Evidence: Medium50/100

Seamfix Reduces Fraud by 90% Using Amazon Rekognition

Use case typeFraud detectionUpdated Jun 13, 2026

Seamfix, an identity management software company headquartered in Africa with offices in London and Dubai, faced sophisticated identity fraud challenges including SIM swapping and false negatives in identity verification processes. The company sought to improve accuracy and performance of its facial recognition solution to secure client access across industries like banking, government, and telecommunications.

Organization
Seamfix
Industry
Finance
Location
Nigeria
Published
April 2026

Reported outcomes

−90%

timeTime & speed

2 hourstime

Strategic outcomes

Risk & complianceReduced identity fraud and false negativesMarket & geographic expansionExpanded globally with secure identity servicesCustomer experience & trustImproved customer trust in identity verificationNew product / capabilityBuilt AI-based identity verification suite
Why do we believe this?Outcome claims, sources, and evidence checks

Normalized claim

Time: 90% decrease

AWS Customer StoriesApr 29, 2026Customer storyInferred claimMedium evidence strength

Reduced fraud cases by over 90% for Seamfix clients, significantly cut down false negatives, and accelerated processing speeds, exemplified by scanning 3.6 million faces in less than 2 hours instead of years.

Normalized claim

Time: 2 hours decrease

AWS Customer StoriesApr 29, 2026Customer storyInferred claimMedium evidence strength

Reduced fraud cases by over 90% for Seamfix clients, significantly cut down false negatives, and accelerated processing speeds, exemplified by scanning 3.6 million faces in less than 2 hours instead of years.

Why do we believe this deployment?Customer identity, provider attribution, maturity, and source checks
Customer
Seamfix
Provider
AWS
Maturity
Unknown

No explicit deployment-stage evidence found.

Customer identity supportedSource describes one deploymentMaturity evidence evaluated

Primary read

Use case focus

Showing 2 of 2

  • 1Fraud Detection
  • 2Identity Verification
Combat sophisticated identity fraud including SIM swapping to protect client identities and reduce false negatives in identity verification.
  • Implemented Amazon Rekognition for near-real-time facial recognition integrated with scalable AWS infrastructure including Amazon EC2 and Amazon S3 to enhance identity verification accuracy from 80% to 95-99%.
  • Developed an AI-based ID verification suite that cross-checks millions of identity records quickly and efficiently.
  • Reduced fraud cases by over 90% for Seamfix clients, significantly cut down false negatives, and accelerated processing speeds, exemplified by scanning 3.6 million faces in less than 2 hours instead of years.
  • Enabled Seamfix to expand globally, offering secure digital identity services and ensuring compliance with regulations.
  • Improved brand reputation and customer trust by minimizing identity fraud risks.
Sources & evidence1
Evidence: Medium50/100Evidence strength
  • Customer explicitly identified
  • Primary source available
  • Quantified outcome available
  • Technical implementation details available
Type: Customer StoryPublished: Apr 29, 2026Publisher: AWS Customer StoriesEvidence: PrimaryConfidence: High

AI-generated summary. Verify important details with the linked sources before relying on this case.

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