Detect Fraud Before It Costs You.

Our deepfake detection uses advanced computer vision and machine learning models trained on millions of real and synthetic faces. The system analyzes micro-expressions, temporal inconsistencies, and biometric markers that are impossible to replicate in deepfakes. During Video KYC, we perform real-time analysis of facial movements, lip-sync patterns, and presentation attack detection. The technology achieves 99.8% accuracy and is continuously updated to detect new deepfake generation methods.

We analyze a comprehensive range of alternative data including GST filings (both consented and non-consented), telecom usage patterns, location data from delivery apps, IP addresses, device fingerprints, and digital payment behaviors. For example, we can verify if a claimed address matches delivery patterns—if someone orders food to the same location 22 out of 30 days, it's likely their actual residence. This multi-dimensional analysis provides risk signals that traditional credit data misses.

Our AI models analyze patterns across 6-8 months of historical data, identifying subtle behavioral changes that precede defaults. The system monitors hundreds of indicators including transaction velocity changes, communication patterns, payment timing shifts, and cross-product behaviors. Machine learning algorithms identify complex patterns invisible to rule-based systems, achieving 85% accuracy in predicting defaults 3-6 months before first delinquency.

Yes, our no-code policy builder allows business users to create and modify complex fraud rules using a visual interface. You can configure multi-level rules with AND/OR logic, set dynamic thresholds, create exception workflows, and deploy changes instantly. The system also supports A/B testing of policies and provides impact analysis before deployment. Most clients reduce policy change time from weeks to hours.

Our platform is built on a cloud-native, microservices architecture that scales horizontally to handle millions of verifications daily. We use intelligent caching for frequently accessed data, parallel processing for multiple verification requests, and smart routing to optimize API calls. The system maintains sub-second response times even during peak loads, with 99.9% uptime guaranteed through our SLA.

Our voice biometric system creates unique voiceprints using over 100 acoustic characteristics that are impossible to replicate or spoof. The technology works across different devices, network conditions, and languages. It can detect replay attacks, synthetic voice, and voice conversion attempts. The system enables continuous authentication during calls and can be used for both verification and fraud detection, adding an additional security layer to your operations.

Most clients achieve full integration within 4-6 weeks. We provide comprehensive REST APIs with detailed documentation, SDKs in multiple programming languages, pre-built connectors for popular platforms, and a dedicated integration team. Our modular approach allows you to start with critical APIs and expand gradually. We also offer sandbox environments for testing and parallel run capabilities to ensure smooth transition.