Sell financial services data to AI companies

What financial services data do AI companies buy?

AI companies buy financial services data that shows specialist reasoning from evidence to a decision. A credit memo that sets out the case, the credit committee's challenge and the final terms is the kind of document no public source contains.

• Investment research notes and investment committee memos
• Credit and underwriting memos, with customer details removed
• Compliance testing reports and file review findings
• Policy and procedure manuals
• Complaint case files, de-identified, with the final decision
• Model documentation and validation reports

Firm-written manuals, procedures and model documentation are the simplest to clear. Anything built around a named customer or a live market position needs much more work. See document and form data for how buyers use structured financial documents.

Model documentation and validation reports are often overlooked. They explain how a model was built, tested and challenged, and they rarely contain customer data, though they may describe proprietary methods you want to keep out. Complaint files are another strong example once de-identified, because they record the issue, the investigation and the final response in order.

How much do AI companies pay for financial services data?

We have found no AI buyer that publishes a price range for financial services data. The buyers compared by ddiy.co in October 2026 give company-wide figures, and its report of Mercor's listings mentions investment firms with a minimum of 5 staff but no payout range.

Company-wide figures give some context. micro1 publishes $100,000 to $2 million or more, Handshake AI reports $100,000 to $4 million paid to date and Scale AI gives an illustrative $10,000 to $1 million or more, all as reported by ddiy.co. None of these is a quote for a financial firm, and a free data valuation is the way to get a realistic range.

Can a financial institution share customer data under GLBA?

A financial institution can share customer information with nonaffiliated third parties only within the Gramm-Leach-Bliley Act's Privacy Rule. The FTC says financial institutions must tell customers about their information-sharing practices and explain their right to opt out if they do not want their information shared with certain third parties.

Securities firms have a parallel rule. SEC Regulation S-P applies to brokers, dealers, investment companies and SEC-registered investment advisers, and 17 CFR 248.10(a)(1) bars them from disclosing nonpublic personal information about a consumer to a nonaffiliated third party unless the notice and opt-out conditions are met.

The GLBA Safeguards Rule also requires an information security program with administrative, technical and physical safeguards for customer information. Combined with the privacy notices in force when the data was collected, which Frankfurt Kurnit Klein and Selz says companies must comply with, these rules make customer-level data a poor candidate for licensing. Exclude it or take specialist advice.

Material nonpublic information in your files does not stop a sale, but every document containing it must come out. Section 204A of the Investment Advisers Act requires advisers to establish, maintain and enforce written policies reasonably designed to prevent the misuse of material nonpublic information in violation of the securities laws.

Deal files, research on listed issuers before publication and investment committee papers can all contain material nonpublic information at the time they were written. The safe approach is to exclude recent material entirely and include older research only after compliance has reviewed it. Record the review date and reviewer for each batch, so you can show the buyer and your regulator how each decision was made.

Recordkeeping rules still apply to the originals. SEC Rule 17a-4(b) requires broker-dealers to preserve records such as originals of communications received and copies of communications sent for at least three years, the first two in an easily accessible place, so a license should only ever involve copies.

What other financial services rules affect a data sale?

Suspicious activity report confidentiality and card data rules also affect a financial services data sale. Under 31 CFR 1020.320(e)(1)(i), no bank, and no director, officer, employee or agent of a bank, may disclose a SAR or any information that would reveal the existence of a SAR, so all reporting records must be excluded.

Firms that record calls should check card data. The PCI Security Standards Council says storing card validation codes in any digital audio recording after authorization breaches PCI DSS Requirement 3.3.1. Market data vendor licenses commonly restrict redistribution, so pasted prices and terminal screenshots should come out of research notes. Nixon Peabody's October 2026 alert also advises buyers to start with a limited sample in a controlled environment, which suits regulated sellers too.

If you hold UK or EU data

UK firms face market abuse and tipping off rules as well. The FCA lists unlawful disclosure of inside information as one of the civil offenses under UK MAR, and section 333A of the Proceeds of Crime Act 2002 makes it an offense in the regulated sector to disclose a suspicious activity report in a way likely to prejudice an investigation. Customer data falls under UK GDPR and customer confidentiality duties.

How does selling financial services data work with Sell My Data To AI?

Selling financial services data with Sell My Data To AI starts with a consultation about your document stores, the years covered and your compliance team's view. We help you build an exclusion list and data manifest your chief compliance officer can sign off before any buyer is involved.

We verify every buyer's identity, intended use, security and retention commitments before they see a sample, see how we vet. You sign the license directly with your chosen buyer. Book a free consultation to start.