The use case: how Robinhood deploys Sanas
Robinhood used Sanas real-time accent translation and voice clarity on live credit card collections calls handled by its BPO partner in Mexico City, so U.S. customers could understand agents more easily. It ran a pilot with Sanas-enabled and control agent groups to see whether more customers would pass authentication.
More reported results
Figures published in Sanas’s case study. They are not independently measured by usedby.
Authentication climbed from 11% to 26%.
Rates rose from 27% to 34%.
In the customer’s words
When you see right party contact rates more than double and call quality improve noticeably in your own listening sessions, you want the rest of the organization to benefit from it too.Other AI tools used by Robinhood
Other public relationships recorded on usedby.
Explore Robinhood’s AI stack
Sanas users in Fintech & Payments
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Go straight to the source
Based on Sanas’s published case study. We check the public evidence; the results are reported by the vendor.
sanas.ai- Source published
- Aug 25, 2026
- Last checked
- Oct 8, 2026
Open source capture What the story claims, and what we checked
What we compared with the page.
- The figure: 2.4xChecked
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- The passage quoted aboveChecked
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- Robinhood uses SanasChecked
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- The result itselfNot checked
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In a 30-day A/B pilot, outbound authentication more than doubled — turning calls that ended at "who's calling?" into conversations agents could actually move forward.