Brightband is making AI weather forecasting tools available to all, to help humanity adapt to increasingly extreme weather.
Our mission
Responsibly providing advanced Earth System AI to improve weather and climate-related decisions for the long-term benefit of humanity and the Earth
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We are building an end-to-end AI Earth System for probabilistic forecasting.
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We will open source benchmark datasets, models, and metrics to establish a common task for global weather forecasting. We hope this will encourage the community to improve the state of the art.
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We will provide tools to academia, government, and companies for AI weather and climate forecasting.
Team
Meet the team behind Brightband, a group of passionate individuals working to make weather and climate predictable for all.
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Lead AI and Meteorology Strategist - Advisor
Thought leader and leading researcher in applying AI techniques to real-world weather applications, particularly high-impact weather. Lloyd G. and Joyce Austin Presidential Professor in the School of Computer Science and School of Meteorology, University of Oklahoma, Director and PI of AI2ES Institute - NSF AI Institute for Research on Trustworthy AI in Weather, Climate, and Coastal Oceanography.
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Shambavi (Sham) Krishnamurthi
Product Manager
Seasoned product builder with over a decade of experience spearheading product development at Google and Fortune 500 clients of McKinsey & Company.