GreenBridge.AI offers an agentic AI platform for energy asset performance management, processing complex data from SCADA, CMS, and weather systems. Its AI agents monitor asset health, optimize operational efficiency, and enhance generation yield for wind, solar, and battery storage operators.
Funding
Funding not disclosed
Founders
Product
Problem
Operators of wind, solar, and battery energy storage systems (BESS) face challenges in optimizing asset performance and maintenance due to complex data streams and the need for proactive operational adjustments. This complexity can lead to reduced generation yield, increased operational costs, and hinder sustainable energy growth.
Solution
GreenBridge.AI provides an agentic AI platform designed for energy asset performance management. The platform ingests and processes complex data from SCADA, CMS, inverter, and weather systems to generate actionable insights. Proprietary AI agents focus on asset health monitoring, operational efficiency, and performance engineering, enabling operators to optimize maintenance schedules, enhance generation yield, and improve overall asset reliability. The system integrates with existing infrastructure, offering a unified view of portfolio performance and supporting data-driven decision-making for sustainable energy operations.
Target Audience
The primary customers are asset owners, O&M providers, EPCs, and energy companies managing clean or hybrid energy systems, including wind farms, solar plants, and BESS facilities.
Features
- Agentic AI framework for monitoring, benchmarking, and enhancing asset health across wind, solar, and BESS portfolios.
- Operational and Maintenance AI Agents designed to automate and optimize daily workflows, including predictive maintenance and remote diagnostics.
- Performance Engineering AI Agents focused on maximizing generation yield and operational efficiency through analytics.
- Document Intelligence Agents that process technical manuals, fault code libraries, and SOPs to surface critical information.
- Integration capabilities via APIs with existing SCADA, EMS, and maintenance systems.
- Secure ETL pipelines with automated data quality validation for raw SCADA, CMS, and inverter data.
- Deployment time ranging from 6-10 weeks from project kickoff to production.
- Ongoing support provided by dedicated customer success managers and 24/7 technical assistance.