Cadence has launched the AuraStack AI Super Agent, an agentic AI platform built specifically for printed circuit board (PCB) and advanced packaging development. Available through Cadence Allegro AI Studio, the platform aims to cut time-to-market in half and boost engineering productivity by up to 15 times by automating design exploration, implementation, and multiphysics analysis.
The platform coordinates specialized AI agents that handle planning, physical design, and sign-off within a single AI-native environment. It extends Cadence's existing portfolio of AI-driven design tools, which already includes ChipStack, InnoStack, and ViraStack AI Super Agents, giving the company agentic AI coverage across the full electronic system design workflow-from semiconductor design to PCB and packaging.
"The next era of AI infrastructure, spanning data centres, automotive, aerospace and physical AI, will be defined not only by silicon, but by the systems that connect, power and cool it," said Michael Jackson, Corporate Vice President of Research and Development for System Design and Analysis at Cadence. "As hyperscale data centres deploy massive AI clusters and other industries advance increasingly intelligent, high-performance systems, engineering teams face growing complexity in PCB and advanced package design. Agentic AI orchestration, combined with trusted EDA and SDA tools, enables customers to move from manual iteration to intelligent, automated design realisation."
Focus on automation and multiphysics design
Built on the same architecture as the ChipStack AI Super Agent, AuraStack uses a digital model of design intent to automate exploration, implementation, and sign-off. It brings together system planning, constraint management, IP creation and reuse, place-and-route, design-for-manufacturability, and multiphysics analysis. The platform's agentic AI coordinates these tasks, a practical example of AI Agents & Automation in electronic design.
A unified multiphysics framework models electrical, thermal, and mechanical performance simultaneously. Engineers can run signal and power integrity analysis, thermal modelling, mechanical stress assessment, and vibration, drop, and fatigue testing inside a single environment. Continuous multiphysics feedback supports real-time design convergence and helps catch issues before they surface late in the development cycle.
Claimed benefits
Cadence says the platform can accelerate product development by automating complex engineering tasks and expanding design exploration. The company cites several specific gains:
- Double time-to-market performance and up to 15x greater productivity
- Earlier multiphysics co-optimization to reduce costly redesigns
- Improved team collaboration through a shared design environment
- Identification of potential system issues earlier in the process
The platform integrates Cadence analysis and sign-off tools including Celsius Thermal Solver, Clarity 3D Solver, MSC Nastran, Marc finite element analysis tools, and the Sigrity X Platform.
Industry collaborations
Cadence is working with partners to deploy AuraStack workflows for real-world PCB and advanced packaging projects. NVIDIA is using Cadence technologies to automate and optimize increasingly complex system design processes for its engineering teams. The company is also collaborating with TSMC to support customers developing advanced packaging solutions, using AI-driven automation to speed implementation and achieve design convergence for multi-die systems.
Why this matters for product development
For product development teams, the shift toward agentic AI in PCB and packaging design means less time spent on iterative manual tasks and more room for exploring design alternatives. The platform's closed-loop multiphysics feedback can surface electrical, thermal, and mechanical trade-offs early, reducing the risk of late-stage respins. As system complexity grows, tools that compress the design-to-manufacturing cycle while maintaining sign-off accuracy will directly affect how quickly hardware products reach the market-a core concern in AI for Product Development.
Your membership also unlocks:
