New Delhi (PTI): The Enforcement Directorate on Wednesday said it has filed a chargesheet against former Mysuru Urban Development Authority commissioner G T Dinesh Kumar in connection with a money laundering investigation linked to the MUDA scam case.

The prosecution complaint was filed in the special court for trial of MP/MLA cases at Bengaluru on November 14, the agency said in a statement.

Kumar was arrested by the ED in September and he is currently lodged in a jail under judicial custody.

"The evidence and documents collected during the course of investigation in this case has indicated active involvement of G T Dinesh Kumar in the comprehensive money laundering scheme perpetrated at MUDA, Mysore during his tenure as commissioner," the agency alleged.

Probe found a "large-scale scam" in allotment of MUDA sites by flouting various statutes and government orders/guidelines and by other fraudulent means, it said.

The role of ex-MUDA commissioner Kumar has emerged as "instrumental" in illegal allotment of compensation sites to ineligible entities/individuals, as per the ED.

The modus operandi for making illegal allotment involved identification of "ineligible" beneficiaries and making allotment using fake or incomplete documents in "direct violation" of government orders and also back-dating of allotment letters in some cases.

The gratification received for making these illegal allotments was routed through a co-operative society and bank accounts of the relatives/associates of Kumar. The gratification was further used to purchase some of these illegally allotted MUDA sites in the name of relatives of Kumar, the agency claimed.

A total of 283 "illegally" allotted MUDA sites and three other immovable properties, having a market value of Rs 450 crore, have been attached by the ED .

The money laundering case stems from an FIR of the Karnataka Lokayuktha police.

The case also involved alleged irregularities in allotment of land to Parvathi, wife of Karnataka Chief Minister Siddaramaiah.

However, the Supreme Court in July upheld a Karnataka High Court decision to quash ED proceedings against Parvathi in this case.

The Justice P N Desai Commission, constituted by the state government in this case, has also exonerated Siddaramaiah and his family.

The Lokayuktha police has also given a clean chit to Siddaramaiah, Parvathi, and two others, stating that the allegations "could not be proven due to a lack of evidence".

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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.