Bengaluru (PTI): Karnataka Minister N S Boseraju on Wednesday unveiled the concept of 'India’s first Quantum City', proposed at Hesaraghatta, aimed at positioning the state at the forefront of the global quantum technology landscape.

Speaking at the Quantum Technology Roundtable during the 28th Bengaluru Tech Summit, the minister said that 2025 is being observed as the International Year of Quantum Science.

The minister for Minor Irrigation, Science and Technology added that Karnataka is preparing not only to lead in research but also to export quantum hardware, cloud services, and skilled human resources to global markets.

"Karnataka has the capability to build the quantum technologies of the future and export them to the world," he said.

Under the Karnataka Quantum Mission, the state has announced a Rs 1,000 crore investment, with the vision of building India’s strongest quantum ecosystem.

The upcoming Quantum City will serve as the centrepiece of this mission, according to a statement.

"The city will house advanced research laboratories, a Quantum Hardware Park, cryogenic testing facilities, quantum cloud clusters, and a deep-tech startup zone," it said.

Quantum City will offer end-to-end plug-and-play services, from research to incubation to commercialisation for quantum technologies, it added.

Boseraju also highlighted the state government’s recent approval of Rs 1,136 crore for establishing the Quantum Supremacy Centre in Bengaluru, a landmark initiative positioning Karnataka at the forefront of quantum chip fabrication.

"While the rest of the country is still beginning discussions on semiconductors, Karnataka is already advancing towards quantum chip manufacturing," he said.

According to the minister, Quantum City will feature state-of-the-art research laboratories and a dedicated Quantum Hardware Park.

It will also include cryogenic and precision testing facilities, quantum cloud and data clusters, and a deep-tech and quantum startup district.

The city will offer end-to-end systems linking research, manufacturing, and global exports.

"Quantum City will open a new chapter in India’s technological future. Karnataka is ready to lead the world in quantum innovation and exports," Boseraju said.

He added that during his recent visit to Switzerland, several international organisations had expressed interest in collaborating on the Quantum City initiative.

Work is already underway to establish the Swiss-Karnataka Quantum Collaboration Centre.

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TraceX Labs has announced the launch of GEOX AI, an advanced artificial intelligence platform capable of identifying the real-world location where a photograph or video was taken using only the visual content within the media.

Positioned as an enterprise-grade intelligence solution, GEOX AI leverages advanced computer vision and multi-agent AI to analyze pixel-level details such as architecture, road patterns, vegetation, signage, lighting, and environmental context. By interpreting these visual clues, the system can estimate—and in many cases precisely determine—the origin of an image or video.

AI-Powered Geolocation Intelligence

Marketed under the concept of “Locate Anywhere From Any Image,” GEOX AI is designed for intelligence operations where speed, accuracy, and reliability are critical. The platform currently supports:

  • 400+ analyses available
  • <10 seconds average response time
  • Up to 99% accuracy on landmark-based identification
  • Global coverage across diverse terrains and environments

Core Capabilities

GEOX AI integrates multiple intelligence features into a single platform:

  • Precise Geolocation:
    Identifies exact geographic coordinates using visual landmarks, architecture, vegetation, and cultural indicators.
  • Satellite Map View:
    Results are plotted on live satellite imagery with 2D/3D viewing options and multiple map styles for deeper analysis.
  • AI Reasoning Analysis:
    Provides a detailed explanation of how the system arrived at a conclusion, including confidence scoring.
  • Multi-Result Analysis:
    Returns multiple possible locations ranked by confidence, enabling cross-verification.
  • Intelligence PDF Export:
    Allows one-click generation of professional reports containing maps, coordinates, analysis, and structured findings.
  • Credit-Based Access:
    Agencies are allocated credits, with each analysis consuming one credit. Additional credits can be requested directly.

Speed Meets Intelligence

GEOX AI is designed to balance rapid processing with analytical depth:

  • Fast Mode: Delivers results within seconds for clear and high-context images
  • Advanced Mode: Performs deeper multi-step analysis for complex or ambiguous visuals
  • Built for real-time decision-making in high-pressure environments

How GEOX AI Works

The platform follows a simple and efficient workflow:

  1. Upload any image or video frame
  2. AI analyzes visual clues such as structures, terrain, and environment
  3. The system identifies location with coordinates, confidence score, and reasoning
  4. Results are displayed on an interactive satellite map
  5. Export a professional intelligence report in one click

A Breakthrough for Investigations

GEOX AI is expected to have wide-ranging applications across multiple domains:

  • Tracking the origin of images from social media and open sources
  • Supporting digital forensics and cyber investigations
  • Assisting law enforcement and intelligence operations
  • Helping journalists and OSINT analysts verify visual content
  • Providing support in missing person cases and threat intelligence scenarios

Enterprise Access and Deployment

GEOX AI is available to verified law enforcement agencies, intelligence organizations, and authorized enterprises. Access is provided through a structured system where organizations can request credentials and define their operational use cases.

Interested users can request access via tracexlabs.com or contact contact@tracexlabs.com, with response times typically within 24–48 hours.

Privacy Debate Intensifies

The launch of GEOX AI has also sparked renewed discussion around digital privacy. By demonstrating how location data can be extracted purely from visible elements within images, the platform highlights the potential risks associated with sharing photos online without considering what those visuals may reveal.

Conclusion

With GEOX AI, TraceX Labs is entering the rapidly evolving geolocation intelligence space with a platform that combines speed, precision, and real-world usability. As artificial intelligence continues to advance, tools like GEOX AI are expected to play a critical role in shaping the future of investigations, security, and digital intelligence.