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Index/case studies/hyperverge flip indonesia

Proof grade B

Flip Indonesia

Deepfake and onboarding fraud controls for a high-volume Indonesian payments platform.

HyperVerge dossier →
BProof grade
6Metrics retained
1Evidence records
HyperVergeVendor

Reported outcomes

0 %, described as essentially zeroFalse acceptance rateAfter deployment; exact period undisclosed · Armanjit Datt, Lead Product Manager, Flip, quoted by HyperVergeBaseline: 40–45% · Formula: false acceptances / fraudulent attempts; denominator inferred from metric name
0.5 %, approximateFalse rejection rateAt case publication · Flip via HyperVergeBaseline: Prior false-rejection rate is not disclosed. · Formula: false rejections / legitimate attempts; denominator inferred from metric name
100000 to 150,000 users/monthMonthly onboarding volumeAt case publication · Flip via HyperVergeBaseline: Operating-volume context, not an outcome. · Formula: Range, unique-user and retry rules are undisclosed.
98 % completed within 30 minutesSLA attainmentAt case publication · Flip via HyperVergeBaseline: No prior SLA attainment is disclosed. · Formula: eligible verifications completed within 30 minutes / eligible verifications; eligibility inferred
5 seconds, upper boundLiveness-check latencyAt case publication · Flip via HyperVergeBaseline: No previous liveness latency is disclosed. · Formula: Timer scope and percentile are undisclosed.
3 % to 4%Successful-verification or conversion increaseAt case publication · HyperVerge page and Flip executive quoteBaseline: Prior verification/conversion rate, numeric value undisclosed · Formula: Copy conflicts between potential verification lift and realized conversion lift; denominator and relative-versus-point change are undisclosed.

Context and boundaries

Workflowcheckout_payments_and_fraudDeepfake and onboarding fraud controls for a high-volume Indonesian payments platform.
Implementation??
CaveatsVendor-hosted.–The 3–4% figure is contradictory between potential and realized wording.vendor_owned

Source trail

  1. Flip Indonesia case study

    Flip reports reducing false acceptance from 40–45% to essentially zero, about 0.5% false rejection, onboarding 100,000–150,000 users per month, 98% SLA attainment within 30 minutes and liveness under five seconds. Copy alternates between a potential and realized 3–4% verification/conversion increase.

    company · accessed 2026-07-13
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