SiMa.ai Announces First Integrated Capability with Synopsys to Accelerate Automotive Physical AI Development

San Jose, California – January 6, 2026 – SiMa.ai today announced the first integrated
capability resulting from its strategic collaboration with Synopsys. The joint solution provides a
blueprint to accelerate architecture exploration and early virtual software development for AI-
ready, next-generation automotive SoCs that support applications such as Advanced Driver
Assistance Systems (ADAS) and In-vehicle-Infotainment (IVI).

As previously announced, SiMa.ai and Synopsys are collaborating to deliver machine-learning
optimized, workload-verified, power-efficient SoC architectures required for software-defined
vehicles with increasing levels of autonomy and more intelligent in-cabin experiences. Resulting
from this strategic collaboration, the blueprint announced today enables customers to
confidently jumpstart the design and validation of custom automotive AI SoCs, as well as “shift
left” software development pre-silicon, helping reduce development costs, improve software
quality, derisk start of production, and accelerate vehicle time-to-market.

“We are pleased with how well the two teams have worked together to quickly create a joint
solution uniquely focused on unlocking physical AI capabilities for today’s software defined
vehicles.” said Krishna Rangasayee, President & CEO at SiMa.ai. “Our best-in-class ML
platform, combined with Synopsys industry-leading automotive-grade IP and design automation
software creates a powerful foundation for innovation across OEMs in autonomous driving and
in-vehicle experiences.”

“Automotive OEMs need to deliver software-defined AI-enabled vehicles faster to market to
drive differentiation, which requires early power optimization and validation of the compute
platform to reduce total cost of development and time to SOP,” said Ravi Subramanian, Chief
Product Management Officer at Synopsys. “Our collaboration with SiMa.ai delivering an ML-
enabled architecture exploration and software development blueprint supported by a
comprehensive integrated suite of tools significantly jumpstarts these activities and enables our
automotive customers to bring next-generation ADAS and IVI features to market faster.”

The new blueprint provides pre-integrated SoC virtual prototypes, as well as an integrated tool
workflow, leveraging leading SiMa.ai and Synopsys solutions, including:

From early architectural exploration:

• Using the SiMa.ai MLA Performance and Power Estimator™ (MPPE) tool enables
  automotive customers to right-size their ML accelerator design for their workloads.
  Customers can iterate on a wide variety of accelerator configurations quickly to identify
  the optimal option.
• Synopsys Platform Architect™ is trusted by automotive companies to model automotive
  workloads and analyze performance, power, memory, and interconnect trade-offs at the system level before RTL, enabling informed architecture decisions early in the design
  cycle.

To early verification and validation:

• With Synopsys’ Virtualizer™ Development Kit (VDK), customers can begin software
  development using a virtual SoC prototype before silicon is available, enabling full
  system bring-up within days of silicon availability and accelerating vehicle time to market
  by up to 12 months.
• SiMa.ai Palette SDK simplifies deployment of complex edge AI applications, supporting
  any ML workflow without compromising performance or ease of use—providing a
  complete ML stack for automotive edge solutions.
• Synopsys ZeBu® emulation delivers comprehensive pre-silicon hardware/software
  performance and power validation to ensure a system architecture meets the needs of
  expected workloads.

The new joint blueprint, including supporting tool workflow, is available for early customer
engagement. Join SiMa.ai and Synopsys at CES 2026 for a demonstration of the new solution.
To request a meeting, visit: https://www.synopsys.com/events/ces.html.

About SiMa.ai

SiMa.ai is a leader in Physical AI, delivering a purpose-built, software-centric platform that
brings best-in-class performance, power efficiency, and ease of use to Physical AI applications.
Focused on scaling Physical AI across robotics, automotive, industrial automation, aerospace &
defense, smart vision, and healthcare, SiMa.ai is led by seasoned technologists and backed by
top-tier investors. Headquartered in San Jose, California. Learn more at www.sima.ai.

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