Sarva Suvidhaen: Bihar Startup Is Using AI and IoT to Make Indian Railways Smarter

India’s railway network, one of the largest and most complex public infrastructure systems globally, comprises thousands of trains, millions of passengers, freight transportation, stations, tracks, and field teams. The efficiency of such a system relies on timely reports and real-time information. However, delays and disorganization can have widespread consequences.

Recognizing this, a Bihar-based startup, Sarva Suvidhaen, is leveraging artificial intelligence (AI), Internet of Things (IoT), computer vision, and software to enhance railway operations and other large infrastructure systems in India. Founded by Atul Anand and Srishti, both with diverse professional backgrounds, the company aims to tackle ground-level issues in public infrastructure rather than focusing solely on private sectors.

During the lockdown, Atul Anand and Srishti, working from Patna, noticed the need for better data, automation, and real-time monitoring in Indian Railways. This observation led to the idea of Sarva Suvidhaen, a startup that uses technology to address challenges faced by public infrastructure. Atul, a computer science graduate with experience in software development at companies like Oracle and Oracle, felt that technology should benefit not only companies but also the country's large public systems.

Srishti, who had expertise in business, management, and operations, encouraged Atul to explore this direction.

Sarva Suvidhaen focuses on developing AI, IoT, and software solutions tailored for organisations with operations spread across multiple locations. Such systems often face challenges with manual reporting and limited data visibility, which can hinder decision-making. The company operates on a B2B and B2G model, offering software and IoT solutions, their deployment, consultancy, and maintenance.

Atul emphasizes that they did not begin with a large market study. Instead, while living in Patna during the lockdown, they directly observed real-world problems. They believed that leveraging technologies such as machine learning and IoT could help understand and solve these issues. With Atul handling the technology aspects and Srishti focusing on business and operations, Sarva Suvidhaen’s work progressed.