About this organization

Organization Information : Founded in 2024, Silurian is building foundation models for simulating Earth, starting with weather. Silurian is building foundation models for simulating Earth, starting with weather. From assessing the risk of wildfires to predicting energy generation and demand, we provide an infrastructure layer for our planet. Our frontier models push the boundaries of what can be simulated on Earth and improve decision-making across vital sectors like energy, insurance, agriculture, and logistics. Our previous work on large-scale weather simulations has been featured in Nature, Bloomberg, and The Wall Street Journal. Silurian AI is a tech startup building AI-powered simulation models of the Earth, starting with weather forecasting, to improve decision-making across various sectors. They leverage "foundation models," similar to those used in chatbots and image generators, to create more accurate and efficient weather predictions, especially for extreme events. Silurian's goal is to provide an "infrastructure layer" for the planet, enabling better simulations and predictions for areas like energy, insurance, agriculture, and logistics.

Other Information: Founded in 2024, Silurian AI by former Microsoft and Google DeepMind researchers Cristian Bodnar, Jayesh K. Gupta, and Nikhil Shankar, develops AI-driven foundation models to simulate Earth's systems, starting with weather forecasting. Their flagship product, the Generative Forecasting Transformer (GFT), offers 14-day global weather predictions at approximately 11 km resolution, outperforming traditional models like NOAA and ECMWF by up to 30% across various metrics. Silurian's technology supports sectors such as energy, agriculture, insurance, and logistics by enhancing decision-making and risk assessment. The company is headquartered in Kirkland, Washington, and has received seed funding from Y Combinator.