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Industries and Use Cases
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AI-Powered Fraud Detection & Risk Scoring for Mobile Transactions

1. Financial Services & FinTech

AI-Powered Fraud Detection & Risk Scoring for Mobile Transactions

Real-time risk scoring across banks and fintechs

Privacy-preserving credit scoring

Customer analytics for personalized product recommendations, cross-sell, and upsell

Business Outcomes

Reduced fraud losses and payment scams

Secure collaboration without sharing of customer data

Faster, more accurate risk assessments

Increased customer lifetime value through targeted recommendations

How It Works

Banks & fintechs collaborate on fraud detection across payment apps

Mobile transactions are analyzed without sharing of customer data

ACL ensuring seamless regulatory compliance

Cross-agency data collaboration for public safety and compliance

2. Government & Public Sector

Secure Digital Identity Verification & Fraud Prevention
Privacy-first analytics for smart city initiatives
Secure citizen data modeling without data centralization

Business Outcomes

Improving inter-agency decision-making

Enhancing trust through responsible data use

Accelerating digital transformation with regulatory compliance

How It Works

Enabling decentralized model training across agencies, ensuring no raw citizen data leaves each department

Applying Secure Multi-Party Computation (SMPC) to generate shared intelligence while maintaining strict data boundaries

Facilitating real-time collaboration through federated analytics pipelines, aligning with data sovereignty and compliance mandates

Customer behavior insights from mobile apps

3. Retail & eCommerce

AI-Driven Personalization & Fraud Prevention for Mobile Commerce
AI-driven personalization and recommendation engines
Fraud detection in loyalty and rewards programs

Business Outcomes

Boosting customer engagement and retention

Increasing conversion through real-time personalization

Reducing risk of promo abuse and fraudulent activities

How It Works

AI models analyzing mobile browsing & app usage—without tracking personal data

Retailers training AI together to detect fraud & optimizing customer experience

ACL enabling privacy-first marketing & fraud prevention

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