Panthalassa

Prior to co-founding Panthalassa in 2016, Garth Sheldon-Coulson served as a Senior Investment Associate at Bridgewater Associates, where he also engaged in AI research, and held a Research Fellow position at Stanford University. He holds a J.D. from Harvard Law School, an S.M. from MIT, and a B.A. from Swarthmore College.

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Brian Moffat previously worked as an Inventor at Spindrift Energy, where he developed a novel wave energy system, and held roles including programmer at Google with experience connected to Disney Imagineering; he holds three Bachelor of Science degrees from UC Irvine in Computer Science, Chemistry, and Biology, along with a decade of research experience in ocean energy.

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Ivar Thorson previously worked as a Big Data Specialist (contractor) at Nike Sports Research Lab and conducted advanced robotics research, including at the Istituto Italiano di Tecnologia; his Ph.D. focused on the codesign of controllers and natural dynamics for monopod hopping robots, with broader experience in physics-based simulation and neuroscience. He holds a Ph.D. in Advanced Robotics from Istituto Italiano di Tecnologia, an M.S. in Mechatronics from Nagoya University, and a B.S. in Electrical Engineering from the University of Washington.

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Ocean-3 nodes are autonomous, self-propelled floating platforms that generate continuous clean electricity from open-ocean waves to power modular AI inference computing hardware onboard. Each node features a simple solid-state lollipop-shaped design (approximately 85 meters tall with a buoyant spherical head and submerged tube or 50-meter diameter sphere with 60-70 meter neck) with no engines, hinges, or gearboxes; wave motion drives oscillating water flow through an internal turbine in a pressurized reservoir to produce up to around 1 MW of power per unit with high uptime. Onboard GPU-class chips perform AI workloads, cooled for free by surrounding seawater, with results transmitted to shore via low-Earth orbit satellites such as Starlink; multiple nodes can cluster to function as a distributed offshore data center. The platform operates untethered in high-energy wave regions far offshore without seafloor connections. As of May 2026, a $140 million Series B round led by Peter Thiel is funding completion of a pilot manufacturing facility near Portland, Oregon, and 2026 pilot deployments of the Ocean-3 series in the northern Pacific to demonstrate AI inference and refine production ahead of targeted commercial deployments in 2027. Earlier Ocean-1 (2021) and Ocean-2 (2024, including February 2024 Puget Sound trial) prototypes validated core power generation, autonomy, and related subsystems at sea.

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Panthalassa's wave energy nodes generate onsite electricity from ocean waves to power electrolyzers producing green hydrogen and other clean fuels directly at sea for subsequent ship-based delivery to shore. The same simple solid-state node architecture (spherical reservoir and submerged neck/tube with single internal turbine) converts wave motion into pressurized water flow for continuous power generation, enabling zero-emission fuel synthesis without land-based infrastructure constraints. Ocean-1 prototype testing in 2021 demonstrated onboard green hydrogen production via water electrolysis. At scale, the approach targets costs competitive with or below terrestrial alternatives by leveraging abundant open-ocean resources and existing maritime logistics for fuel transport. As of mid-2026, this capability remains in development alongside the primary compute application, with the $140 million Series B supporting overall platform advancement toward fleet deployment.

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Aikido Technologies develops floating offshore wind platforms that integrate AI-grade compute capacity directly into the structure alongside wind turbines and battery storage, enabling self-powered marine data centers for hyperscalers and sovereign users. It competes most directly with Panthalassa by offering an integrated floating platform model for offshore renewable-powered compute, though it relies on wind resources and established floating wind supply chains rather than wave motion. Durable strengths include proprietary flat-pack modular design for rapid assembly using existing offshore fabrication yards, access to over 50 GW of distressed floating wind sites globally for repurposing, and engineering standards drawn from oil-and-gas practices for 50-year storm survivability with high vessel access rates. Structural advantages stem from policy support for offshore wind permitting and dual-use infrastructure, allowing faster path to GW-scale deployments without new marine energy-specific hurdles. Constraints include greater exposure to wind intermittency (addressed via batteries and grid ties) compared to wave energy's more consistent output, and competition for prime lease areas with pure wind developers. The model benefits from mature floating wind technology maturity and local manufacturing synergies that reduce deployment timelines to under two years for large installations.

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CorPower Ocean designs and deploys compact, high-efficiency wave energy converters using patented phase-control technology inspired by the human heart, enabling modular CorPack arrays that deliver utility-scale power from ocean waves with superior output per tonne of equipment. It overlaps substantially with Panthalassa through advanced wave energy conversion for clean, firm power in marine environments, with a roadmap toward commercial wave farms that could support similar offshore or coastal energy needs, though focused more on grid export than onboard compute. Durable strengths include proven survivability in Atlantic storms up to 18-meter waves via adaptive detuning, fivefold energy capture efficiency validated in real conditions, and modular design supporting volume manufacturing without specialized ports. Structural positioning benefits from integration potential with existing offshore wind assets for shared infrastructure and policy tailwinds for diversified renewables that reduce storage needs in firm clean energy mixes. Constraints center on the capital-intensive path to first commercial farms and competition for nearshore or coastal sites with other marine energy projects. The approach leverages standardized units for scalability across coastal nations, enhancing energy security through predictable local generation.

