for speech and dictation datasets with HIPAA compliance stated
Defined.ai runs an AI data marketplace where enterprises buy ready-made or commissioned speech, text, image, video and multimodal training data. It cites more than 1.6 million contributors across more than 150 countries and more than 500 languages and locales, lists ISO 27001, 27701 and 42001 accreditation, and says only 30% of partners pass its ethical vetting. Seller revenue share and payment timing are not published.
- What it buys
- Lists speech, text, image, video, music and sound effects, and multimodal datasets from partners
- Size requirement
- Not published. Partners pass an ethical vetting process, and Defined.ai says 30% are approved
- Fee to seller
- Not published
- Payment timing
- Not published
- 7
Opendatabay
Best for packaged, de-identified healthcare datasets
Opendatabay is a marketplace for licensed AI training and fine-tuning datasets, showing 111 licensed data providers and 655 data products on its homepage across text, image, audio, video, code, agentic trajectories and synthetic data. Listing is free, sellers set the price and keep 70% to 95% depending on the sale price, and self-serve payouts arrive within 30 days of the end of the month.
- What it buys
- Lists text, image, audio, video, code, agentic trajectories, 3D, tabular, time-series, human feedback and synthetic data
- Size requirement
- Not published
- Fee to seller
- Free to list. Commission from 30% (sales up to $100) to 5% (sales above $250,000), set per transaction
- Payment timing
- Within 30 days of the end of the month for self-serve sales. Balances under $50 carry forward
How we ranked this list
Sell My Data To AI wrote this list and ranks itself first. We are a broker with a commercial interest in the result, and some companies below offer a service similar to ours. Read the order with that in mind.
For medical practices we gave extra weight to buyers that name healthcare or clinical records in their published brief and state conditions for de-identification. Buyers that exclude health records were left off.
| Criterion | What we checked |
|---|---|
| Fit for the data type | Whether the company names this kind of record in its own published brief |
| Published terms | Whether payouts, size requirements and license terms appear on the company's own pages |
| Vetting | What checks the company says it runs on sellers, buyers or datasets before a sample changes hands |
| Exclusivity | Whether licenses are exclusive, non-exclusive or perpetual, and whether that is published |
| Fees | Whether the seller pays a fee or commission, and whether the rate is published |
| Payment timing | When sellers are paid, as stated by the company |
| Transparency | How much of the above you can confirm before a first call |
Every fact about another company comes from our profile of it in the data buyers directory, checked on that company's own pages in November 2026. Where a term is missing we write "Not published" rather than guess. After first place, the order reflects fit for a company selling or licensing its data, not a quality score, and we do not rate any company negatively.
We rank Sell My Data To AI first because this is our list and our service is built for this reader, not because we scored ourselves against the others. We are independent of the buyers we work with, and our terms are on our fees and how we vet pages so you can compare them line by line.
Frequently asked questions
Can a GP practice sell patient data to AI companies?
Is removing names enough to anonymize clinical notes?
What size of practice do AI buyers look for?
Sources
- How to sell your company's data to AI companies, ddiy.co (figures taken from each buyer's own site), accessed November 2026
- Confidentiality: using and disclosing patient information for secondary purposes, General Medical Council, accessed November 2026
- Understanding the national data opt-out, NHS England, accessed November 2026
- Guidance regarding methods for de-identification of protected health information, US Department of Health and Human Services, accessed November 2026
- UK GDPR, Article 9: processing of special categories of personal data, legislation.gov.uk, accessed November 2026
- Protege homepage, Protege, accessed November 2026
- Data providers, Protege, accessed November 2026
- Data monetization, Mercor, accessed November 2026
- Prism, Labelbox, accessed November 2026
- Data partnerships, Handshake, accessed November 2026
- Defined.ai homepage, Defined.ai, accessed November 2026
- AI marketplace partnerships, Defined.ai, accessed November 2026
- Opendatabay homepage, Opendatabay, accessed November 2026
- Fees and pricing, Opendatabay, accessed November 2026