AI digital twins powering the real world
To empower critical industries and infrastructure with trustworthy AI towards global energy sustainability.
Copilot is digital assistant that understands the mathematics of the real world. Our proprietary physics-informed AI digital twin provides a foundation model for complex engineering systems.
Real world phenomena are governed by the fundamental laws of physics, but becoming too complex and dynamic for traditional human operations.
AI digital twins of the real world are trained by, work for, and work with engineering systems, hence "physics-informed".
As much as industries and processes are unique, they share common mathematical formulation which can be trained, learnings transferred, and fined tuned for specific applications.
Powerful analytics and recommendations that assist and automate critical operational processes.
Natural language interactions augmenting operational dashboards and network views.
Train centrally and deploy locally for fast, resilient, distributed intelligence.
Specialized AI with data, formulas and guardrails from the real world
Automated situational awareness of real time operating conditions and risks.
Real world data are not always perfect to run complex engineering mathematics. Our AI is trained to stand the test of the real world.
No longer ad hoc studies, but pretrained across numerous scenarios so you're ready for all things.
Data doesn't go one way from planning and design to operations, but continuously learning and improving from in-field experience
Operating in continuous insights, advisory, supervised autonomous, or full autonomous modes
The grid is the backbone of the energy transition — a critical infrastructure undergoing profound changes such as from solar, wind, storage, electric vehicles, and data centers. Just like autonomous driving for vehicles, ThinkLabs Copilot brings AI assistance to electric grids for mission critical planning and operations.
Continuous power flow monitoring and state estimation, congestions and voltage violations.
Enable system safety, reliability, and renewable integration.
Track how infrastructure assets are being utilized under dynamic operating conditions.
Inform capital expenditures and maintenance programs
Use AI to learn real world models and validate source engineering data.
Save hassle in data cleanup and bolster trust in operations
Generate dispatch solutions to grid constraints and improve grid operations under complex operating conditions.
Drive grid reliability and resiliency, enable a 100% clean energy system.
AI digital assistant trained with grid physics, business rules, standard procedures, and operational experience.
Empower workforce training and upskilling.