ThinkLabs AI Secures $28 Million to Revolutionize Electric Grid Operations
April 1, 2026, 9:32 pm
Location: United States, California, Rosemead
Employees: 10001+
Founded date: 1886
Location: Canada, British Columbia, Vancouver
Employees: 1-10
Founded date: 2017
ThinkLabs AI closed a $28 million Series A funding round. It accelerates electric grid planning. Physics-informed AI modernizes aging infrastructure. The technology processes complex simulations in minutes. This tackles unprecedented electricity demand from AI and electrification. Key investors include Energy Impact Partners, NVentures, and Edison International. ThinkLabs AI helps utilities manage load growth and enhance system resilience.
The electric grid faces unprecedented strain. Rising demand for electricity, fueled by artificial intelligence, new data centers, and widespread electrification, pushes current infrastructure to its limits. Projections indicate U.S. electricity demand could surge 25% by 2030. Legacy planning tools cannot keep pace. These outdated systems require months for critical studies, generating results often obsolete upon completion. This creates a critical bottleneck for economic growth and energy security.
ThinkLabs AI emerges as a vital solution. The company recently secured $28 million in Series A funding. Energy Impact Partners led the round. NVentures, Nvidia's venture arm, and Edison International also participated. This investment signals strong industry confidence in AI-driven grid modernization. Additional investors included GE Vernova, Powerhouse Ventures, Active Impact Investments, Blackhorn Ventures, and Amplify Capital. An unnamed major North American utility also invested.
ThinkLabs AI applies physics-informed artificial intelligence. This technology simulates, plans, and optimizes grid operations. It operates at speeds and scales far beyond traditional methods. The platform compresses processes that once took months into mere minutes. It can run 10 million scenarios in just 10 minutes. This maintains over 99.7% accuracy on grid power flow. Utilities can now swiftly identify constraints and pinpoint effective solutions.
The company's approach stands out. It emphasizes physics-informed AI models. These models offer transparency, explainability, and audibility. Such features are crucial for regulated infrastructure like electric utilities. Reliability and trust are paramount in this sector. ThinkLabs AI avoids "black box" systems, ensuring engineers understand every decision.
Funding will accelerate company growth. ThinkLabs AI plans to expand customer delivery. It will enhance its product portfolio. This includes AI-powered digital twins and intelligent agents. The company will also scale deployment with ecosystem partners. The goal is clear: help utilities manage rapid load growth. This includes challenges from data center expansion and system capacity limits.
ThinkLabs AI differentiates itself in a crowded market. Many startups apply AI to grid management. However, ThinkLabs is unique in its AI-native grid simulation analysis. It performs full three-phase AC power flow analysis. This examines every node on the grid. It determines real and reactive power levels, line flows, and voltages. This is the same critical analysis utility engineers perform today. ThinkLabs delivers it with unmatched speed and scale.
The platform goes beyond problem identification. It leverages reinforcement learning. This generates creative solutions for grid issues. Traditional tools often only highlight problems. ThinkLabs offers actionable strategies. These might include optimal battery storage placement, load flexibility scheduling, or topology optimization. Such solutions can help utilities avoid or defer costly capital expenditures.
Strategic partnerships underpin ThinkLabs AI's strength. Nvidia's NVentures participation signals a deep relationship. ThinkLabs utilizes the Nvidia ecosystem. It leverages CUDA for GPU-accelerated computation. It integrates Nvidia’s Earth-2 climate simulation platform. This enhances probabilistic forecasting and risk analysis. Discussions with Nvidia’s Omniverse team are also underway. ThinkLabs AI brings high-intensity GPU workloads to operational technology in utilities.
Edison International's involvement is equally significant. Southern California Edison, a subsidiary, collaborated with ThinkLabs. This real-world demonstration showed massive time savings. AI trained in minutes per circuit. It processed a full year of hourly power-flow data in under three minutes across over 100 circuits. Engineering reports with solution recommendations emerged in under 90 seconds. This work previously took dedicated engineers over a month.
Microsoft also supports ThinkLabs AI. The SCE collaboration utilized Microsoft Azure AI Foundry. This places ThinkLabs within a cloud infrastructure widely adopted by large utilities. These strategic alliances provide both capital and crucial technical and industry access.
