Eco Wave Power Completes First Phase of AI-Powered Digital Twin, Advancing Intelligent Wave Energy and Future AI Data Center Applications

Milestone establishes digital foundation for predictive wave energy systems; both Eco Wave Power U.S. and AI engineering are NVIDIA Inception members, while NVIDIA Networking has issued a support letter for the Company's AI and Digital Twin development initiative

, /PRNewswire/ -- Eco Wave Power Global AB (publ) (NASDAQ: WAVE ) ("Eco Wave Power" or the "Company"), a leading onshore wave energy technology company, today announced the successful completion of the first phase of its AI-powered Digital Twin development program with Germany-based AI engineering GmbH .

The milestone represents an important step in Eco Wave Power's strategy to make wave energy increasingly intelligent, predictive and scalable .

Phase 1 created a physics-based digital model of how ocean waves interact with Eco Wave Power's proprietary floaters. The work included simulations of wave loading, floater movement, structural forces and potential energy generation under varying sea conditions, together with initial machine-learning capabilities for energy and load forecasting.

Importantly, the project also evaluated how the model can be adapted to future sites with different wave conditions — potentially enabling Eco Wave Power to transfer knowledge and engineering insights from one project to the next as it expands globally.

" We are building the digital intelligence around our physical technology, " said Inna Braverman, Founder and CEO of Eco Wave Power .

"Our technology already converts ocean waves into clean electricity. By combining it with Digital Twins and AI, our goal is to increasingly predict system performance, optimize our technology before deployment and learn faster from every project we build."

"We believe this can help us improve engineering decisions, accelerate deployment and ultimately create increasingly intelligent wave energy systems as we move toward larger commercial installations."

NVIDIA: Connecting AI, Energy and Digital Twins

Both Eco Wave Power U.S. and AI engineering GmbH are members of the NVIDIA Inception program , connecting the collaboration to NVIDIA's ecosystem of AI, accelerated computing and Digital Twin technologies.

As part of the Digital Twin initiative, the companies are utilizing and evaluating NVIDIA Omniverse for Digital Twin visualization and simulation workflows, NVIDIA Warp within the simulation and modeling toolchain, and NVIDIA-accelerated computing infrastructure to support high-fidelity simulation and machine-learning development.

Eco Wave Power's technology was also featured twice during 2026 in keynote presentations by NVIDIA Founder and CEO Jensen Huang .

In June 2026, NVIDIA further highlighted Eco Wave Power in a dedicated corporate blog titled 'Eco Wave Power Turns Waves Into Watts With NVIDIA AI Infrastructure and Digital Twins.'

NVIDIA corporate blog:

https://blogs.nvidia.com/blog/eco-wave-power-ai-digital-twins/

The NVIDIA feature explored how NVIDIA AI infrastructure, accelerated computing and NVIDIA Omniverse libraries can support Digital Twins of wave energy systems, predictive optimization and, longer term, energy-aware computing and ocean-powered data centers.

In September 2026, Eco Wave Power received an additional show of support when NVIDIA Networking (Mellanox Technologies Ltd., a subsidiary of NVIDIA Corporation) provided a formal letter supporting Eco Wave Power's proposed 'Digital Twin & Energy-Aware Computing' research project submitted to the Israel Innovation Authority.

In the letter, NVIDIA Networking described Eco Wave Power's initiative as "a key opportunity to demonstrate the application of AI, accelerated computing and Digital Twin technologies to next-generation renewable energy infrastructure" and expressed strong interest in the technology and its development.

NVIDIA Networking further stated that, if the project receives funding, it intends to assist Eco Wave Power in achieving the project's mission, subject to a mutual written agreement between the companies.

AI Engineering: Building the Physics Behind the Digital Twin

"Wave energy is a particularly challenging engineering problem because it combines complex free-surface fluid dynamics, structural motion, and highly variable environmental conditions. Our goal is to create a physics-based digital representation of Eco Wave Power's system that links high-fidelity simulation with operational data. This approach allows us to better understand energy capture, structural loading, and system behavior across a wide range of sea states. Over time, combining these physics models with machine learning can support more accurate forecasting, design optimization, and scalable deployment of wave energy technology," said PD Dr.-Ing. habil. Stefan Adami, Co-Founder and General Manager of AI engineering GmbH .

From Smarter Wave Energy to AI Data Centers

Eco Wave Power believes the Digital Twin can have applications beyond optimizing wave energy generation.

As AI data centers require increasing amounts of electricity, Eco Wave Power sees a significant opportunity to supply wave-generated renewable electricity directly to data centers located in proximity to coastlines .

The Company is currently in discussions with a number of data-center developers and infrastructure partners regarding the potential supply of wave-generated electricity to coastal and nearshore data-center facilities.

In parallel, Eco Wave Power is working to develop technology designed to enable a secure connection between wave-energy generation systems and data-center infrastructure , together with a secure settlement mechanism intended to support trusted measurement, verification and settlement of the electricity supplied.