Empowering governance with AI-based welfare fraud detection, real-time anomaly identification, and the proactive protection of taxpayer money. Building a transparent, accountable digital public infrastructure.
The integrity of welfare schemes is paramount to the nation's development. NYAY.AI was conceptualized to address the critical challenges of fund leakage, beneficiary duplication, and opaque allocation processes.
By integrating state-of-the-art machine learning models with existing government databases, we provide a layer of intelligence that flags discrepancies in real-time, ensuring that every rupee spent reaches the intended beneficiary.
Empowering institutions to deliver better outcomes through data-driven insights.
Advanced anomaly detection algorithms identify suspicious transaction patterns in real-time, preventing misuse of public funds.
Cross-referencing beneficiary data across multiple schemes to eliminate ghost beneficiaries and duplicate claims.
Reducing manual verification time by 60%, allowing officials to focus on complex cases requiring human intervention.
Transparent dashboards and audit logs increase citizen confidence in the fairness of welfare distribution.
Robust tools designed for government scale and security.
Proprietary ML models trained on historical data to predict and flag high-risk applications instantly.
Fuzzy matching and entity resolution to identify the same individual applying under slightly different details.
Dynamic risk scores assigned to every transaction or application, prioritizing reviewer attention where it matters most.
White-box models that provide clear reasons for every flag, ensuring accountability and legal defensibility.
End-to-end encryption, role-based access control (RBAC), and compliance with Digital Personal Data Protection Act.
Designed to augment human decision-making, not replace it. Final verification rests with authorized officials.
Join the mission to bring transparency and efficiency to governance.