Case study · Veritas AI
Veritas AI — Real-Time Fraud Detection SaaS
An AI-powered fraud detection system delivered as a multi-tenant SaaS: a real-time detection API with machine-learning behavior and anomaly models, an enterprise analytics dashboard, and Stripe/PayPal subscription billing.
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Real-time
Fraud & scam detection
Multi
Tenant SaaS platform
Live
Alerts & analytics
Team — 5 specialistsDuration — 8 monthsIndustry — Fintech & Financial Services
Early client-reported figures — final confirmed numbers pending review.
The problem
Detect fraud and scams the moment they happen — then package that capability as a production SaaS: multi-tenant, subscription-billed, with an enterprise dashboard for real-time alerts and analytics, deployed for high availability.
What we built
The solution.
- 01Real-time fraud detection API analyzing data and flagging fraudulent activity as it occurs.
- 02Machine-learning models for behavior, scam, and anomaly detection.
- 03Secure multi-tenant SaaS platform with real-time data processing at scale.
- 04Enterprise dashboard for monitoring incidents, receiving alerts, and analyzing fraud patterns and risks.
- 05Stripe and PayPal billing with RBAC permissions tiered by subscription level.
- 06Cloud deployment on AWS/GCP with health, accuracy, and performance monitoring.
Next.jsNode.jsPython (ML)PostgreSQLStripe / PayPalAWS / GCP
Product
Inside the build.
Talk it through
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