Eco Wave Power advances WaveGPT AI platform and coastal data center plan
WAVE•Eco Wave Power is collaborating with FAU and University of Michigan to develop WaveGPT, an AI-driven platform for its wave energy installations and to design a wave-powered coastal data center. Eco Wave submitted a TEAMER application for predictive analytics and plans a joint grant for AI-optimized energy storage and cooling.
1. Strategic Partnerships and Discussions
In early June 2026, Eco Wave Power convened a strategic meeting with Florida Atlantic University and University of Michigan experts in marine renewable energy, AI, digital twins and energy systems to explore AI-powered wave energy applications and next-generation coastal infrastructure.
2. WaveGPT AI Operational Platform
The company is advancing WaveGPT, its AI-driven operational intelligence platform designed to convert real-time wave energy data into predictive analytics, forecasting, anomaly detection and performance optimization, supported by a submitted TEAMER application for data-driven energy flow mapping and operational planning.
3. Coastal Data Center Concept
Eco Wave Power and its academic partners are developing a concept for a wave-powered, AI-optimized coastal data center that integrates wave energy generation, seawater-assisted cooling, energy storage, workload management and digital twin forecasting to support future AI and edge computing needs.
4. Next Steps and Outlook
Subject to review and funding approvals, Eco Wave Power plans to submit joint grant proposals to formalize the collaborations, aiming to secure financial support and advance its strategy to create AI-enabled renewable energy infrastructure for high-demand digital applications.
