Ocean energy platform scaling from R&D to commercial power production
Panthalassa converts open-ocean wave and tidal energy into grid power and hydrogen feedstock. The stack reveals a hardware-centric engineering org: heavy simulation (OpenFOAM, STAR-CCM+, Ansys, Abaqus, OrcaFlex) and CAD (Siemens NX, Teamcenter) dominate, paired with enterprise system integration (NetSuite, PLM, MES, ERP, WMS adoption) and zero-trust infrastructure buildout. The engineering-heavy hiring mix (22 of 33 roles) and concurrent projects in MRP/MES systems and CI/CD security suggest a company transitioning from prototype validation into manufacturing scale—a phase where simulation and design tooling collide with supply-chain and operational infrastructure.
Panthalassa develops offshore renewable energy devices that capture power from ocean waves and tidal currents. The company sells grid interconnection capacity and renewable fuel (hydrogen) to shore-based customers in the energy and clean computing sectors. Operations center on mechanical design and fluid dynamics (core to ocean-environment durability), with active scaling of manufacturing processes, enterprise resource planning, and IT infrastructure. Fifty-one to two hundred employees, headquartered in Portland, Oregon, with engineering and manufacturing functions concentrated in the United States.
Primary tools include Siemens NX and Teamcenter (CAD and PLM), OpenFOAM, STAR-CCM+, and Ansys (fluid and structural simulation), Abaqus (finite-element analysis), NX Nastran (structural analysis), and OrcaFlex (marine cable and mooring systems modeling).
The company is actively adopting PLM (product lifecycle management), MES (manufacturing execution systems), ERP, and WMS (warehouse management), alongside zero-trust security and zero-touch device provisioning infrastructure.
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Panthalassa's technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →
This is not an official vendor or customer list. It is a technology-adoption signal inferred from public data, intended for B2B research.