Intelligent Grid Infrastructure forThe Next Energy Era
Bypassing traditional grid limitations through proprietary AI-driven power flow optimization and modular SST architecture
Technology Stack
Three core technologies that enable rapid deployment and superior energy efficiency
AI-Driven Power Flow Optimization
AI based power flow control patent. Combining energy and cooling/heating to significantly improve data center or C&I power usage effectiveness (PUE).
Diagram: High-Voltage Proprietary Architecture with AI-Driven Control
Next-Gen Conversion
SST (Solid-State Transformer)
800VDC Modular design (1MW) and microturbine production is much faster than large gas turbine.
Visual: AI-Driven Load Balancing with Modular SST Architecture
Edge Intelligence
Sensor & Controller & Monitor
Real-time optimize the coordination of distributed energy resources (DERs).
- EdgeIQ Director
- EdgeIQ Smart Terminal
- EdgeIQ Rogowski CT
Diagram: EdgeIQ Ecosystem with Real-time DER Coordination
Technology Benefits
How WATT AI bypasses traditional grid limitations
6 Months
to Energization
Traditional methods require 12-24 months. Our modular SST architecture and AI-driven optimization enable rapid deployment, bypassing conventional grid expansion timelines.
| Category | Traditional Plan | WATT AI |
|---|---|---|
| Deployment Cycle | 12-24 months | 6 months |
| Footprint | Large space required | Modular, compact design |
| Energy Waste | Significant inefficiencies | Optimized PUE |
| Cost Saving | Higher operational costs | Up to 40% cost reduction |
Component Library
Key components of our integrated energy infrastructure
EdgeIQ Director
EdgeIQ Smart Terminal
EdgeIQ Rogowski CT
Compliance & Trust
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