AI That Understands Physics. Not Your IP.
Quilter trains on physics. Our models are built entirely from synthetic data generated by simulation, not your design files, not scraped boards, and never your IP.
Quilter uses reinforcement learning to actively explore layout strategies, learning from the results of thousands of generated candidate boards. It balances tradeoffs and improves placement and routing strategies over time. Quilter is never trained on human-designed boards, thereby eliminating bias, protecting your IP, and ensuring that every design is both secure and original.
Quilter trains on physics. Our models are built entirely from synthetic data generated by simulation, not your design files, not scraped boards, and never your IP.
Quilter generates dozens or hundreds of layout candidates per job. Then it ranks them against physics and fabrication rules, raising the best design to the top. Filter by layer count, trace width, vendor rules, and more to find the candidate that best fits your strategy.
We use AI because it’s the right tool for the job, not because it’s fashionable. PCB layout is a tough, persistent bottleneck in hardware engineering. Reinforcement learning offers a real path to solving it.Our team combines deep expertise in AI, from reinforcement learning and machine learning to neural networks, with years of hands-on experience in electrical engineering. We’ve lived the same problems you have, and we’re here to fix them.
Schedule a consultation and see how physics-driven automation removes layout from your critical path.