Legacy claim assessment · partial
Issuer indexing supports historical Sesame/Zhima scoring using behavioral and online data, but direct primary retrieval was blocked. Explicit ML basis, current hundreds-of-millions scale and measured inclusion benefit are not established. Retain as assessed lead, not verified deployment.
Assessed Nov 8, 2026. This verdict is separate from deployment evidence and measured outcomes.
Catalog record · Lending & Credit
Ant Group AI Credit Scoring
Legacy record · assessed. The original catalog claim has an editorial assessment. Read its verdict and limitations; an assessment alone does not establish a researched deployment or outcome.
A working link does not confirm the claim. Spot checks found some catalog sources don’t substantiate specific details.
Original catalog claim · unconfirmed
Ant Group's Zhima Credit system uses AI to assess creditworthiness of hundreds of millions of users based on transaction data, social connections, and behavioral patterns on the Alipay platform. The AI scoring system has expanded financial access to underserved populations across China.
- Original maturity (unconfirmed)
- Scaled
- Technology
- Machine Learning
- Business function
- Front Office
- Impact (legacy label)
- High
- Catalog date · unconfirmed
- Jan 1, 2015
- Imported
- Mar 13, 2026
- Tags
- Asia Pacific
- Client-Facing
- Fintech
- Front Office
- Machine Learning
- Scaled
Measures & evidence
No quantified measure recorded. This is a gap in the evidence, not a finding of no value.
Documented vendor relationships
No vendor relationship has been linked to this specific workflow in the curated overlay. This does not mean it was built without vendors.
See the company’s documented relationships