Quilter

Quilter is the first physics-driven AI system designed to eliminate the critical layout bottleneck that slows down modern electronics development. Leveraging reinforcement learning trained on natural laws—rather than human approximations—Quilter autonomously handles complete PCB placement, routing, and rigorous physics verification. This empowers electrical engineers and PCB designers to accelerate their design cycles from weeks to hours, enabling true Hardware-Rich Development and competitive speed.

Key Features

Quilter transforms the PCB design process by providing speed, abundance, and physics-based confidence.

• ⚛️ Autonomous Physics-First Generation: Quilter is trained on first principles physics (e.g., Maxwell’s equations, thermal dynamics) and manufacturing constraints, not existing human layouts or shortcuts. This methodology generates designs that are "correct by construction," eliminating human errors and ensuring critical considerations like impedance control and bypass capacitor placement are addressed proactively.
• 🚀 Parallel Design Exploration: Instead of sequential, compromise-driven design, Quilter generates dozens of complete layout options simultaneously in hours. This parallel exploration allows teams to evaluate 10x to 100x more design variants, stack-ups, and form factors based on measured performance evidence, rather than estimates or assumptions.
• ✅ Continuous Constraint Verification: Physics checks are integrated directly into the generation process. Critical constraints—such as DDR length matching, differential pairs, and thermal clearances—are enforced during design, not merely flagged after the fact. This ensures the design adheres to the full list of physical constraints provided upfront.
• 🔗 Seamless CAD Workflow Integration: Quilter is built to integrate directly into your existing ecosystem. You can upload projects in standard formats like Altium, Cadence, Siemens, or KiCAD. After layout and review, Quilter returns files in the original format, allowing you to run final DRC checks, polish the design, and generate fabrication files using the CAD tools you already trust.
• 👁️ Transparent Design Review: You maintain control over the constraints, board outline, and floorplan. Quilter provides clear, actionable feedback, showing exactly which design aspects are fully compliant and which require further review, ensuring you see precisely what the AI accounted for.

Use Cases

Quilter is engineered for organizations where speed and reliability are mission-critical, helping teams shift their focus from manual routing to high-value system integration.

1. Accelerating Silicon Validation and Test Cycles (Semiconductor): Teams frequently face layout bottlenecks when designing validation and test hardware, risking tape-out deadlines. By delivering deterministic, fully routed layouts in hours, Quilter ensures your test hardware is ready immediately, significantly accelerating silicon test cycles and time-to-market.
2. Achieving Compliance in Mission-Critical Systems (Aerospace & Defense): For programs requiring strict adherence to standards like MIL-STD and ITAR, Quilter cuts 4–6 weeks off mission-critical board bring-up. The physics-driven approach ensures layouts meet stringent compliance requirements while enabling secure, in-house rapid iteration without compromising quality.
3. Increasing Engineering Bandwidth for Complex Tasks: Electrical Engineers and PCB Designers are often bogged down by routine layout tasks. By autonomously completing standard boards, Quilter frees up valuable expertise, allowing top talent to focus on complex system integration, advanced signal integrity challenges, and the high-value design decisions that define product breakthroughs.

Quilter represents a fundamental shift in hardware design, moving beyond traditional automation tools to deliver designs that are inherently more robust and faster to produce.

• Correct by Construction: Traditional autorouters and co-pilots often mimic human layout patterns, inheriting human mistakes and design compromises. Quilter’s reinforcement learning approach, trained solely on the laws of physics and manufacturing limits, discovers novel solutions that are guaranteed to be correct against physical constraints.
• Eliminating the Layout Bottleneck: Hardware teams can now move at the speed of software. By reducing layout time from months to minutes, Quilter eliminates the single biggest barrier to hardware iteration. This allows R&D managers to keep programs on track and advance learning speed by exploring design options that were previously too time-consuming to consider.
• Hardware-Rich Development Paradigm: Quilter makes board iteration abundant. Instead of waiting weeks for a single prototype, teams can generate multiple, fully validated board candidates in hours. This acceleration allows organizations to build and learn in real-time, moving risk and cost earlier in the development cycle.

Conclusion

The layout bottleneck is over. Quilter provides the first physics-driven AI agent capable of delivering complete, validated PCB layouts autonomously. By replacing manual approximation with rigorous computation, you gain unparalleled speed, design confidence, and the ability to iterate daily, not quarterly.