
DeepSim is a company that provides an AI-driven multi-scale physics simulation platform designed to accelerate engineering productivity by delivering rapid design insights with unmatched scalability. Their technology automates complex simulation setup, allowing engineers to focus on impactful design decisions. Utilizing a custom GPU-accelerated simulation pipeline, DeepSim enables simulations 1000 times larger than current tools, covering nano-to-macro scale resolution. The company is based in Mountain View, CA, and led by a team of Stanford PhDs in Electrical Engineering, positioning itself as a cutting-edge solution in physics simulation for engineering design.

DeepSim is a company that provides an AI-driven multi-scale physics simulation platform designed to accelerate engineering productivity by delivering rapid design insights with unmatched scalability. Their technology automates complex simulation setup, allowing engineers to focus on impactful design decisions. Utilizing a custom GPU-accelerated simulation pipeline, DeepSim enables simulations 1000 times larger than current tools, covering nano-to-macro scale resolution. The company is based in Mountain View, CA, and led by a team of Stanford PhDs in Electrical Engineering, positioning itself as a cutting-edge solution in physics simulation for engineering design.
Headquarters: Mountain View, California
Product: GPU-accelerated, AI-driven multi-scale physics simulation platform for engineering and chip design
Founders / Leadership: Connor McClellan (CEO), Alexander (Alex) Gabourie (CTO), Cagil (Chuck) Koroglu
Founded: 2020
Funding stage: Pre-Seed
Engineering simulation and electronic design automation (EDA) for chip design and physics-driven engineering workflows.
2020
Consumer Products
756000 USD
Public profiles list investors including Y Combinator, Unpopular Ventures, National Science Foundation, Saturnin Pugnet
“Y Combinator; additional investors reported include Unpopular Ventures and the National Science Foundation”
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