Industry Collaborations with Synopsys AgentEngineer™ Solutions and Synopsys Autopilot™ Platform

Synopsys Editorial Staff

Sep 28, 2026 / 2 min read

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Introduction

The Synopsys Agentic AI portfolio has gained strong industry support. Included are quotes from Synopsys customers and partners. This commentary is available for public use and can be attributed to the executive included in each statement.

Alon Mahl, VP of Verification, AheadComputing

“As a fast-growing innovator developing next-generation processor architectures, we are continually looking for new ways to accelerate engineering execution and improve productivity across our design workflows. The Synopsys AgentEngineer technology extends AI beyond task assistance to help automate complex workflows and accelerate engineering execution. From RTL handoff through implementation, ECO, and signoff, the Synopsys Implementation AgentEngineer helped us reduce manual engineering effort and accelerate design convergence, enabling our engineering teams to focus more time on the differentiated aspects of our processor architecture.​”

Toshio Yoshida, Senior Vice President and Head of the Advanced Computing Development Unit, Fujitsu

"We achieved a 10–30% productivity boost in RTL code generation with Synopsys Verification AgentEngineer capabilities. This was driven by highly efficient generation of SystemVerilog assertions, wrapper modules, and parameterized modules, as well as code refactoring.”

Manoj Selva, Vice President, Product Enablement, Intel

“Advancing the productivity and efficiency of our verification teams is critical as design complexity continues to increase across next-generation computing platforms. Our work with Synopsys Verification AgentEngineer technology highlights the promise of agentic AI for debug, enabling engineers to accelerate issue resolution across verification environments. We believe these advancements can help reduce verification bottlenecks, improve engineering efficiency, and accelerate the delivery of our silicon innovations."

Ching San Wu, Vice President, MediaTek

"Our engineers have consistently pushed the boundaries of analog and mixed-signal design and are continuously looking for ways to dramatically enhance design and layout productivity. Building on the successful deployment of Synopsys SmartFloorplanning Technology, we are continuing our collaboration with Synopsys on the Agentic AI AMS Platform, driving the next frontier of autonomous analog engineering flows. We believe this transformative technology will fundamentally reshape how our teams create, optimize, and implement complex AMS designs.”​

Tim Costa, Vice President and General Manager of Industrial and Computational Engineering, NVIDIA

“Autonomous engineering requires AI agents that understand design intent, plan and execute complex workflows, and validate their results. Synopsys is combining its silicon-to-systems expertise with NVIDIA accelerated computing and NVIDIA Agent Toolkit, including NVIDIA Nemotron models and the NVIDIA OpenShell secure runtime, to build long-running agents that help engineers improve design quality and accelerate development.”

JY Choi, Executive Vice President and Head of Memory Design Technology, Samsung Electronics

"Breakthroughs in AI increasingly depend on breakthroughs in memory: the industry calls for higher bandwidth, greater efficiency, and faster innovation cycles. Synopsys agentic AI solutions are helping Samsung's engineering teams accelerate complex development workflows, allowing us to focus more effort on innovating the advanced memory technologies that power the next generation of AI infrastructure.”

Aveek Sarkar, Director of the Ecosystem and Alliance Management Division, TSMC

“As AI drives the shift to multi-die architectures with unprecedented power densities, increasingly complex power delivery networks demand new approaches for power integrity signoff. Through our enduring partnership with Open Innovation Platform® (OIP) ecosystem partners like Synopsys, we are successfully enabling agentic AI-based solutions to accelerate critical power integrity analysis workflows. As advanced packaging designs rapidly grow in scale and complexity, these AI-based solutions significantly boost engineering productivity and enable groundbreaking designs for next-generation AI systems.”

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