Causal Labs develops physics-informed AI models that simulate atmospheric behavior to deliver faster, more accurate, hyper-local weather forecasts and to support weather-related decision-making and interventions. The company says its models produce actionable forecasts in minutes versus relying on expensive, slow supercomputers. Causal Labs is building toward a general, large-scale physics foundation model that understands cause-and-effect in physical domains and can be applied beyond weather. Targeted future domains include aviation, agriculture, energy, space, climate change, and government. The company plans to use the seed funding to expand its team, further develop its initial model with safety and transparency mechanisms, and run robust pilot programs across critical industries. Causal Labs is headquartered in San Francisco and was founded by Kelsie Zhao and Dar Mehta, who have backgrounds at Cruise, Google Research, Meta, and a YC-backed robotics startup and are Stanford and Waterloo graduates.

Total raised

$6M

Funding rounds

1

Latest round

Seed

Latest activity

Mar 2025