SiMa.ai and Synopsys Forge Collaboration to Accelerate Automotive Edge AI

This collaboration offers OEMs a faster, more resilient path to deploy AI capabilities for ADAS and IVI

SiMa.ai and Synopsys Forge Collaboration to Accelerate Automotive Edge AI
(Image-Freepik)

SiMa.ai and Synopsys have expanded their strategic collaboration to offer automakers scalable AI solutions across vehicle platforms—from entry‑level to premium models—supporting both Advanced Driver Assistance Systems (ADAS) and In‑Vehicle Infotainment (IVI) use cases.

Recently, SiMa.ai also announced that it has raised $85 millionthe in an oversubscribed funding round, bringing its total capital to $355 million. The Series C round was led by Maverick Capital, with participation from existing backers and new investor StepStone Group.

The fresh capital will support SiMa.ai’s global expansion, fuel software innovation, scale go-to-market operations, and strengthen its roadmap in the automotive and edge AI sectors.

As OEMs pursue levels 2++ to fully autonomous (levels 4 and 5), demand is growing for AI-driven features like Automated Emergency Braking (AEB), Lane Keep Assist (LKA), Adaptive Cruise Control (ACC), Driver Monitoring Systems (DMS), and cockpit assistants powered by generative AI such as ChatGPT and DeepSeek.

To support this shift, the consortium combines Synopsys’ leading electronic design automation (EDA), automotive-grade IP, and verification platforms with SiMa.ai’s energy-efficient MLSoC IP and AI software stack. This integrated solution enables full hardware/software co‑design: architects can explore SoC/chiplet architectures, simulate workloads, and validate performance through tools like Platform Architect™, Virtualizer™ Development Kit (VDK), and ZeBu® emulation.

“The Sima‑Synopsys joint effort highlights how automakers can modernize their hardware/software co‑design processes to implement the in‑car experiences that are increasingly costly and complex to deliver,” Ravi Subramanian, Head of Synopsys Product Management and Markets Group, said.

This hardware-software synergy helps OEMs rapidly develop workload-optimised ML SoCs and chiplets that are scalable, cost-efficient, and compliant with automotive safety standards.

According to , “Architect and build your own chiplet or SoC for GenAI enabled infotainment and ADAS! Build what you want and exactly how you want it! A game changer for the automotive industry! Innovation from the physical AI leading solution from SiMa.ai and the industry’s best EDA and silicon and systems leader Synopsys," Krishna Rangasayee, CEO of SiMa.ai, said in a LinkedIn post.

This collaboration offers OEMs a faster, more resilient path to deploy AI capabilities for ADAS and IVI while adapting to evolving software-defined vehicle (SDV) architectures and shrinking development cycles.