TLDR: At the 2025 Design Automation Conference (DAC), Siemens Digital Industries Software introduced a groundbreaking AI-enhanced Electronic Design Automation (EDA) toolset. This new system integrates generative and agentic AI capabilities across its portfolio, aiming to significantly boost productivity, accelerate time-to-market, and enable secure, customizable workflows for semiconductor and printed circuit board (PCB) design. The initiative underscores Siemens’ strategic investment in industrial-grade AI to transform chip development.
San Francisco, CA – Siemens Digital Industries Software made a significant announcement at the 2025 Design Automation Conference (DAC), unveiling its cutting-edge AI-enhanced Electronic Design Automation (EDA) toolset. This strategic move is set to revolutionize semiconductor and printed circuit board (PCB) design by seamlessly integrating advanced generative and agentic AI capabilities throughout the entire EDA workflow.
The cornerstone of this innovation is the new, purpose-built EDA AI system. Designed for the unique complexities of semiconductor and PCB design environments, this system delivers secure, advanced AI functionalities, offering unparalleled customization and seamless integration. It empowers engineers to leverage their proprietary EDA data, enabling the creation of custom workflows that deploy AI precisely where it adds the most value, without disrupting existing processes.
Mike Ellow, CEO of Siemens EDA, Siemens Digital Industries Software, emphasized the company’s commitment, stating, “We are strategically investing in developing sophisticated industrial-grade AI solutions purpose-built for the unique complexities of EDA. This accumulated expertise forms the technological foundation that empowers our customers to bring breakthrough semiconductor and PCB designs to market faster than ever before.” He added that Siemens is poised to “revolutionize the way design teams operate, ushering in a future where generative and agentic AI capabilities are seamlessly integrated into every aspect of the EDA workflow.”
The new EDA AI System prioritizes openness, security, and customizability. It supports flexible deployment options, including on-premises or cloud environments, ensuring enterprise-grade security and customizable access control to keep sensitive design data within customers’ secure data centers. A centralized multimodal data lake underpins the system, supporting a diverse range of AI models, including large and small language models, machine learning, and reinforcement learning, to continuously improve productivity.
Further enhancing its capabilities, Siemens’ EDA AI system incorporates NVIDIA NIM microservices and NVIDIA Llama Nemotron models. This collaboration facilitates the scalable deployment of inference-ready models, supporting real-time tool orchestration and multi-agent systems, and enabling high-context reasoning and robust tool-calling for more intelligent automation across system-on-a-chip (SoC), chip design, and PCB systems design and verification.
Among the specific tools highlighted is Aprisa™ AI software, a fully integrated technology within the Aprisa digital implementation solution. Aprisa AI introduces next-generation AI features and methodologies across RTL-to-GDS, including AI design exploration that adaptively optimizes for power, performance, and area (PPA) for a given design. It also features integrated generative AI-assist, delivering ready-to-run examples and solutions, promising up to 10x productivity gains and 3x faster tapeout times.
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Amit Gupta, Vice President and General Manager of the Custom IC Division and Siemens EDA AI at Siemens EDA, noted that the new EDA AI System acts as a front end to existing AI-enabled tools across Siemens’ portfolio, emphasizing its open philosophy. He explained that the system is designed to sit as a platform within an organization, serving as a central hub for generative and agentic AI, allowing customers to integrate their own design data and combine internal, third-party, and Siemens agents. This comprehensive approach aims to accelerate time to market and enable customers to explore innovation opportunities at the rapidly increasing pace demanded by the market.