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CalWave develops the xWave submerged wave energy converter system optimized for high performance across multiple degrees of freedom while mitigating loads in extreme conditions, targeting reliable ocean power for grid and remote applications. It ranks closely with Panthalassa as a US-based wave energy player advancing open-ocean deployments with a focus on cost-effective, storm-resilient technology that could extend to integrated marine uses. Durable strengths include successful long-duration autonomous operation in real Pacific conditions with near-100% uptime and no intervention, utility partnerships such as power purchase agreements, and DOE-supported development emphasizing practical commercialization. Structural advantages arise from its positioning within the US marine energy ecosystem, including access to federally approved test sites like PacWave, which provides regulatory pathways and validation infrastructure. Constraints involve the typical challenges of scaling wave energy from pilots to arrays amid variable ocean environments and funding cycles common to the sector. The technology's emphasis on submerged designs reduces visual and certain ecological impacts while prioritizing survivability for durable offshore performance.

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Ocean Power Technologies (OPT) provides wave-powered PowerBuoy platforms that deliver autonomous electric power and data communications for remote maritime applications, alongside unmanned surface vehicles and AI-integrated systems like Merrows for defense and offshore markets. It overlaps with Panthalassa via wave energy converters deployed in open ocean for persistent offshore infrastructure, including power generation that supports sensing or compute-adjacent uses, with a commercial focus on defense and security customers rather than hyperscale AI. Durable strengths include a public company structure with recurring revenue models from multi-buoy contracts, field-proven deployments in demanding environments, and expansion of international defense engagements that leverage established maritime domain awareness capabilities. Structural positioning benefits from regulatory familiarity in US coastal and defense waters plus a diversified portfolio including ASVs that broadens go-to-market options beyond pure energy. Constraints include smaller per-unit power scales suited to remote rather than utility or compute-farm applications, and reliance on government contracting cycles. The model capitalizes on ocean intelligence synergies where wave power enables persistent, low-maintenance operations in blue economy sectors.

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Eco Wave Power develops and operates onshore wave energy systems using patented floaters attached to coastal structures to convert wave motion into grid-connected electricity, with active projects spanning multiple continents. It competes in the broader wave energy space with Panthalassa through commercialized wave conversion technology aimed at scalable renewable power, though its shore-mounted approach differs from open-ocean floating nodes and targets grid or industrial buyers more than integrated compute. Durable strengths include operational grid-connected plants such as Israel's first, successful US pilot completion at Port of Los Angeles with partners like Shell, and a substantial global project pipeline supported by government recognitions and funding programs. Structural advantages derive from its public listing (NASDAQ: WAVE), nearshore siting that simplifies permitting and maintenance relative to deep-water deployments, and exploration of AI-driven optimizations for energy infrastructure. Constraints involve dependence on suitable coastal infrastructure for attachment points and potentially lower power density compared to offshore wave resources. The positioning leverages international expansion and policy support for renewables to build reference projects that de-risk further adoption.

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Panthalassa’s proprietary lollipop-shaped Ocean-3 nodes, designed with no hinges, gearboxes or engines and relying on internal turbines for wave-to-electricity conversion plus seawater cooling for onboard AI servers, have only completed subsystem validations and sheltered-water tests such as the Ocean-2 prototype in Puget Sound that produced approximately 50 kW; the first full integrated open-ocean deployment of Ocean-3 series nodes in the northern Pacific is scheduled for 2026 with commercial fleets targeted for 2027. The marine environment introduces persistent risks of saltwater corrosion, biofouling, storm damage and continuous motion that have caused repeated failures in prior wave-energy projects, and no company has yet demonstrated reliable autonomous operations or maintenance logistics for hundreds or thousands of large floating compute platforms hundreds of miles offshore. While earlier sea trials matched simulation forecasts, the step-up to commercial-scale manufacturing at the new Portland pilot facility and sustained uptime across variable sea states remains unproven, directly threatening the company’s ability to deliver its targeted sub-2 cent per kWh economics or capture AI inference workloads. This execution risk is structural given the early-stage status and the absence of any disclosed long-term performance data from remote, high-energy wave regions. Diverse team experience drawn from SpaceX, NASA and naval architecture firms provides engineering depth but does not substitute for demonstrated fleet-scale reliability in the target environment.

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Panthalassa was founded in 2016 by Garth Sheldon-Coulson, who has served as CEO with a background in AI research and investments at Bridgewater Associates, and Brian Moffat, Chief Innovation Officer with prior ocean-energy work at Spindrift Energy; multiple patents on the wave-engine and self-powered computing buoy technologies list the founders as inventors. The company employs approximately 120 people drawn from aerospace and tech backgrounds, yet remains founder-dependent for ongoing innovation, integration of power generation with onboard AI compute, and overall direction at a stage where the first commercial deployments are only one year away. Key-person risk is amplified by the absence of publicly disclosed succession plans or deep bench of marine-operations executives experienced in scaling remote autonomous fleets. This concentration creates execution and continuity vulnerabilities that could delay timelines or impair investor confidence if either founder’s involvement changes. The team’s cross-disciplinary expertise from organizations such as SpaceX, NASA and naval architecture firms offers some breadth but does not mitigate the structural dependence on the two individuals who have driven the platform since inception.

