Best ways to sell financial services data to AI companies
By Gareth HoyleLast updated How we research
In short
The best ways to sell financial services data to AI companies are a vetted broker such as Sell My Data To AI, or a license with Labelbox Prism, Handshake AI, Mercor or micro1. No buyer publishes a sector-wide price. Research notes, credit memos and compliance reviews clear most easily, while customer and market data carry GLBA, UK MAR and PCI DSS rules.
Key takeaways
- Labelbox Prism is best for firms with financial modeling and reasoning trails.
- Handshake AI is best for firms with financial models and underwriting workflows.
- Mercor is best for firms on mainstream cloud tools that want extraction handled.
- 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.
Financial services firms hold specialist reasoning that is rarely published: investment research notes, credit and underwriting memos, compliance monitoring reports and model validation reports. Finance models need examples of analysts moving from evidence to a decision. See our financial services data page.
We have found no buyer that publishes a price range for the whole sector. Labelbox Prism lists financial reasoning traces and financial modeling with buyer interest, Handshake AI gives financial models and underwriting workflows as examples, and micro1 names finance SOPs.
Customer and market data carry the heaviest rules. The FTC explains that the Gramm-Leach-Bliley Act sets notice and opt-out duties before customer information goes to non-affiliates. In the UK, the FCA's market abuse rules bar unlawful disclosure of inside information. Our licensing agreement checklist covers the warranties buyers ask for.
- 1
Sell My Data To AI
Best for regulated firms that want each sample approved before release
Sell My Data To AI values financial services records and brokers licenses with vetted AI buyers. Every buyer is verified on intended use, security and retention and onward transfer limits, and every seller passes eight checks covering contracts and privacy notices. 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
Labelbox Prism
Best for firms with financial modeling and reasoning trails
Labelbox Prism acquires work documents including financial modeling, and lists financial reasoning traces among the categories with buyer interest. It publishes deals from around $50,000 to more than $1 million, pays an upfront fee at signing plus a revenue share on downstream use, makes licenses exclusive by default and lists encryption with 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
- 3
Handshake AI
Best for firms with financial models and underwriting workflows
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
- 4
Mercor
Best for firms on mainstream cloud tools that want extraction handled
Mercor pays businesses to license workflow data from more than 100 supported tools and names finance and insurance among its target industries. Mercor says an automated process masks more than 60 categories of sensitive identifiers and lists SOC 2 Type II and AWS KMS key management. It covers extraction, anonymization and transfer costs and 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
- 5
micro1
Best for established firms with 30 or more staff and finance SOPs
micro1 licenses operational records such as engineering documentation, finance SOPs, support tickets, CRM records and logistics workflows, and supplies them to AI labs and enterprises in the US and allied countries. Its data partnerships page publishes tiers from $100,000 to more than $3 million, asks for 30 or more full-time staff and mainly English records, and says micro1 removes or transforms personal information before sharing data.
- Published payout
- $100,000 to $500,000 (qualified partnerships), $500,000 to $3 million (large-scale or ongoing), more than $3 million (highly unique data). Agent trajectories listed at $1 million to $2 million a year
- Size requirement
- 30 or more full-time staff, mainly English records, US first, then the UK and Canada
- Exclusivity
- Not published
- Fee to seller
- None stated
- Payment timing
- Homepage says within 30 days of acceptance. FAQ says up to 30 days to review, then payment within 30 days of invoice
- 6
Scale AI
Best for firms that want anonymization inside their own environment
Scale AI's data partnership program pays companies for structured, de-identified records from their operational systems and never takes the raw systems themselves. Its page gives an illustrative value of $10,000 to more than $1 million per partnership, prefers 40 or more employees and says Scale anonymizes data inside your environment, with per-package approval gates and partnerships designed for recurring revenue.
- Published payout
- $10,000 to more than $1 million per partnership (illustrative, scaling with cadence)
- Size requirement
- 40 or more employees preferred, assessed case by case
- Exclusivity
- Not published
- Fee to seller
- Not published
- Payment timing
- Not published. Scale says partnerships are designed for recurring revenue
- 7
Troveo
Best for firms that want income from repeated sales
Troveo is a licensing agent that licenses company data from chat, email, documents, CRM, finance and code platforms to AI buyers on your behalf, sharing revenue on every sale. Its business data page reports more than $20 million paid to licensors and more than 40 active buyers, says full-company deals start at six figures, charges no fees and asks for time-limited exclusivity.
- Published payout
- Typical full-company deals start at six figures. More than $20 million paid to licensors to date (Troveo figure)
- Size requirement
- Not published. Its estimator uses headcount (20 to 1,000 or more) and years trading (under 3 to 15 or more)
- Exclusivity
- Time-limited and has to be earned, with exit terms in the agreement
- Fee to seller
- None. No fees, setup costs or deductions from payouts
- Payment timing
- Revenue share on every sale. Timing set in the agreement, not published
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 financial services firms we gave extra weight to buyers that name finance or underwriting records in their published brief, and to those that offer staged or per-package approval.
| 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
Is there a published price for financial services data?
Can a bank or lender license customer data for AI training?
Do compliance teams need to approve a financial data sale?
Sources
- How to sell your company's data to AI companies, ddiy.co (figures taken from each buyer's own site), accessed November 2026
- Gramm-Leach-Bliley Act, Federal Trade Commission, accessed November 2026
- Market abuse, Financial Conduct Authority, accessed November 2026
- Proceeds of Crime Act 2002, section 333A: tipping off in the regulated sector, legislation.gov.uk, accessed November 2026
- Are audio/voice recordings permitted to contain sensitive authentication data? (FAQ 1210), PCI Security Standards Council, accessed November 2026
- Prism, Labelbox, accessed November 2026
- Data partnerships, Handshake, accessed November 2026
- Data monetization, Mercor, accessed November 2026
- Data partnerships, micro1, accessed November 2026
- Data partnership, Scale AI, accessed November 2026
- Business data, Troveo, accessed November 2026