Key Highlights

  • Phase 1 Complete: Physics-based digital model of wave-floater interaction built with Germany-based AI engineering GmbH
  • NVIDIA Backing: Both companies are NVIDIA Inception members; NVIDIA Networking issued a support letter for the Digital Twin initiative
  • Data Center Opportunity: Company exploring Supply of wave-generated electricity to coastal AI Data Center facilities
  • Development Roadmap: Subsequent phases target hydraulic modeling, real-world sensor integration, and full ML-driven optimization

Eco Wave Power Global AB(NASDAQ:WAVE), an onshore wave energy technology company headquartered in Tel Aviv, announced on November 2, 2026, the successful completion of the first phase of its AI-powered Digital Twin program. Developed in Partnership with Germany-based AI engineering GmbH, the milestone marks an early but meaningful step in the company's effort to bring artificial intelligence and predictive modeling to wave energy generation.

What the Digital Twin Does and How It Was Built

Phase 1 of the program produced a physics-based digital model that simulates how ocean waves interact with Eco Wave Power's proprietary floaters — the hardware components at the core of its energy conversion system. The modeling work covered wave loading patterns, floater movement dynamics, structural forces under varying sea conditions, and initial machine-learning forecasting capabilities for energy output and mechanical loads.

Crucially, the first phase also tested how the model could be adapted to different deployment sites with different wave conditions, an important capability if the company is to transfer engineering insights from one project to the next as it scales globally. AI engineering GmbH brought expertise in computational fluid dynamics, GPU-based high-performance computing, and fluid-structure interaction to the collaboration.

"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."

NVIDIA has played a visible role in the initiative. Both Eco Wave Power U.S. and AI engineering GmbH are members of the NVIDIA Inception program, and the collaboration has utilized NVIDIA Omniverse for Digital Twin visualization, NVIDIA Warp within the simulation toolchain, and NVIDIA-accelerated computing infrastructure for high-fidelity simulation. Eco Wave Power's technology was featured twice in 2026 during keynote presentations by NVIDIA's Founder and CEO Jensen Huang. NVIDIA Networking (a Mellanox Technologies subsidiary) also issued a formal letter supporting the company's Digital Twin and Energy-Aware Computing research project submitted to the Israel Innovation Authority.

The AI Data Center Angle

Eco Wave Power has identified what it believes is an adjacent market opportunity tied to the growth of AI data centers. As data centers consume increasing amounts of electricity — largely to power AI computing workloads — the company argues that wave-generated electricity could be supplied directly to facilities located in proximity to coastlines, where ocean resources are naturally available.

The company is currently in discussions with data center developers and infrastructure partners about potential supply arrangements. In parallel, it is developing technology designed to create a secure connection between wave energy generation systems and data center infrastructure, along with a settlement mechanism intended to support trusted measurement and verification of electricity supplied. The Digital Twin's forecasting capability — which would eventually predict when wave energy output is expected to increase or decrease — could enable data centers to schedule energy-intensive computing work around renewable supply availability.

"AI can help make wave energy smarter — and wave energy can help provide the electricity that AI increasingly needs," Braverman said. "We are not only developing the intelligence to predict and optimize wave-energy production; we are also working on the secure infrastructure needed to connect that electricity directly with the data centers that need it."

Risks

Eco Wave Power is at an early commercial stage, with a limited number of operational installations. The Digital Twin program, while scientifically credible and backed by recognized technology partners, remains in early phases with significant development work ahead before it can meaningfully influence commercial outcomes. Phase 1 produced a simulation model; translating that into improved project Economics requires completing subsequent phases and validating the system against real-world operational data.

The data center supply opportunity is at the discussion stage, with no signed agreements disclosed. Coastal AI data centers represent a nascent infrastructure category, and the timeline for development of that market is uncertain. Regulatory approvals for wave energy installations in various jurisdictions also represent ongoing hurdles, as the technology is not yet widely permitted or integrated into national energy planning frameworks.

What to Watch Next

Progress through the Digital Twin roadmap — Phase 2 targeting hydraulic and mechanical modeling, Phase 3 integrating real-world sensors, and Phase 4 introducing an ML-based operational layer — will signal how quickly the company can translate its digital framework into operational improvements. Timelines and budget requirements for those phases have not been disclosed.

Any formalized agreements with data center developers or progress on the Israel Innovation Authority funding application would represent material developments. Investors should also track the status of the company's projects in Portugal, Taiwan, India, and the United States, where its Port of Los Angeles pilot is ongoing, as commercial deployment remains central to long-term progress.

Sector Context

Wave energy has long been viewed as a technically promising but commercially challenging renewable resource. Unlike solar and wind, which have benefited from decades of cost reduction driven by scale and policy support, wave energy remains at an earlier development stage globally. Onshore approaches like Eco Wave Power's — which attach systems to existing coastal infrastructure rather than deploying offshore — are generally considered lower-cost and lower-risk, though they limit the addressable resource compared to offshore alternatives.

The convergence of AI modeling and renewable energy development is accelerating across the sector. Digital twin technology is increasingly applied to wind turbines, solar farms, and grid infrastructure, and its application to wave energy follows that broader trend. NVIDIA's visibility in this space adds credibility to the technical approach, even as the commercial and financial milestones remain to be demonstrated.