Silurian
Foundation models to simulate Earth, starting with weather.
What they do
Organizations lack accurate, scalable Earth and weather simulation tools to assess environmental risk and optimize operational decisions.
Silurian builds foundation models that simulate Earth systems starting with weather to deliver high-fidelity predictions and decision infrastructure.
Energy, insurance, agriculture, and logistics organizations and other enterprises needing weather and Earth-system forecasting for planning and risk management.
Founders
Jayesh is Co-founder and CEO of Silurian AI. Previously he was the Head of AI at Poly Corporation. He led the development of the first foundation model for weather & climate as researcher at Microsoft and was the co-author of Aurora. Jayesh holds a Ph.D. in CS from Stanford.
Chief Scientist of Silurian. I was previously a Senior Researcher at Microsoft Research where I co-lead the development of the Aurora foundation model. During my PhD at Cambridge, I've also spent time in top AI industry labs like Google Brain, Google X and Twitter Cortex.
Nikhil is a co-founder and chief engineer at Silurian AI. Previously he was a software engineer at AWS SageMaker and prior to that he dropped out of his PhD in applied mathematics where he was working on problems in fluid dynamics.
Open roles 1
Company timeline
- Founded2024
- YC batchSummer 2024
- StatusActive
- Team size6 people
- LocationKirkland, WA, USA
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