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What AI companies build with fintech companies data

By SourceX Editorial · Updated

Short answer

AI companies use fintech companies data to build fraud detection, financial assistants and support agents. The most useful records are support and dispute histories, fraud review outcomes, onboarding workflows and transaction categorizations, because they show how real work in the field gets done.

Fraud detection#

Models for fraud detection learn from real examples of the work, such as support and dispute histories and fraud review outcomes, prepared with personal details removed.

Financial assistants#

Models for financial assistants learn from real examples of the work, such as support and dispute histories and fraud review outcomes, prepared with personal details removed.

  1. 01Your work records
  2. 02Personal details removed
  3. 03You approve the release
  4. 04Licensed to AI developers
How it works with SourceX: Your work records → Personal details removed → You approve the release → Licensed to AI developers.Illustrative

Support agents#

Models for support agents learn from real examples of the work, such as support and dispute histories and fraud review outcomes, prepared with personal details removed.

How your records get there#

SourceX starts with a short fit check that shares no data. If it fits, rights are reviewed, a copy is prepared with personal and confidential details removed, and your company approves exactly what leaves before anything is delivered under a signed license.

Frequently asked questions

Will AI built from our data compete with us?

Licenses can limit uses and buyers. Raise it during the rights review.

Related resources

See if your company qualifies

A short company assessment. No data uploads are needed.

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See if your company qualifies