Bengaluru-based AI infrastructure startup WorkOnGrid has raised Rs 22.5 crore in a funding round led by Transition Venture Capital, with participation from the Indian Angel Network. The investment comes as utility companies across the world look to modernise their systems and manage increasingly complex energy networks.
Founded in 2017 by Udit Poddar, Shreyansh Jain, Aayush Agrawal and Shaurya Poddar, WorkOnGrid’s journey has been anything but linear. The company began as a data consulting firm catering to small and medium enterprises before pivoting in 2021 to build products specifically for the energy sector. That shift now defines its positioning, as a focused infrastructure player rather than a broad AI solutions provider.
At its core, WorkOnGrid is trying to solve a problem that most utilities struggle with: fragmented data and delayed decision-making. Its platform brings together data from multiple sources, predicts potential failures, and automates operational tasks to improve efficiency and reliability across electricity, water and gas networks.
What makes its approach notable is its emphasis on compatibility. The company says its system is designed to work alongside existing infrastructure, integrating with platforms such as SCADA, GIS, ERP, AMI and IoT, rather than forcing clients to overhaul their current systems. In an industry where downtime can have serious consequences, that integration-first model could be a key differentiator.
This new capital infusion will help WorkOnGrid to broaden its geographical presence and enhance its AI and machine learning prowess. WorkOnGrid seems to be looking to grow beyond its current utility market niche as a way of scaling up its technology platform.
WorkOnGrid currently partners with more than 20 power and water utilities across the globe while processing the usage data from several million smart meters, which are capable of recording real-time usage patterns.
Financially, the company has seen a sharp rise in revenue over the past few years and has recently reported a profit after several years of losses. The shift signals a business that may be beginning to stabilise even as it continues to grow.
The timing of this funding aligns with broader shifts in the energy sector. As solar adoption increases, electric vehicles expand, and data centres consume more power, utilities are under pressure to make grids more resilient and flexible. WorkOnGrid is positioning itself within this transition, offering tools that help utilities anticipate stress points and respond faster.
What we see in this example is not only another instance of a successful raise by an AI startup, but also a change in investors’ priorities, favoring businesses creating fundamental infrastructures in fields where reliability is as crucial as innovation. In this context, the success of WorkOnGrid is not limited to the current hype about AI; it is linked to the evolution of the energy grid itself.
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