As energy demand soars and the transition to renewables accelerates, the U.S. grid is under more pressure than ever. Utilidata, a Rhode Island-based energy tech firm, has just raised $60.3 million in Series C funding to bring artificial intelligence to the edge of grid infrastructure—without needing to rebuild it from scratch.
The round was led by Renown Capital Partners, with strategic participation from NVIDIA, Quanta Services, and Keyframe Capital, signaling a high-stakes bet on edge AI as the future of grid resilience and clean energy integration.
Karman: The Smart Platform Behind the Shift
At the heart of Utilidata’s expansion is Karman, its real-time grid optimization platform built on NVIDIA Jetson Orin Nano. Unlike traditional grid software, Karman leverages embedded AI and local decision-making to help utilities:
- Balance grid loads in real time
- Integrate variable renewable sources like wind and solar
- Predict and prevent failures
- Reduce carbon emissions
Because it works with existing grid infrastructure, Karman represents a low-disruption, high-impact upgrade path for utility operators.
Strategic Partnerships for Real-World Scale
Utilidata is collaborating with hardware partners like Hubbell and Advantech to deploy its AI sensors at scale. These smart sensors allow for edge computing directly at the distribution level — enabling split-second decisions that would be impossible via cloud-only solutions.
“Rather than waiting for data to travel back and forth from the cloud, Karman processes it where the energy is generated and consumed,” said CEO Josh Brumberger. “That’s the power of AI at the edge.”
Funding That Signals Transformation
This new capital injection will be used to:
- Accelerate commercial deployments
- Expand partnerships with utilities and OEMs
- Advance product development, especially around predictive grid modeling
The funding reflects broader industry confidence in edge AI for modernizing power grids without requiring massive capital overhauls.
Why It Matters Now
With electrification trends across transport, homes, and industry, utility companies are struggling to meet demand while keeping reliability high and emissions low. Traditional grid planning—centered around centralized control and delayed feedback loops—is no longer sufficient.
Utilidata’s approach of distributed intelligence enables a smarter, cleaner grid that can dynamically adapt to real-world conditions, like solar intermittency or EV charging spikes.
The Bigger Picture
The announcement lands at a time when infrastructure resilience and clean energy integration are top national priorities. As public and private sectors pour billions into the energy transition, AI-powered tools like Karman could become essential infrastructure themselves.
Sources: Utilidata
