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United Kingdom · AI · Enterprise software
Zenithon builds physics-grounded machine-learning models that help engineering teams simulate and optimize complex systems in fusion, aerospace and semiconductor development.
Zenithon develops machine-learning models grounded in physical systems to accelerate simulation and optimization. Engineers use its world models to explore how design choices affect difficult problems in fusion, aerospace and semiconductor development, where conventional numerical simulations can make each iteration expensive and slow. The company says its models can search a million design points in the time previously needed for one simulation.
The product is aimed at teams developing fusion systems, semiconductor processes and advanced aerospace hardware. Rather than replacing the physics problem with a general-purpose chatbot, Zenithon trains models around the behavior of specific engineering systems so teams can predict outcomes, compare parameters and focus conventional simulation or experiments on promising options. The company presents the platform as an optimization tool; its website directs prospective users to demonstrations and evaluation discussions.
| Announced | Round | Amount | Investors |
|---|---|---|---|
| Seed | $10M | Backed VC — LeadLunar Ventures — LeadMMC Ventures — LeadSeraphim Space — LeadSOSV — Lead |