SiMa.ai and Synopsys have deepened their strategic partnership to accelerate AI innovation in the automotive industry. By combining SiMa.ai’s ultra-efficient machine learning system-on-chip (MLSoC) platform with Synopsys’ automotive IP and design tools, the collaboration delivers advanced chiplet architectures and system-on-chip (SoC) designs tailored for Advanced Driver Assistance Systems (ADAS) and In-Vehicle Infotainment (IVI).
SiMa.ai and Synopsys collaborate to enhance automotive AI solutions.
Focus on ultra-low power ML for ADAS and IVI applications.
Integrates SiMa.ai’s ML simulators with Synopsys’ design platforms.
Enables faster development of safety-critical automotive features.
Supports compliance with automotive-grade functional safety standards.
Reduces time-to-market with proven IP and reference designs.
The automotive industry is rapidly evolving toward intelligent, software-defined vehicles, demanding efficient and reliable AI processing. "Automotive AI presents exciting challenges and massive potential," said Krishna Rangasayee, CEO of SiMa.ai. "With Synopsys' ecosystem and proven design tools, we can fast-track our ML innovation into automotive platforms." This partnership leverages SiMa.ai’s energy-efficient MLSoC platform and Synopsys’ automotive-grade IP to address critical needs like low power consumption and real-time processing.
The collaboration tackles key automotive challenges, including ultra-low power consumption for electric and hybrid vehicles, real-time processing for safety-critical ADAS functions, and scalable designs for diverse performance requirements. "The automotive industry's transformation toward intelligent, software-defined vehicles requires unprecedented levels of AI processing efficiency and reliability," said Ravi Subramanian, Chief Product Management Officer at Synopsys. The partnership ensures cost-effective architectures and compliance with stringent automotive safety standards.
SiMa.ai’s ML simulators are integrated into Synopsys’ design platforms, including Platform Architect for architectural exploration, Virtualizer Development Kit for early software development, and ZeBu Emulation for pre-silicon validation with 95-97% accuracy. These tools enable automotive OEMs and Tier 1 suppliers to accelerate development, optimize ML workloads, and validate performance, significantly reducing development risks and time-to-market.
The partnership delivers tangible benefits for automotive customers, enabling faster development of ADAS features like object detection, lane keeping, automated parking, and collision avoidance. For IVI, it enhances AI-powered voice recognition, gesture control, and personalized user interfaces. By providing proven IP, reference designs, and Synopsys’ consulting services, the collaboration ensures automotive solutions meet reliability and safety standards while accelerating market deployment.
SiMa.ai and Synopsys are setting a new benchmark for automotive AI innovation. Their collaboration empowers OEMs and Tier 1 suppliers to deliver intelligent, efficient, and safe vehicle systems, driving the future of software-defined vehicles with scalable and reliable AI solutions.
SiMa.ai is pioneering ultra-efficient machine learning system-on-chip (MLSoC) platforms that deliver breakthrough performance-per-watt for edge AI applications. The company's innovative sparse neural network processing architecture and comprehensive software stack enable customers to deploy advanced AI capabilities across automotive, industrial, and consumer applications while meeting strict power, cost, and latency requirements.
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