Earth, Energy & Industrial Systems
Models that learn how large physical systems evolve and use that understanding to support better operational decisions.
- Companies
- 8
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Companies
- Archetype AI
Archetype AI builds a Physical AI foundation model and platform that turns real-world sensor data into understanding, predictions, and actions for physical environments.
- Causal Labs
Causal Labs is building a Large Physics foundation Model to learn cause-and-effect in physical systems, starting with weather prediction and control.
- Jua.ai AG
Jua builds a foundation model for the physical world, starting with weather and Earth-system simulation, to improve decision-making in energy and other climate-sensitive industries.
- kausable
kausable is a Heidelberg-based AI startup building causal, adaptive world models that reason from first principles and update without retraining; its flagship model, TipPFN, is positioned to…
- Noetive
Noetive builds AI systems for physical operations, using world models, agents, and sensing to help industrial businesses plan and adapt in real time.
- Parisi Labs
Parisi Labs builds world models for physical industry, starting with energy, to help operators understand current system conditions, evaluate possible futures, and choose better actions.
- Skyfall AI
Skyfall AI is building enterprise world models that help businesses simulate, plan, and act across complex operating systems.
- Zenithon
Zenithon builds physics grounded world models that speed up simulation and design for fusion, aerospace, and semiconductor systems.