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Panthalassa plans to deploy Ocean-3 nodes in the northern Pacific and operate in open-ocean or international waters, exposing the company to overlapping U.S. federal oversight from NOAA, the Army Corps of Engineers, FERC, DOE and environmental statutes requiring environmental impact assessments, plus potential international maritime rules or fishing-rights conflicts. Similar offshore energy projects have encountered protracted approvals, community opposition and cancellations tied to marine ecosystem concerns, yet no specific permits or regulatory milestones for the 2026 pilot deployments have been publicly disclosed. This regulatory regime introduces structural uncertainty and timeline risk that could push commercial operations beyond the 2027 target and increase costs through extended studies or mitigation requirements. The absence of any announced streamlined pathway or precedent for autonomous floating compute platforms in these jurisdictions heightens the exposure. Multiple independent analyses have flagged regulatory confusion and agency coordination challenges as primary barriers for comparable marine infrastructure.

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Panthalassa has raised substantial capital including a $140 million Series B in May 2026 at a valuation near $1 billion but remains pre-revenue with no publicly identified customers, offtake agreements or revenue-generating deployments; the business model depends entirely on future adoption by AI providers for inference workloads processed onboard and returned via LEO satellite links such as Starlink. Satellite connectivity introduces documented latency and bandwidth constraints that limit suitability to batch or edge inference rather than real-time or high-volume data-transfer tasks, narrowing the addressable market relative to fiber-connected land data centers. The aggressive timeline from 2026 pilots to 2027 commercial operations leaves little margin for validating demand or unit economics before further capital raises become necessary. This commercialization risk is compounded by the capital-intensive nature of manufacturing large steel nodes and establishing remote fleet operations without any demonstrated traction. Steel supply contracts with U.S. and South Korean suppliers exist for the pilot phase, yet these do not address downstream customer acquisition or pricing power.

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Tech journalist Ashlee Vance highlighted the decade of secretive development and described the massive floating nodes as 'nuts' in a widely shared post with thousands of engagements, emphasizing their wave-driven power generation for onboard GPUs. Futurist Peter Diamandis called the Thiel-led $140M raise 'real' and positioned it as a tangible advance. Investor Mike Schroepfer of Gigascale Capital (ex-Meta CTO) argued the co-located renewable power and free seawater cooling uniquely address grid, land, and interconnection bottlenecks for AI infrastructure, potentially catalyzing wave technology scale. Broader social media commentary, including detailed explainers from accounts like Hamza Khalid, praised the physics-grounded approach eliminating land-based limits on electricity, cooling, and siting while using satellites for data return. This narrative gained traction following the May 2026 Series B announcement valuing the company near $1B with backers including John Doerr and Marc Benioff’s TIME Ventures.

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Climate tech consultant and CleanTechnica author Michael Barnard argued in a detailed May 2026 piece that wave energy’s decades-long commercialization failures (citing Pelamis, Aquamarine Power, and Ocean Power Technologies) stem primarily from maintenance challenges like corrosion, biofouling, fatigue, and storms rather than wave resource variability, and that adding AI compute creates a compounded 'stack of hard technologies and harder operations' without erasing the ocean’s physical vetoes. Barnard emphasized that 'the ocean does not care about clean narratives' and that reframing around onboard inference avoids export cables but leaves stationkeeping, efficiency loss stacks, and failure modes (potentially creating maritime hazards) intact. Latitude Media echoed this by noting historical wave startup bankruptcies and questioning whether new capital and the data-center use case will overcome longstanding economics and complexity. Academic Bryson Robertson offered a measured view, acknowledging capital enables iteration but stressing cost-effectiveness remains unproven against proven renewables.

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Online discussions, including Reddit threads in trading and ocean power communities, frequently compare Panthalassa to Ocean Power Technologies (OPTT), portraying it as similar buoy-based wave tech 'with an AI wrapper' given OPTT’s long but commercially mixed track record. X commentary echoed this, noting that durability, storms, and remote maintenance will determine if the approach evolves past historical hurdles or repeats them. Barnard further highlighted that satellite links suit latency-tolerant AI inference workloads but constrain bandwidth-heavy training or tightly coupled cloud uses, narrowing the addressable market to a niche rather than a broad replacement for land-based infrastructure. Analyst pieces like Sacra’s note integration risks across marine autonomy, compute uptime, and scalable offshore manufacturing as a multi-problem stack competitors address more incrementally.

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Scattered public comments, such as on CBS News coverage of sea-based data centers, raised worries about localized ocean heating, impacts on marine life, or 'killing fish,' though these remain anecdotal rather than deeply analyzed. More substantive takes from Barnard and Latitude Media touch on potential thermal plumes, noise, or biofouling effects but frame them within broader operational challenges rather than as standalone deal-breakers. No widespread independent expert consensus or builder-community debate on environmental permitting emerged in the current conversation around the recent funding.

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