TL; DR: We’re building a decision-making engine for the electric grid, so that utilites can better predict supply, demand, grid volatility, and extreme weather. We’re looking for founding team members to scale our platform globally. We’ve landed multi-million dollar contracts with some of the largest utilities in the world, have raised $7.5M from three of Silicon Valley’s top VCs and are actively working on scaling our platform in three countries. But most importantly, we’re solving a generational problem with global impact - all while having fun every single day working on this. If you care about solving global problems, have high agency, and want to work with some of the most energetic and brilliant people in the world, join us :)

Hi! We’re Dhruv, Mohak, Aman, Helgi and Nick, the founding team of Pravāh.

We began this journey in January with a single mission: to redefine the electric grid for the next 100 years. We’re now assembling our founding team to bring that vision to life. If you're an engineer, MLE, or a power systems specialist who dreams big, builds fast, and wants to leave a mark on the world, we would love to speak with you :)

The Grid is Failing. Everywhere.

Blackouts in Spain. Congestion in California. Renewable curtailment in India and Latin America. Our grids are cracking under the pressure of climate change, renewable energy, data center load growth, and scale. However, much of the energy infrastructure is over a century old.

We believe the grid will define the next century and we want to redefine the grid.

Our solution: a real-time decision intelligence system for utilities and grid operators. Think Google Maps, but for electricity. We provide unprecedented visibility into the grid’s current state and predictive insights into how it will evolve, regardless of the volatility in supply or demand.

We help operators make real-time calls on load, generation, and congestion, unlocking hundreds of millions in value while improving reliability and accelerating the clean energy transition.

Traction in <12 Months

In an industry where contracts typically take years to close:

• We’ve already signed pilots in three countries and are converting POCs into multi-year contracts. We are close to signing a 7-figure annual contract with one of the world’s largest utilites serving 100 million people in just 3 months.
• We're actively deploying with utilities that have $5B+ in annual revenue.
• We’re on track to be embedded in live control rooms.
• We raised $7.5M from Khosla Ventures (one of the first investors in OpenAI), Pear VC (first investor in Doordash), Conviction (led by Sarah Guo), MCJ Collective.

There’s a once-in-a-generation moment unfolding right now — a narrow window to build the defining AI company for the energy sector. Grid complexity is exploding, loads are skyrocketing from EVs and data centers, and extreme weather has become a weekly headline. The New York Times has run ten consecutive days of coverage on grid failure risk — something that didn’t even happen during the oil crisis. The world has finally realized that AI runs on electricity, and electricity runs on the grid.

The winners of this decade will be the teams that can fuse cutting-edge machine learning with deep grid physics to manage volatility in real time. Utilities know their legacy tools can’t keep up. Incumbents can’t rewrite their stacks. And most startups are optimizing around tiny wedges rather than building the core nervous system the grid actually needs.