Rapidus and Cadence partner on agentic AI for SoC design
Rapidus Corporation and Cadence have partnered to integrate the Cadence InnoStack AI Super Agent into the Rapidus AI-Agentic Design Solution (Raads). This collaboration aims to improve productivity, accelerate time to market, and enhance design quality for advanced-node system-on-chip (SoC) design, targeting up to a 2X improvement in design turnaround time. Rapidus also introduced Raads Navigator and Raads Indicator, integrated with Cadence's technology, to support quality assurance and design orchestration.

*this image is generated using AI for illustrative purposes only.
Rapidus Corporation and Cadence announced a collaboration to advance agentic AI for advanced-node system-on-chip (SoC) design by integrating the Cadence InnoStack AI Super Agent into the Rapidus AI-Agentic Design Solution (Raads). The joint effort combines Rapidus’ AI-native design and manufacturing ecosystem for advanced-node semiconductors with Cadence’s agentic AI design orchestration technology to help design teams improve productivity, accelerate time to market and enhance design quality across the SoC design lifecycle. As part of this collaboration, Rapidus is targeting up to a 2X improvement in design turnaround time (TAT) over traditional flows.
The buildout of AI infrastructure, and the coming wave of physical AI-powered systems, requires tight, system-level co-optimization across semiconductor design, manufacturing, packaging and systems. Agentic AI is critical for this next generation of advanced SoCs. As part of the announcement, Rapidus is extending its Raads lineup with the introduction of Raads Navigator and Raads Indicator to enhance quality assurance and support designers in resolving design issues and challenges. The new tools have been integrated with the Cadence InnoStack AI Super Agent to enable agentic design orchestration across key SoC workflows, automating and coordinating tasks from early architectural exploration through implementation and signoff.
By applying data-driven optimization across the design lifecycle, the integration is intended to help teams manage advanced-node complexity, improve design predictability and scale engineering productivity while driving toward Rapidus’ design TAT reduction goals. Cadence is also the only provider with agentic AI solutions spanning the full electronic system design flow, from digital and analog silicon design, advanced packaging, through to PCB design via its previously introduced AuraStack AI Super Agent.
Strategic Collaboration and Industry Impact
Rapidus and Cadence will discuss the collaboration at CadenceLIVE Japan 2026. Dr. Atsuyoshi Koike, representative director and CEO of Rapidus, is scheduled to deliver a keynote on how Rapidus is evolving Raads with Cadence Agentic AI and EDA to improve efficiency and quality in advanced-node SoC development.
"Advanced-node SoC design increasingly requires AI agents that can orchestrate complex workflows across the design lifecycle, not just optimize individual tasks," said Anirudh Devgan, president and CEO of Cadence. "By combining Cadence’s InnoStack AI Super Agent with Rapidus’ Raads platform, we are extending agentic AI into a leading-edge semiconductor ecosystem, enabling customers to improve productivity, accelerate design closure and bring more advanced silicon to market faster."
| Entity | Role | Focus Area |
|---|---|---|
| Rapidus | Partner | AI-native design and manufacturing ecosystem for advanced-node semiconductors |
| Cadence | Partner | Agentic AI design orchestration technology via InnoStack AI Super Agent |
| Raads Navigator & Indicator | New Tools | Quality assurance and design issue resolution within the Raads platform |
How will the integration of agentic AI into the design flow impact the skill sets required for future engineering teams?
What competitive advantages could this collaboration provide Rapidus against other foundries targeting the 2nm node and beyond?
Will the 2X improvement in design turnaround time influence the pricing models for advanced-node semiconductor manufacturing?































