How insurers and brokers can sell data to AI companies

Insurance files record decisions and the reasons behind them. A claims adjuster's note explains why a claim was paid, reduced or denied, and an underwriter's referral note explains why a risk was accepted at a higher rate. That is the kind of material AI buyers say they want.

micro1, which announced in October 2026 that it would spend $1 billion over 12 months on enterprise operational data, says it is looking for data that shows how work is actually performed within an organization.

What insurance data do AI companies buy?

AI companies buy insurance data that shows decisions being made on real cases. micro1's published brief lists SOPs, process documentation, knowledge bases, workflows, templates, CRM records, support tickets, project histories and internal communications, and names finance, legal and contracts, and customer support among the functions it wants.

Structured policy data on its own is close to a customer list. The value sits in free text: the notes, letters and referral comments where a person explains a judgment.

How much is insurance data worth to AI buyers?

Insurance data has no published price. None of the buyers whose terms are public gives an insurance-specific range, so any figure quoted for an insurance archive is a negotiation, not a market rate.

General ranges give a frame. micro1 publishes tiers of $100,000 to $500,000 for qualified partnerships, $500,000 to $3 million for large-scale or ongoing datasets, and $3 million or more for highly unique operational data. Mercor's published industry ranges run from $20,000 to $1.5 million, according to ddiy.co's review of buyer sites in October 2026.

Volume, years covered and the share of free-text reasoning that survives de-identification decide where an archive lands. Our guide to what your data is worth to AI companies sets out the factors, and a free data valuation applies them to your records.

The main rights issue for insurers and brokers is state insurance privacy law. The Gramm-Leach-Bliley Act's privacy provisions apply to insurers, and the US Government Accountability Office reported in 2002 that the Act requires state insurance authorities to enforce them through their own regulations.

Financial and health information under the NAIC model

Many states based those regulations on the NAIC's Privacy of Consumer Financial and Health Information Regulation, Model 672. Section 12 bars a licensee from disclosing nonpublic personal financial information to a nonaffiliated third party unless notice and opt-out conditions are met, and Section 18 bars disclosing nonpublic personal health information unless an authorization is obtained.

Section 18 lists insurance functions that do not need authorization, such as claims handling, underwriting and fraud detection. Whether licensing data to an AI company fits any listed function is a question for your counsel under your state's version of the rule, and most sellers simply remove health information. States adopt the model with their own changes, so check each state where you write business.

HIPAA, consumer reports and fraud files

Health insurers are covered entities under HIPAA, which HHS lists as including health insurance companies and HMOs. Model 672 says a licensee that complies with the HIPAA Privacy Rule is not subject to its health information article, and HIPAA in turn bars a covered entity from selling protected health information without authorization.

Underwriting files often hold consumer reports, such as credit-based reports and claims history reports. Under 15 U.S.C. section 1681b(f), a person shall not use or obtain a consumer report for any purpose unless it is a purpose the FCRA permits, so leave those reports out.

Daniel Goldberg of Frankfurt Kurnit Klein and Selz advises sellers to exclude high-risk data entirely rather than rely on de-identification, and names health information among the categories to leave out. For most insurance archives, that means removing medical records, special investigations unit files and consumer reports before de-identification of the rest.

Broker and carrier contracts

Brokers and agents hold client files under producer agreements with carriers and engagement terms with clients. Read both before you treat a placement file as yours to license. Our guide on whether you can legally sell company data covers the wider ownership test.

If you hold UK or EU data

UK claims and underwriting files hold health information, which the ICO lists as special category data under UK GDPR Article 9, and fraud files hold criminal offense data with its own rules. Schedule 1, paragraph 20 of the Data Protection Act 2018 allows processing for insurance purposes such as underwriting and claims, and licensing to an AI company is not one of them.

Reuse for a new purpose is also tested under UK GDPR Article 8A, fully in force from February 5, 2026, which weighs the link between the purposes, the context of collection and the possible consequences for policyholders.

How do you sell insurance data through Sell My Data To AI?

You sell insurance data through Sell My Data To AI by starting with a consultation, not a data transfer. We do not take custody of your raw data. Buyers see redacted samples under a mutual NDA, and full data moves only after you sign a license directly with the buyer.

Before any buyer sees a sample, your records pass our eight-point vetting standard, covering authority to sign, ownership, contract restrictions, privacy notices, third-party content, de-identification, sample quality and manifest accuracy. You approve every buyer, every sample and every license term. Book a consultation to find out whether your files are in demand.