Nvidia-Backed ThinkLabs AI Raises $28M to Tackle Power Grid Crunch with Physics-Informed AI
ThinkLabs AI, a startup building AI models that 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 (parent of Southern California Edison).
The Problem: AI Data Centers vs. Legacy Grids
U.S. electricity demand is projected to grow 25% by 2030 (ICF International), driven by:
- AI data center expansion
- Electric vehicle charging
- Building and vehicle electrification
When utilities need to understand the impact of connecting a large data center to a substation, engineers must run power flow simulations that can take weeks or months using legacy tools from Siemens, GE, and Schneider Electric.
ThinkLabs' Solution
ThinkLabs replaces that bottleneck with physics-informed AI models:
| Metric | Traditional | ThinkLabs |
|---|---|---|
| Grid study time | Weeks to months | Under 3 minutes |
| Scenarios in 10 min | 1 | 10 million |
| Accuracy | — | >99.7% |
Investors
- Energy Impact Partners (lead)
- Nvidia NVentures
- Edison International (Southern California Edison)
- GE Vernova, Powerhouse Ventures, Active Impact Investments, Blackhorn Ventures, Amplify Capital
The round was "way oversubscribed" according to CEO Josh Wong.
Analysis
ThinkLabs represents the infrastructure layer of the AI boom — the meta-problem of providing enough electricity to power the compute. With Nvidia as both the beneficiary of data center demand AND an investor in grid solutions, the company is positioning itself at the intersection of AI compute and energy infrastructure.
The 10-million-scenarios-in-10-minutes capability is particularly significant for utilities planning data center interconnections, which have become a critical bottleneck for AI infrastructure deployment.