Inside Uttar Pradesh Police’s Bet on AI-First Policing
YAKSH signals a shift from isolated surveillance tools to integrated, data-verified AI systems embedded directly into everyday policing.
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The Uttar Pradesh Police has launched YAKSH, an AI-driven policing application built on Staqu’s JARVIS One multimodal platform, marking one of India’s most extensive deployments of artificial intelligence in law enforcement.
The system was inaugurated by Chief Minister Yogi Adityanath on Sunday during Police Manthan 2025, a closed-door conference of senior police officers.
Designed to support crime prevention, investigation, and beat-level policing, YAKSH integrates video, audio, and text analysis within a single system, moving beyond traditional video analytics used by police forces.
Staqu’s JARVIS One operates entirely on internal police datasets, a design choice aimed at ensuring data sovereignty, security, and regulatory compliance.
The platform allows officers to search FIRs and case records using natural language, identify suspects through facial recognition, match voice samples, and analyse CCTV footage, audio files, and text records together without relying on external data sources.
A key feature is YAKSH’s verified data creation model at the beat level, where criminal records are generated at police stations and physically verified by beat officers before being ingested into the system. If a suspect registered in one district is linked to another, the system alerts the relevant district and beat officer, triggering on-ground verification.
YAKSH also introduces AI-based criminal ranking, categorizing offenders based on factors such as crime severity, repeat behavior, weapon usage, and risk indicators. Network analysis tools link FIRs, associates, and gangs, while dashboards show top offenders at police station, district, and state levels with real-time movement alerts.
At the heart of YAKSH lies CrimeGPT, a generative AI interface that allows officers to query crime data in simple, conversational language. Investigators can search for patterns, gangs, or historical cases without navigating multiple databases, bringing advanced analytics directly to the field.
Beyond Uttar Pradesh, Staqu’s JARVIS One framework is also being adopted by India’s Cyber Crime Coordination Centre (I4C), highlighting the platform’s scalability and growing national relevance.
