ADVERTISEMENT
ADVERTISEMENT
Stanford-led AI venture moves to fix India’s power system
Pravāh runs on an AI native model that uses Machine learning models for hyper-accurate electricity demand and supply forecasting.
-
1759953093.png)
Staff Reporter - Wed, 26, Nov 2025
- 01:20 EST
- 16
(from left) Mohak Mangal, Dhruv Suri, and Aman Gupta / Mohak Mangal via LinkedIn, Dhruv Suri via LinkedIn, and Aman Gupta via LinkedIn
Indian origin Stanford students have created an AI startup that seeks to tackle the challenges faced in the operation of electricity grids due to poor data and research.
Mohak Mangal, Dhruv Suri, and Aman Gupta, along with Nick Brown founded 'Pravāh', a Sanskrit term meaning 'flow', on the Stanford campus. The AI grid intelligence startup aims to modernize forecasting and operations for DISCOMs, preventing outages and optimizing resource use.
Partnering with utilities in the US, Germany, and India, the company has found financial backing from the likes of Khosla Ventures, Pear VC, and Conviction.
Current tools used by Indian distribution companies are outdated, leading to frequent outages, expensive emergency buys, and financial losses. Pravāh’s platform helps prevent blackouts by predicting demand and extreme weather events more reliably than global AI models, which often fail in Indian conditions.
Pravāh runs on an AI native model that uses Machine learning models for hyper-accurate electricity demand and supply forecasting, factoring in real-time variables like weather patterns and renewable energy fluctuations. This system allows DISCOMs to plan optimal power purchases based on predictive data about weather and extreme climatic events like thunderstorms, tsunamis and cyclones.
Related
ADVERTISEMENT
ADVERTISEMENT
E Paper
Video
Comments
Start the conversation
Become a member of New India Abroad to start commenting.
Sign Up Now
Already have an account? Login