ThinkLabs AI Raises $28M with NVIDIA Backing to Solve Power Grid Crisis for AI Data Centers
ThinkLabs AI, a startup building physics-informed AI models to simulate electric grid behavior, has closed a $28 million Series A round led by Energy Impact Partners, with participation from NVIDIA's NVentures and Edison International.
The Problem
U.S. electricity demand is projected to grow 25% by 2030, driven by:
- AI data centers requiring 100+ megawatts each
- Electric vehicle charging infrastructure
- Building and vehicle electrification
This demand is crashing into a grid designed decades ago for fundamentally different requirements. When utilities need to understand grid impact of connecting a large data center or EV charging cluster, engineers must run power flow simulations that take weeks or months using legacy tools from Siemens, GE, and Schneider Electric.
ThinkLabs' Solution
| Metric | Legacy Tools | ThinkLabs AI |
|---|---|---|
| Study duration | Weeks to months | Under 3 minutes |
| Scenarios per run | 1 | 10 million in 10 minutes |
| Accuracy | Baseline | 99.7%+ |
The company uses physics-informed AI models trained on engineering simulators to calculate grid behavior orders of magnitude faster than traditional approaches.
Notable Investors
- Energy Impact Partners (EIP): Lead investor, one of the largest energy transition investment firms
- NVIDIA NVentures: Strategic AI infrastructure investor
- Edison International: Parent of Southern California Edison
- GE Vernova: Returning investor
CEO Quote
"We are dead focused on the grid. We do AI models to model the grid, specifically transmission and distribution power flow related modeling." — Josh Wong, CEO
Analysis
ThinkLabs sits at the intersection of two mega-trends: AI infrastructure buildout and grid modernization. The round was "way oversubscribed" per the CEO, indicating that utilities and investors see physics-informed AI for grid management as a critical bottleneck to solve. As every major tech company races to build new data centers, the companies that can accelerate grid interconnection approvals and studies will become essential infrastructure providers in their own right.