The use case: how Chipper Cash deploys Pinecone
Chipper Cash uses Pinecone as the vector database in a facial verification system that compares each new user's selfie embedding against existing users' selfies to detect duplicate sign-ups in real time. This helps block fraudulent accounts that abuse new-user promotions.
More reported results
Figures published in Pinecone’s case study. They are not independently measured by usedby.
New users’ selfies are verified with over 95% accuracy in less than 2 seconds.
This allows them to retrieve similar selfies of a user in under 200 milliseconds so they can catch and prevent fraudsters without slowing down legitimate new users.
During a six month period, Chipper Cash lost 16% of their promo budget to fraudulent sign-ups — whether duplicates or users with fake or stolen government IDs.
In the customer’s words
It took us less than a month to build our new in-house facial verification system. We have a real-time, scalable, and secure system thanks to Pinecone. End-to-end latencies for the entire system dropped from up to 20 minutes previously to less than 2 seconds now, with Pinecone doing the search in under 200ms.Other AI tools used by Chipper Cash
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Explore Chipper Cash’s AI stack
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Based on Pinecone’s published case study. We check the public evidence; the results are reported by the vendor.
pinecone.io- Last checked
- Oct 8, 2026
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- The figure: 10xChecked
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- Chipper Cash uses PineconeChecked
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Since launching the facial verification system with Pinecone, Chipper Cash has seen the number of fraudulent sign-ups decrease by 10x.