Causal Labs, a San Francisco, CA-based company developing physics-based models to advance AI for weather prediction and control, raised $6M in Seed funding.
The round was led by Kindred Ventures with participation from Refactor, BoxGroup, Factorial, Otherwise, Karman Ventures, and a select group of angel investors.
The company intends to use the funds to expand its team, further develop its initial model, including safety and transparency mechanisms, and initiate pilot programs across critical industries.
Led by CEO Dar Mehta and Kelsie Zhao, Causal Labs is building AI for weather prediction and control by leveraging physics models to transform complex data into insights that inform decisions and enable industries such as agriculture, renewable energy, and aviation to adapt to dynamic and complex conditions.
The company uses AI physics models to simulate how the atmosphere will behave to create more accurate forecast predictions in minutes. More than just forecasting, the model redefines how weather-related decisions are made—whether through direct interventions in atmospheric conditions or operational responses to climate risks. The model will provide the tools needed to anticipate and respond to the increasing threats posed by climate change, including extreme weather events and natural disasters.
FinSMEs
13/03/2025