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.
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Blog
Product updates, engineering insights, and company news from the Quilter team.
Workbench
A behind-the-scenes microblog about our hardware projects and the AI that designs them.
Hardware-Rich Development
How physics‑first AI enables faster, more iterative hardware programs.
Documentation
An overview of the features and functionality that Quilter offers to help you generate, explore, and optimize fabrication-ready circuit boards in hours instead of weeks.
Changelog
Quilter is improving with every release. This page tracks what's new, what changed, and what we're working on next.
Community
Ask questions, share projects, and get help with real boards — from other users and our team.
Quilter uses reinforcement learning to actively explore thousands of generated candidate boards. Quilter is never trained on human-designed boards, 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.
01
Neural networks trained on physics, not imitating human designs
02
Every job is processed in isolation and deleted on completion.
03
No shared training data, no cross-contamination.

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.
Routing Completion
Percentage of pins successfully routedManufacturability
DRC violations (none allowed), trace/space/drill compliancePhysics Rule Checks (PRCs)
Ground plane overlap, overheated trace length, differential length mismatch, trace width accuracy, and thermal/signal performanceFabrication Fit
Compatibility with real fabricator stackups and constraintsResource Efficiency
Layer count, via count, trace length, and component densityQuilter erzeugt Dutzende oder Hunderte von Layout-Kandidaten pro Auftrag. Anschließend werden sie anhand von Physik- und Fertigungsregeln eingestuft, sodass das beste Design an die Spitze rückt. Filtern Sie nach Lagenzahl, Leiterbahnbreite, Herstellerregeln und mehr, um den Kandidaten zu finden, der am besten zu Ihrer Strategie passt.
Routing-Abschluss
Prozentsatz der erfolgreich gerouteten PinsFertigbarkeit
DRC-Verletzungen (keine erlaubt), Einhaltung von Leiterbahn-/Abstands-/BohrvorgabenPhysik-Regelprüfungen (PRCs)
Überlappung der Masseflache, überhitzte Leiterbahnlänge, differentielle Längenabweichung, Genauigkeit der Leiterbahnbreite sowie thermisches/SignalverhaltenFertigungskompatibilität
Kompatibilität mit realen Fertigungs-Lagenaufbauten und -RandbedingungenRessourceneffizienz
Lagenzahl, Via-Anzahl, Leiterbahnlänge und KomponentendichteQuilterはジョブごとに数十から数百のレイアウト候補を生成し、物理法則と製造ルールに基づいてランキングし、最適な設計をトップに浮上させます。レイヤー数、配線幅、製造先のルールなどでフィルタリングし、戦略に最も合う候補を見つけてください。
配線完了率
正常に配線されたピンの割合製造性
DRC違反(ゼロ必須)、配線/間隔/ドリルのコンプライアンス物理ルールチェック(PRC)
グランドプレーンの重なり、過熱配線長、差動配線長の不一致、配線幅精度、熱・信号性能製造適合性
実際の製造業者のスタックアップと制約条件との互換性リソース効率
レイヤー数、ビア数、配線長、部品密度Quilter candidate reviewer showing a 100% routed board with no DRC violations
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.