ThinkLabs AI’s CEO, Josh Wong, brings deep industry experience. He spent over two decades in the utility sector. Wong founded Opus One Solutions, a smart-grid software company. He sold it to GE in 2022. At GE Vernova, he developed the "grid of the future" roadmap. This led to the foundational thesis for ThinkLabs. He identified the grid as a central bottleneck. Autonomous grid orchestration, powered by AI, is the solution. ThinkLabs was incubated within GE Vernova. It spun out as an independent company in April 2024. GE Vernova remains a shareholder and strategic partner.
The company's team reflects its dual focus. Half are power system PhDs. The other half are AI experts. They bring experience from hyper-scalable AI infrastructure platforms and MLOps across various industries. This blend of expertise drives the company's innovative approach.
Market traction demonstrates ThinkLabs AI's impact. Utility sales cycles are notoriously long. However, ThinkLabs observes accelerated adoption. Cycles traditionally lasting one to two years now shorten to two to three months. The company works with over 10 utilities. It doubled its customer accounts in the first quarter of 2026 alone. ThinkLabs primarily targets investor-owned utilities and system operators. The AI also democratizes sophisticated grid simulation for smaller utilities lacking extensive engineering resources.
Concerns about AI accuracy in critical infrastructure are valid. ThinkLabs addresses this head-on. The 99.7% accuracy figure applies to large-volume planning studies. These include annual hourly analyses projected over multiple years. This level of accuracy is sufficient for planning. It may even surpass traditional methods. ThinkLabs argues AI can be more accurate. It is data-driven, incorporating actual measurements. Traditional planning often relies on hypothetical scenarios.
For critical real-time applications, ThinkLabs deploys hybrid models. These combine AI computation with traditional physics-based simulation. The AI handles most computational workload. A physics-based engine provides final validation. This "warm start" technique ensures robust reliability. The company strictly monitors for model drift. Training boundaries are maintained. ThinkLabs does not broadly train on the internet. It focuses on specific grid conditions. On-demand training addresses any conditions outside its established boundaries.
ThinkLabs AI's value proposition remains strong. It is resilient even if the data center boom slows. Utilities universally face modernization challenges. They still rely on outdated tools from past decades. The workforce proficient with these tools is retiring. ThinkLabs AI offers a fundamental leap forward. It provides the speed, accuracy, and transparency utilities need. The company addresses a core industry need, regardless of future demand fluctuations. ThinkLabs AI is pivotal for a modern, resilient energy future.
The electric grid faces unprecedented strain. Rising demand for electricity, fueled by artificial intelligence, new data centers, and widespread electrification, pushes current infrastructure to its limits. Projections indicate U.S. electricity demand could surge 25% by 2030. Legacy planning tools cannot keep pace. These outdated systems require months for critical studies, generating results often obsolete upon completion. This creates a critical bottleneck for economic growth and energy security.
ThinkLabs AI emerges as a vital solution. The company recently secured $28 million in Series A funding. Energy Impact Partners led the round. NVentures, Nvidia's venture arm, and Edison International also participated. This investment signals strong industry confidence in AI-driven grid modernization. Additional investors included GE Vernova, Powerhouse Ventures, Active Impact Investments, Blackhorn Ventures, and Amplify Capital. An unnamed major North American utility also invested.
ThinkLabs AI applies physics-informed artificial intelligence. This technology simulates, plans, and optimizes grid operations. It operates at speeds and scales far beyond traditional methods. The platform compresses processes that once took months into mere minutes. It can run 10 million scenarios in just 10 minutes. This maintains over 99.7% accuracy on grid power flow. Utilities can now swiftly identify constraints and pinpoint effective solutions.
The company's approach stands out. It emphasizes physics-informed AI models. These models offer transparency, explainability, and audibility. Such features are crucial for regulated infrastructure like electric utilities. Reliability and trust are paramount in this sector. ThinkLabs AI avoids "black box" systems, ensuring engineers understand every decision.
Funding will accelerate company growth. ThinkLabs AI plans to expand customer delivery. It will enhance its product portfolio. This includes AI-powered digital twins and intelligent agents. The company will also scale deployment with ecosystem partners. The goal is clear: help utilities manage rapid load growth. This includes challenges from data center expansion and system capacity limits.
