Śūnya Labs

Research & Consultancy at Śūnya Labs

At Śūnya Labs, we are committed to innovation and excellence. Our research and consultancy services focus on creating intelligent, data-driven solutions across various sectors. We collaborate with government organizations, educational institutions, and industry leaders to address complex challenges and drive technological progress.

Funded Projects & Consultancy


Intelligent CPS Data Analytics Platform for a Metro Rail Transport System


Funded by: Dept. of Science and Technology, Govt. of India (2018)

This project aimed to develop an intelligent cyber-physical system (CPS) data analytics platform to enhance the operational efficiency and safety of metro rail transport systems. The platform integrated real-time data from various sources, providing predictive analytics to monitor system performance, optimize train schedules, and improve passenger experience.

Idukki Dam Break Flood Mapping and Marking of Evacuation Points Downstream


Funded by: Water Resource Department, Govt. of Kerala (2021)

This initiative was designed to improve disaster management and safety protocols in the event of a dam break. Advanced flood mapping techniques were used to simulate potential flooding scenarios downstream of the Idukki Dam, identifying critical evacuation points for better emergency response planning.

Advanced AI and Data Management through JP-DAP in KMRL


Funded by: Kochi Metro Rail Ltd. (2023)

In collaboration with Kochi Metro Rail Ltd., this project focused on deploying AI and data management solutions to enhance operational efficiency, energy management, and passenger services in the Kochi Metro network. AI-driven insights facilitated better decision-making and resource optimization.

A RISC V-based Hardware Accelerator for Anomaly Detection in Autonomous Security Systems


Funded by: Chips to Startup Programme, Ministry of Electronics and IT (MeitY), Govt. of India (2023)

This project explores the design and development of a RISC V-based hardware accelerator dedicated to anomaly detection in autonomous security systems, enhancing the processing speed and efficiency of real-time anomaly detection across various sectors.