The smart, fast, easy way to design PCBs

Yes. Automation is possible thanks to Reinforcement Learning (RL), a subfield of Machine Learning (ML). RL is particularly suited for decision-making problems: board games such as Chess or Go, or industrial optimisation problems such as logistics, mobility, or PCB routing. At InstaDeep, the company behind DeepPCB, we are innovators in RL and deploy novel systems in the real world.

InstaDeep, one of the top 100 AI companies in the world, has built credibility by innovating in AI research, specifically on how to quickly find good solutions to NP-Hard combinatorial optimisation problems. InstaDeep has a track record of publishing cutting-edge AI research in that specific domain at top AI conferences such as NeurIPS, ICML, and ICLR (See our papers). InstaDeep also has expertise in productizing AI research. DeepPCB is a prime example of our disruptive innovation.

InstaDeep will never share or sell any of your data or intellectual property to any outside entity. Our sole goal is to accelerate your PCB product development cycle.

This is exactly the problem that DeepPCB is addressing. Current autorouters often do not get the job done because real-life design constraints are too difficult for the usual approaches used by the current software tools. Hence, optimisation solvers cannot find solutions that satisfy all constraints in a reasonable time. DeepPCB leverages past experience through learning, unlike classic solvers that need to start from scratch for each new instance.