ThinkLabs AI differentiates itself in a crowded market. Many startups apply AI to grid management. However, ThinkLabs is unique in its AI-native grid simulation analysis. It performs full three-phase AC power flow analysis. This examines every node on the grid. It determines real and reactive power levels, line flows, and voltages. This is the same critical analysis utility engineers perform today. ThinkLabs delivers it with unmatched speed and scale.
The platform goes beyond problem identification. It leverages reinforcement learning. This generates creative solutions for grid issues. Traditional tools often only highlight problems. ThinkLabs offers actionable strategies. These might include optimal battery storage placement, load flexibility scheduling, or topology optimization. Such solutions can help utilities avoid or defer costly capital expenditures.
Strategic partnerships underpin ThinkLabs AI's strength. Nvidia's NVentures participation signals a deep relationship. ThinkLabs utilizes the Nvidia ecosystem. It leverages CUDA for GPU-accelerated computation. It integrates Nvidia’s Earth-2 climate simulation platform. This enhances probabilistic forecasting and risk analysis. Discussions with Nvidia’s Omniverse team are also underway. ThinkLabs AI brings high-intensity GPU workloads to operational technology in utilities.
Edison International's involvement is equally significant. Southern California Edison, a subsidiary, collaborated with ThinkLabs. This real-world demonstration showed massive time savings. AI trained in minutes per circuit. It processed a full year of hourly power-flow data in under three minutes across over 100 circuits. Engineering reports with solution recommendations emerged in under 90 seconds. This work previously took dedicated engineers over a month.
Microsoft also supports ThinkLabs AI. The SCE collaboration utilized Microsoft Azure AI Foundry. This places ThinkLabs within a cloud infrastructure widely adopted by large utilities. These strategic alliances provide both capital and crucial technical and industry access.
ThinkLabs AI’s CEO, Josh Wong, brings deep industry experience. He spent over two decades in the utility sector. Wong founded Opus One Solutions, a smart-grid software company. He sold it to GE in 2022. At GE Vernova, he developed the "grid of the future" roadmap. This led to the foundational thesis for ThinkLabs. He identified the grid as a central bottleneck. Autonomous grid orchestration, powered by AI, is the solution. ThinkLabs was incubated within GE Vernova. It spun out as an independent company in April 2024. GE Vernova remains a shareholder and strategic partner.
The company's team reflects its dual focus. Half are power system PhDs. The other half are AI experts. They bring experience from hyper-scalable AI infrastructure platforms and MLOps across various industries. This blend of expertise drives the company's innovative approach.
Market traction demonstrates ThinkLabs AI's impact. Utility sales cycles are notoriously long. However, ThinkLabs observes accelerated adoption. Cycles traditionally lasting one to two years now shorten to two to three months. The company works with over 10 utilities. It doubled its customer accounts in the first quarter of 2026 alone. ThinkLabs primarily targets investor-owned utilities and system operators. The AI also democratizes sophisticated grid simulation for smaller utilities lacking extensive engineering resources.
Concerns about AI accuracy in critical infrastructure are valid. ThinkLabs addresses this head-on. The 99.7% accuracy figure applies to large-volume planning studies. These include annual hourly analyses projected over multiple years. This level of accuracy is sufficient for planning. It may even surpass traditional methods. ThinkLabs argues AI can be more accurate. It is data-driven, incorporating actual measurements. Traditional planning often relies on hypothetical scenarios.
For critical real-time applications, ThinkLabs deploys hybrid models. These combine AI computation with traditional physics-based simulation. The AI handles most computational workload. A physics-based engine provides final validation. This "warm start" technique ensures robust reliability. The company strictly monitors for model drift. Training boundaries are maintained. ThinkLabs does not broadly train on the internet. It focuses on specific grid conditions. On-demand training addresses any conditions outside its established boundaries.
ThinkLabs AI's value proposition remains strong. It is resilient even if the data center boom slows. Utilities universally face modernization challenges. They still rely on outdated tools from past decades. The workforce proficient with these tools is retiring. ThinkLabs AI offers a fundamental leap forward. It provides the speed, accuracy, and transparency utilities need. The company addresses a core industry need, regardless of future demand fluctuations. ThinkLabs AI is pivotal for a modern, resilient energy future.