The Tech Players Powering India’s Predictive Police Push

AI, geospatial intelligence, and GPU-powered infrastructure have begun reshaping how Indian cities approach public safety. The latest is Hyderabad.

The Hyderabad City Police has deployed Blura Saga, a digital intelligence platform developed by Blue Cloud Softech Solutions Limited (BCSSL), to enable proactive response rather than reactive enforcement using data-driven decision-making. It harnesses GPU-enabled computing, secure cyber-defence frameworks, and continuously updated geospatial intelligence to aggregate signals across digital ecosystems, improving response systems and threat management.

Chandrashekar Mudraganam, CEO of BCSSL, tells AIM that the initiative addresses a longstanding operational challenge faced by law enforcement agencies worldwide—converting vast monitoring data into usable intelligence.

“The challenge Hyderabad City Police is addressing is the gap between visibility and actionable intelligence. It’s new, and it simplifies the life of police in identifying across multiple social media, the deep web, and the dark web,” he explains.

A Broader Shift Toward AI-Enabled Policing

The deployment reflects a wider transformation underway across Indian cities, with law enforcement agencies adopting digital intelligence layers that augment human decision-making.

Bengaluru City Police, which leveraged AI for the Safe City Project and adaptive traffic control, saw a 47% decline in robbery and 53% decline in chain snatching between 2023 and 2025, per Commissioner Seemanth Kumar Singh. Pune Police also recently introduced AI in registering FIRs. Meanwhile, the Gujarat Police has developed NARIT AI to strengthen investigation and prosecution in narcotics cases.

“We believe this is part of a much larger transition. Cities are becoming more dynamic, and traditional methods alone are no longer sufficient. What Hyderabad is doing is taking a meaningful step toward building a digital intelligence layer for policing—one that supports officers with data, context, and predictive capabilities. It’s not about replacing human judgment, but strengthening it,” Mudraganam states.

However, the CEO emphasises that governance and control of data remain entirely with the police authorities. “Our role at BCSSL is to provide the technology backbone, ensuring that the systems are secure, reliable, and aligned with the department’s protocols. The control, access, and usage of data are fully defined by the police authorities,” he notes.

Scalability is Critical

Rajesh Chhabra, General Manager, APAC, Large markets, Acronis, explains that law enforcement organisations can process enormous amounts of video feeds, sensor data, and information in real-time.  This enables police to transition from reactive policing to real-time, data-driven policing. It also maintains safe and dependable operations by enabling speedier threat identification, quicker decision-making, and more accurate prediction insights

However, this is difficult for traditional servers to handle.

“In this regard, GPU-enabled Access Genie BluEdge Server infrastructure by BCSSL allows police to process complex AI models, like object detection and pattern recognition, almost instantly,” Mudraganam adds.

This scalability becomes even more critical given how data itself is evolving. Spatial context has always been considered critical to any information, with Google estimating that one out of every three global searches is location-based. As urban environments grow denser and more complex, geographic intelligence is emerging as a foundational layer for public safety, governance, and emergency response.

Sameer Sankhe, Chief Digital Officer, Genesys International Corporation, says that his team has spent over two decades building what he considers India’s richest repository of urban imaging and mapping data. Through its Genesys Constellation of sensors, the company captures high-resolution street imagery, 3D city models, and attribute-rich mapping layers with centimetre-level precision. 

Such capabilities significantly expand the scope for public safety operations. 

Digital Twin in Policing 

Traditional policing models also rely heavily on reactive response mechanisms, but continuously updated digital twins introduce predictive visibility.

“It is really about moving from reactive response to predictive intelligence. When you have a living, breathing digital twin of a city, and you layer real-time data on top of it… you start seeing patterns that the human eye would simply miss,” Sankhe explains.

Using AI-driven analytics, Genesys’ Street Vision AI interprets urban environments contextually rather than merely identifying objects. For law enforcement agencies, this enables 3D crime hotspot visualisation, smarter patrol planning, and scenario simulations before deploying personnel.

Beyond Static Maps

Another interesting development is that static mapping approaches are becoming obsolete.

“Traditionally, cities would commission a mapping project, receive a dataset, and use it for a few years before the next update. That model is becoming obsolete,” Sankhe states.

Instead, cities now require continuously refreshed spatial intelligence. Genesys is currently updating nearly 1 lakh kilometres of national highways using survey-grade positioning systems. The company positions digital twins not as visualisation tools but as engineering-grade replicas of cities.

“When we create a 3D digital twin of a city, we are not just building a pretty visualisation. We are constructing an engineering-grade digital replica with centimetre-level precision,” the executive explains.

These systems integrate terrain models, elevation layers, road networks, and panoramic imagery while consuming real-time operational data. “Our platform is designed to ingest and layer real-time data feeds… IoT sensor data, CCTV feeds, weather information, traffic flow, crowd density, and incident reports,” he states.

The result is a unified spatial operating view for city administrators. Genesys’ deployments also span multiple cities and international projects.

Multiple cities and regions are now deploying digital twin technology to support urban planning, governance, and disaster preparedness.

For instance, Ayodhya has adopted the platform as its official mapping system, enabling infrastructure monitoring and real-time change detection. Meanwhile, in Mumbai’s Dharavi redevelopment project, digital twin mapping is helping formalise previously unmapped regions. 

Sankhe notes that “mapping the previously unmapped is a big step towards ensuring citizens’ rights and enabling social and financial inclusion.”

The future of policing now no longer hinges on capability, but accountability, oversight, and who controls the system.