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What is Kriyam.ai?
Kriyam.ai is an advanced, AI-powered platform developed to transform field investigation processes, primarily for the Banking, Financial Services, and Insurance (BFSI) industries. It leverages artificial intelligence to offer robust solutions for fraud detection, compliance management, and business protection, aiming to build trusted vendor networks and enhance customer experiences.
The platform facilitates accurate data collection through physical field verification and provides secure identity confirmation using Video KYC (V-CIP) with real-time video interactions and face recognition technology. It streamlines operations with features designed for comprehensive case management, real-time monitoring of field agents, and AI-driven insights, ultimately enhancing security, efficiency, and decision-making within organizations.
Features
- Field Verification: Ensures data accuracy through physical confirmation at the source.
- Video KYC (V-CIP): Securely confirms identities via real-time video interactions.
- Face Recognition: Uses facial biometrics for identity authentication.
- Paperless Investigations: Enables digital handling of field operations.
- Comprehensive Case Management: Includes evidence-based reporting and geo-tagging.
- Real-time Agent Monitoring: Tracks agent status, attendance, and provides alerts/reminders with offline sync.
- AI-Powered Insights: Offers cross-verifications and case summaries using AI.
- Advanced Automation Tools: Includes AI-based face & ID verification and user access management.
Use Cases
- Managing field investigations for BFSI institutions.
- Detecting and preventing fraud in financial transactions.
- Ensuring regulatory compliance in banking and insurance.
- Verifying customer identities remotely using Video KYC.
- Authenticating identities using facial recognition technology.
- Streamlining field agent operations and monitoring.
- Improving data accuracy through physical field verification.
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Kriyam.ai Uptime Monitor
Average Uptime
100%
Average Response Time
1494.9 ms
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