San Jose, CA – August 2, 2025 – SiMa.ai, a Silicon Valley-based pioneer in Physical AI, has announced a fresh funding round of $85 million, bringing its total capital raised to $355 million. The round was led by Maverick Capital, with participation from existing backers and new investor StepStone Group.
With this significant capital infusion, SiMa.ai aims to scale its Physical AI platform globally, focusing on software innovation, customer success, go-to-market expansion, and strengthening its automotive industry roadmap.
Revolutionizing Edge AI with Purpose-Built Technology
Under the leadership of Founder and CEO Krishna Rangasayee, SiMa.ai is transforming the landscape of edge computing and AI deployment with its flagship product—SiMa.ai ONE. This power-efficient, integrated platform combines custom-built silicon with a software-first approach, simplifying AI adoption for real-world physical systems.
The platform includes:
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Modalix: The company’s second-generation multimodal MLSoC, now in commercial shipment.
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Palette: A comprehensive software suite offering a traditional SDK and Edgematic, a no-code visual development tool that lowers barriers to entry.
SiMa.ai ONE is designed to support a wide range of machine learning frameworks, including computer vision, transformers, and generative AI, delivering high performance on a unified, scalable architecture.
Targeting High-Growth Sectors in AI
The company serves a broad range of sectors such as:
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Robotics
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Automotive
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Industrial Automation
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Aerospace & Defense
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Smart Vision
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Healthcare
Its solutions empower enterprises to deploy high-performance AI at the edge with lower power consumption, faster integration times, and greater ease of use.
“This funding allows us to push the boundaries of what’s possible with Physical AI,” said Krishna Rangasayee, CEO of SiMa.ai. “Our vision is to enable efficient, scalable, and real-world AI adoption across critical sectors that rely on edge intelligence.”
Expanding Global Reach and Automotive Strategy
With growing demand for energy-efficient, real-time AI applications, SiMa.ai’s expansion efforts will focus on:
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Broadening its global customer base
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Advancing its automotive AI roadmap
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Scaling operational capabilities in engineering and customer success
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Investing further in its software ecosystem
As AI adoption accelerates in embedded systems, SiMa.ai is well-positioned to lead the market with its Physical AI approach—bridging the gap between cloud-native ML solutions and the compute demands of edge environments.