TGdeX – MeeSeva, Electronic Service Delivery, ITE&C Department, Government of Telangana
TGdeX
Problem
- Government data is fragmented across various departments, creating silos that hinder collaboration and integrated decision-making.
- There is a lack of secure and standardised data-sharing mechanisms, which restricts interoperability between systems and slows digital transformation.
- Startups, researchers, and developers face limited access to the trusted, high-quality public datasets necessary for innovation.
- The absence of a unified, AI-ready infrastructure delays the development of scalable, citizen-centric digital solutions.
- Difficulty in utilising data for real-time, evidence-based policymaking negatively impacts the efficiency of governance and service delivery.
Solution
- Conducting requirement analysis and risk assessments to propose a secure, scalable, and interoperable platform architecture.
- Developing the platform according to technical specifications and milestone-based requirements.
- Configuring the TGDeX AI Sandbox with AI-ready datasets, secure IDE environments, and Kubernetes-based auto-scaling infrastructure.
- Creating user interface applications using existing templates with custom branding and integrated dashboards.
- Performing rigorous stress, load, and security testing to ensure the system can handle workloads and remain secure.
Outcomes
- Established a unified AI sandbox ecosystem (TGDeX) that provides access to AI-ready datasets, models, and secure development environments.
- Improved secure data sharing and interoperability across government departments through standardised, consent-driven governance frameworks.
- Accelerated the development of AI solutions by allowing startups and government teams to rapidly prototype and test use cases.
- Strengthened cross-sector collaboration between government, industry, and academia to build citizen-centric solutions.
- Created a platform that empowers the use of data for building solutions in critical areas like healthcare, agriculture, and urban mobility.
Outcomes
- Established a unified AI sandbox ecosystem (TGDeX) that provides access to AI-ready datasets, models, and secure development environments.
- Improved secure data sharing and interoperability across government departments through standardised, consent-driven governance frameworks.
- Accelerated the development of AI solutions by allowing startups and government teams to rapidly prototype and test use cases.
- Strengthened cross-sector collaboration between government, industry, and academia to build citizen-centric solutions.
- Created a platform that empowers the use of data for building solutions in critical areas like healthcare, agriculture, and urban mobility.
SKOCH Award Nominee
Category: State Government – Information Technology
Sub-Category: State Government – Information Technology
Project: TGdeX
Start Date: 7-04-2025
Organisation: MeeSeva, Electronic Service Delivery, ITE&C Department, Government of Telangana
Respondent: T Ravi Kiran
https://tgdex.telangana.gov.in/
Level: Premium Plus
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Case Study
The Telangana Data Exchange (TGDeX) is a pioneering initiative by the ITE&C Department of the Government of Telangana, designed to overcome the persistent challenges of fragmented government data. Traditionally, public sector data has been confined within departmental silos, lacking secure and standardised mechanisms for exchange. This fragmentation has historically hindered integrated decision-making and limited startups, researchers, and developers’ access to high-quality, trusted datasets necessary for large-scale innovation. By establishing a unified platform for secure data exchange and AI experimentation, TGDeX seeks to transform these data silos into a collaborative ecosystem for evidence-based policymaking and improved public service delivery.
The project implementation followed a structured process beginning with a rigorous requirement analysis and risk assessment phase. A critical component of the planning involved a partnership with the Vidhi Centre for Legal Policy to develop a robust data governance and policy framework aligned with the Digital Personal Data Protection (DPDP) Act 2023. Following this, the technical development focused on creating core infrastructure, including data ingestion pipelines, AI model management, and secure sandbox environments featuring integrated development tools. The platform was ultimately deployed on a scalable, GPU-enabled infrastructure utilising Kubernetes for auto-scaling and high availability.
Throughout the deployment, the team navigated several complex challenges, most notably integrating heterogeneous datasets from various departments with diverse formats and standards. Balancing the need for high-performance AI workloads with cost-efficient GPU infrastructure also presented a significant technical hurdle. Furthermore, ensuring strictly secure, consent-driven data sharing while maintaining compliance with privacy regulations requires continuous focus and oversight. Addressing the varying levels of technical maturity among stakeholders was also essential, necessitating ongoing training and ecosystem support to drive adoption across government and industry users.
The successful rollout of TGDeX has resulted in a unified AI sandbox ecosystem that provides immediate access to AI-ready datasets, models, and APIs. This infrastructure has accelerated the development of citizen-centric AI solutions by enabling startups and government teams to rapidly prototype use cases across healthcare, agriculture, and urban mobility. By standardising interoperability through policy-compliant frameworks, the project has strengthened cross-sector collaboration between government, academia, and industry. Looking forward, the TGDeX architecture is designed for horizontal scaling, with plans to expand its datasets and use cases to serve as a statewide model for data-driven innovation.
For more information, please contact:
T Ravi Kiran at dir_eseva@telangana.gov.in
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