Company profile
ThinkLabs AI
AI digital twins and agents for electric grid management.
- Category
- Vertical SaaS
- Headquarters
- New York, NY
- Sells to
- Enterprise
- Business model
- Not stated
- Deployment
- Cloud / SaaS
- Pricing
- Not published
- Builds own models
- Yes
- Modalities
- Other
What ThinkLabs AI does
ThinkLabs AI develops and deploys specialized AI solutions for critical industries and infrastructure, focusing on global energy sustainability. Their flagship product, ThinkLabs Copilot, is a digital assistant that uses proprietary physics-informed AI digital twins to create a foundation model for engineering systems. They provide AI digital twins and agents for utilities and grid operators to manage increasingly complex electric systems, offering continuous automation for grid planning and operations.
Products
- AI Digital TwinPhysics-informed AI that establishes a trusted and high-performance grid simulator.
- AI TasksAI tasks that perform advanced grid analyses with hyper speed, scale, and intelligence.
- AI AgentsAutomate complex workflows for grid planners and operators, saving time, reducing costs, and improving decision making.
Key capabilities
- Physics-informed AI digital twins
- Foundation model for engineering systems
- Continuous automation for grid planning and operations
- High-performance grid simulator
- Advanced grid analyses with hyper speed, scale, and intelligence
- Automated complex workflows
- 100% modeling of every line, bus, and node
- >99.8% accuracy for reliable AI-based time series T&D power flow
- <2.5min hyper speed on >100 circuits for multi-year 8760 power flow studies
- 10M scenarios in <10 min for robust decision making under uncertainties and contingencies
- Automated wires and non-wires solution generation with continuous learning
- One-click automated interconnection study in <1 min
Use cases
- Managing complex electric systems
- Grid planning
- Grid operations
- Advanced grid analyses
- Automating workflows for grid planners and operators
- Time series T&D power flow analysis
- Decision making under uncertainties and contingencies
- Wires and non-wires solution generation
- Interconnection studies
AI approach
ThinkLabs AI develops AI digital twins and agents for utilities and grid operators. Their flagship product, ThinkLabs Copilot, is a digital assistant that uses proprietary physics-informed AI digital twins to provide a foundation model for engineering systems. They focus on physics-informed AI for high-performance grid agents, enabling continuous automation for grid planning and operations with high accuracy and speed.
Tech named: physics-informed AI digital twins, foundation model, AI digital twin, AI tasks, AI agents
Industries served
- Utilities
- Critical infrastructure
What it says sets it apart
- Proprietary physics-informed AI digital twins
- Foundation model for engineering systems
- Differentiated AI for high performance grid agents
- 100% modeling of every line, bus, and node
- >99.8% accuracy for reliable AI-based time series T&D power flow
- <2.5min hyper speed on >100 circuits for multi-year 8760 power flow studies
- 10M scenarios in <10 min for robust decision making under uncertainties and contingencies
- Automated wires and non-wires solution generation with continuous learning
- One-click automated interconnection study in <1 min vs. months of manual analyses
Funding rounds we track
Energy Impact Partners, GE Vernova, Powerhouse Ventures, Active Impact Investments, Blackhorn Ventures, Amplify Capital, Nvidia, Edison International, Nvidia Ventures
Powerhouse Ventures, Active Impact Investments, Blackhorn Ventures, Amplify Capital, Mercuria Energy, a national US energy company
From the AI funding tracker — rounds as reported by the linked publications.
This profile was compiled from ThinkLabs AI's own public pages in July 2026 and reflects what the company states about itself — not an endorsement or an independent audit of those claims. Facts are extracted with AI and filtered by an automated check that drops any named product, customer or certification missing from the source pages. Full method. Something out of date? Tell us.