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SiMa.ai and Synopsys: A Transformative Collaboration in Automotive AI

In a groundbreaking announcement, SiMa.ai is set to redefine the automotive industry through its first integrated capability developed in partnership with Synopsys. This collaboration promises to accelerate the development of innovative artificial intelligence (AI) solutions for next-generation automotive systems on chips (SoCs). The aim is to support various advanced automotive applications, particularly in the fields of Advanced Driver Assistance Systems (ADAS) and In-Vehicle Infotainment (IVI).

Bridging Innovation and AI Development

The partnership addresses the urgent need for rapid advancements in software-defined vehicles, which are becoming increasingly complex due to the demands for higher autonomy and enhanced digital experiences within vehicles. By leveraging machine-learning optimization, SiMa.ai’s and Synopsys’s joint solution offers a strategic approach that significantly reduces both development costs and time-to-market for automotive manufacturers, while enhancing software quality and minimizing risks.

As highlighted by Krishna Rangasayee, President and CEO of SiMa.ai, the collaboration brings together the company’s leading machine-learning platform with Synopsys' state-of-the-art automotive-grade intellectual property (IP) and design automation tools. This solid foundation fosters innovation and accelerates development across various Original Equipment Manufacturers (OEMs) in the field of autonomous driving and in-cabin technology, ultimately enhancing user experiences.

Comprehensive Blueprint for Automotive AI

The integrated capability introduced serves as a blueprint, enabling automotive companies to initiate the design and validation of custom AI SoCs. This strategic framework emphasizes a 'shift left' approach, facilitating software development across various phases prior to the silicon being available. This is expected to bring about several key advantages:

1. Cost Efficiency: Reducing costs associated with development by enabling early-stage validation and architecture exploration.
2. Quality Improvement: Enhancing the quality of software through better pre-silicon testing methods.
3. Accelerated Production: Decreasing the time from conception to production, making it easier for automotive innovations to reach the market swiftly.

Such bold advancements are critical, especially as vehicle manufacturers aim to deliver AI-enabled vehicles faster than ever to remain competitive in this rapidly evolving market. Ravi Subramanian, the Chief Product Management Officer at Synopsys, further emphasizes the importance of this collaboration by stating that the newly provided tools will serve as significant accelerators for automotive customers aiming to integrate next-generation features for ADAS and IVI into their vehicles.

A Suite of Integrated Tools for Enhanced Development

The blueprint encompasses a variety of tools designed to assist customers throughout their entire journey of automotive AI development:

• - SiMa.ai MLA Performance and Power Estimator: This tool allows users to tailor their machine learning accelerator designs according to specific workloads, enabling swift iterations over various configurations to determine optimal settings.
• - Synopsys Platform Architect: A trusted modeling tool that facilitates system-level analyses of performance, power consumption, and memory trade-offs before the register-transfer level (RTL) stage, ensuring informed decisions early in the design process.
• - Virtualizer Development Kit (VDK): A pre-silicon software development kit that aids in quickly initiating software development using virtual prototypes before hardware availability, expediting system bring-up.
• - Palette SDK: This simplifies the deployment of complex edge AI applications, enabling seamless integration without compromising on performance metrics or user-friendliness.
• - ZeBu® Emulation: An essential tool for validating hardware and software performance prior to silicon availability, confirming that architectural designs meet anticipated workload demands effectively.

Showcasing at CES 2026

The newly developed integrated capability, along with the supporting tool workflow, is currently being rolled out for early customer engagement. Interested parties are encouraged to witness a demonstration of this innovative solution at CES 2026, where SiMa.ai and Synopsys will be showcasing their collaborative successes. For a chance to participate, individuals can visit the Synopsys event page to request a meeting.

Conclusion

SiMa.ai continues to position itself as a trailblazer in the realm of Physical AI. With its tailored, software-centric platform, the company aims to pave the way for transformative advancements across sectors such as automotive, healthcare, and robotics. As the automotive industry shifts towards a more digitally integrated future, the contributions from partnerships like these will be pivotal in shaping how vehicles evolve to meet the needs of modern consumers.