Amphitrite, a startup named after the Greek goddess of the sea, is revolutionizing maritime-shipping and oceanic litter-collection operations by combining satellite data and AI to simulate and predict oceanic currents and weather. Powered by NVIDIA AI and Earth-2 platforms, Amphitrite’s AI models provide insights on positioning vessels to optimize travel times, fuel consumption, and carbon emissions. Co-founder and CEO Alexandre Stegner believes their work is crucial for fostering the energy transition and addressing environmental issues.
Founded by expert oceanographers, Amphitrite stands out from other weather modeling companies with its domain-specific expertise. Their AI models, trained on NVIDIA GPUs and showcased in the ORCAst method, focus on analyzing ocean parameters in fine detail to provide accurate predictions for ship travel optimization. By leveraging the latest NVIDIA AI technologies, ships can ride or avoid waves, optimize routes, enhance safety, and save energy and fuel.
Amphitrite’s AI models are finely tuned to handle vast amounts of ocean data sourced from NASA, the European Space Agency, and the SWOT mission. By using computer vision and AI with real-time satellite data, Amphitrite offers more reliable oceanic current and weather modeling compared to traditional methods. The startup’s collaboration with NVIDIA Inception has enabled technical support, free cloud credits, and access to cutting-edge simulation technologies like Earth-2 and FourCastNet, benefiting enterprises and organizations worldwide in optimizing operations and sustainability efforts.
