GDSFactory+ provides an integrated Python-based software solution for programmatic chip layout generation and verification. It streamlines the design lifecycle for photonics, quantum, and analog circuits with support for over 25 PDKs and 20 EDA tools, enabling reproducible designs and efficient data management.
Funding
Funding not disclosed
Founders
Product
Problem
Traditional chip design workflows often involve fragmented tools and manual processes for layout, verification, and data management, leading to inefficiencies and potential errors. This complexity hinders the creation of reproducible designs, particularly for advanced technologies like photonics and quantum computing.
Solution
GDSFactory+ offers an integrated software solution that streamlines the entire chip design lifecycle, from initial layout generation to final validation and data analysis. Leveraging a unified Python-based framework, it enables programmatic creation of reproducible chip layouts for photonic, quantum, and analog applications. The platform integrates design, simulation, and verification tools, allowing users to define, render, and check designs within a single environment. Its data management extension provides a centralized repository for storing and analyzing simulation, layout, and measurement data, facilitating a more efficient and error-free design process.
Target Audience
The primary users are semiconductor design engineers, photonic integrated circuit (PIC) designers, and researchers in quantum computing and analog electronics who require a robust and programmatic approach to chip design and data management.
Features
- Unified Python API for programmatic chip layout generation and manipulation.
- Support for over 25 Process Design Kits (PDKs) and integration with over 20 EDA tools.
- In-editor rendering of layouts within VSCode, supporting design in Python, YAML, or GUI.
- Integrated Design Rule Checking (DRC), Layout Versus Schematic (LVS), and connectivity verification.
- Data Storage & Analysis extension for managing simulation, layout, and measurement data.
- Capabilities for generating and analyzing device, die, and wafer-level data.
- Support for multiple design paradigms including photonic integrated circuits (PICs), quantum circuits, and analog designs.
- Extensible framework allowing custom analysis and model integration.