Data category
Banking, Lending & Fintech Data
Loan decisions with repayment outcomes, fraud investigations and compliance reviews, de-identified and aggregated.
Why it matters for AI
Measured, judged, resolved.
Lending data is valuable because the outcome is known: a decision was made and, months later, the loan was repaid or not. Only de-identified or aggregated extracts are considered, with the institution's written authorization and its own privacy and confidentiality review — never raw customer files.
Typical data
- Loan applications & decisions
- Repayment outcomes
- Credit-scoring inputs (aggregated)
- Fraud alerts & investigations
- KYC / AML reviews
- Collections & restructuring
- Service requests & resolutions
- Anonymized transaction data
Representative workflow
Illustrative
- 01Application
- 02Risk inputs
- 03Credit decision
- 04Disbursement
- 05Repayment behavior
- 06Collections or restructuring
- 07Final outcome
Who typically holds it
- Banks and credit unions
- Consumer and small-business lenders
- Payment and fintech companies
- Microfinance institutions
Potential AI applications
- Credit-risk and underwriting models
- Fraud detection
- Compliance-review assistants
- Financial-services evaluation sets
Trust & compliance
Data licensing without losing control.
Your data stays yours until you decide otherwise. We assess before anything is shared, and we treat rights and privacy as conditions of a transaction — not afterthoughts.
No raw data for an initial evaluation
Nothing moves without authorization
Ownership is not the same as licensing rights
Specialist review where it is needed
Own valuable data?
Check your data's licensing potential.
A confidential, no-raw-data assessment of your company's records — from lab results and production logs to cases, claims and transactions.
Or take the partner questionnaireBuilding AI?
You specify it. We source it.
Tell us the proprietary data your model needs — domain, structure, modalities and rights. We approach the organizations that produce it.