Industry · Finance
Finance data licensing for AI.
Banks, lenders and financial advisors hold underwriting rationales, fraud investigation narratives, policy manuals and service transcripts. These help AI developers build underwriting, compliance and customer-service tools. Financial privacy laws, regulator expectations and confidentiality obligations shape what can be licensed.
Business context
Financial reasoning — why a loan was approved or a transaction flagged — is rarely documented publicly, making it valuable when properly de-identified.
Valuable finance datasets
| Dataset | What it contains |
|---|---|
| Underwriting notes | Credit decisions and rationales |
| Fraud case narratives | Investigation steps and outcomes |
| Policy and procedure manuals | Internal compliance documentation |
| Service transcripts | Customer interactions, de-identified |
| Planning workflows | Advisor processes and checklists |
How AI developers use it
- Underwriting assistants
- Fraud-detection models
- Compliance review
- Customer-service agents
Privacy, legal and security considerations
- Financial privacy and banking secrecy laws
- Model-risk and regulator expectations
- Recordkeeping obligations
- Customer account identifiers
How SourceX approaches it
We start with a description of your systems — no data leaves your company during assessment. If there's relevant demand, we propose scope, permitted use and preparation requirements for your approval, and nothing is delivered without an executed agreement and your explicit authorization.
Related data categories
Frequently asked questions
- Can transaction data be licensed?
- Usually only in aggregated or anonymized form, subject to legal review.
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Explore a data partnership
Tell us what data your company holds. No data is shared during the initial assessment.