Editorial illustration for Nvidia-backed ThinkLabs raises USD 28M, shows AI power‑grid results with SCE
ThinkLabs AI Platform Raises $28M for Power Grid Innovation
Nvidia-backed ThinkLabs raises USD 28M, shows AI power‑grid results with SCE
For decades, grid engineers measured their work in months, pouring over power-flow data, running simulations, and slowly piecing together solutions. ThinkLabs just shattered that timeline. The Nvidia-backed startup, which announced a $28 million funding round, revealed real-world results from a collaboration with Southern California Edison.
The numbers are staggering: its AI platform trains in minutes per circuit, chews through a full year of hourly power-flow data across more than 100 circuits in under three minutes, and spits out engineering reports with bridging recommendations in less than 90 seconds. The same work once locked up 30 to 35 days of a dedicated engineer’s time. That’s not an incremental gain.
It’s a fundamental reset for a power grid under unprecedented strain.
In January 2026, ThinkLabs publicly announced results from a collaboration with Southern California Edison (SCE), Edison International's utility subsidiary, that demonstrated the real-world capabilities of its platform. As the Los Angeles Times reported at the time, the collaboration showed that ThinkLabs' AI could train in minutes per circuit, process a full year of hourly power-flow data in under three minutes across more than 100 circuits, and produce engineering reports with bridging-solution recommendations in under 90 seconds -- work that previously required dedicated engineers an average of 30 to 35 days.
This is what happens when raw computation meets an infrastructure that can no longer afford delay. ThinkLabs didn’t just shave weeks off engineering timelines; it rewired the very calculus of grid resilience. Minutes replaced months.
Ninety seconds replaced a career’s worth of manual labor. The numbers are stark, but the implication is sharper: the power grid’s bottleneck has never been electrons, it has always been time, and time is no longer the enemy. With USD 28 million in new capital and a proved partnership at Southern California Edison, ThinkLabs has delivered the first credible answer to a question utilities have whispered for years: Can AI actually do the work faster than a human engineer?
The data says yes. The question now is which utility will be next to stop asking and start deploying.
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Common Questions Answered
How quickly can ThinkLabs' AI platform process power grid data?
ThinkLabs' AI can train in minutes per circuit and process a full year of hourly power-flow data in under three minutes across more than 100 circuits. This rapid processing capability represents a significant advancement in grid data analysis and modeling.
Who invested in ThinkLabs' recent funding round?
The $28 million Series A funding round was led by Energy Impact Partners, with additional investment from Nvidia's NVentures and Edison International. These investors signal a strong strategic interest in AI-driven grid modeling technologies.
What specific collaboration did ThinkLabs conduct with Southern California Edison?
ThinkLabs partnered with Southern California Edison to demonstrate its AI platform's capabilities in processing and analyzing power grid data. The collaboration, publicly announced in January 2026, showcased the platform's ability to generate engineering reports and provide actionable insights into grid infrastructure.
Further Reading
- AI Grid Solutions: ThinkLabs & SCE Solve Power Flow Risks — Los Angeles Times
- NVIDIA and Emerald AI Join Leading Energy Companies to Pioneer Flexible AI Factories as Grid Assets — NVIDIA Investor Relations
- AI Power Demand 2026: A Trillion-Dollar Power Crisis — EnkiAI
