Quilter

Overview

Quilter is a physics-driven AI platform for electronics design, purpose-built to fully automate printed circuit board (PCB) layout. The platform takes a design from schematic to fabrication-ready board in hours, a task that traditionally takes weeks of manual work. It is delivered as a web-based application, meaning no installation is required, and it integrates natively with industry-standard EDA tools such as Altium, Cadence, and Siemens. By combining reinforcement learning with physics-aware design validation, Quilter represents a shift from traditional rule-based layout tools toward an autonomous, optimization-driven design methodology.

At the core of Quilter is a reinforcement-learning engine that treats PCB layout as a constrained optimization problem. Unlike conventional autorouters that follow static rules, Quilter’s AI evaluates physical design factors—including signal integrity, power integrity, thermal behavior, and manufacturing constraints—while generating layout candidates. The platform is capable of producing multiple fully routed board alternatives in a single run, giving engineers a set of diverse, high-quality design options to evaluate. This physics-aware approach helps ensure that generated layouts are not only electrically correct but also manufacturable, reducing the risk of late-stage design revisions.

Quilter is designed to fit directly into existing hardware development workflows. Users can import schematics from leading EDA environments, define their design objectives, and let the AI generate optimized layouts. The output is a complete board design that can be handed off to fabrication. This makes the platform valuable across a wide range of applications, from high-speed digital circuits and mixed-signal boards to power electronics. By compressing the layout cycle from weeks to hours, Quilter enables hardware teams to iterate more rapidly, explore more design alternatives, and bring products to market sooner.

For engineering teams, Quilter reduces the manual burden of placement and routing, allowing engineers to focus on higher-level system architecture and verification. For organizations, it offers a scalable way to increase design throughput without adding headcount. The platform also lowers the barrier of entry for teams with limited PCB layout expertise, making professional-grade board design more accessible. As electronics continue to increase in complexity, physics-driven AI layout automation provides a path toward faster, more reliable, and more efficient hardware development.

Core capabilities

Fully Automated PCB Layout Generation

AI-driven layout synthesis from schematic to a complete board design with minimal human intervention.

Physics-Aware Design Validation

Uses physical models to evaluate signal integrity, power integrity, thermal behavior, and manufacturability during layout generation.

Reinforcement-Learning Optimization

Employs reinforcement learning to explore and optimize the PCB layout search space, finding high-performance configurations.

Multiple Candidate Board Generation

Produces several diverse, fully routed board alternatives in a single run for engineers to compare and select.

Fabrication-Ready Output in Hours

Compresses the traditional weeks-long layout cycle into hours, delivering output ready for manufacturing.

Integration with Major EDA Tools

Seamlessly works with Altium, Cadence, and Siemens environments, fitting into existing hardware design flows.

Web-Based Platform

Runs entirely in the browser, eliminating installation overhead and enabling team collaboration across locations.

Use cases

Accelerating prototype PCB development with automated layout generation

Handling complex multi-layer and high-density interconnect board designs

Exploring multiple layout alternatives for design-space optimization

Reducing time-to-market for consumer electronics and IoT devices

Automating layout of power electronics and mixed-signal boards

Standardizing PCB layout workflows across distributed hardware teams