Paul Eremenko
P-1 AI is building engineering AGI for the physical world through Archie, an AI agent that automates cognitive tasks human engineers perform when designing complex physical systems. The company’s breakthrough approach combines multi-physics reasoning, spatial intelligence, and synthetic training datasets to create AI capable of engineering-level design work.
At the core of P-1 AI’s innovation is solving the training data scarcity problem in physical product domains. The company generates large, physics-based synthetic datasets that enable Archie to learn underlying physics and perform quantitative spatial reasoning tasks that mirror human engineering workflows — from distilling design requirements to developing product concepts and performing design trades.
Rather than replacing existing engineering tools, P-1 AI focuses on cognitive automation, giving teams an AI teammate that handles repetitive tasks while learning from real-world feedback. The platform will initially deploy in data center cooling systems before expanding to industrial systems, automotive, aerospace, and defence applications.
