San Jose, CA - Aug 02, 2025 (UTC) - SiMa.ai, a San Jose, California-based machine learning company specializing in embedded edge solutions, announced on August 1, 2025, that it has raised $85 million in an oversubscribed funding round led by Maverick Capital. The round, which included participation from new investor StepStone Group and existing backers such as Amplify Partners, Dell Technologies Capital, and Fidelity Management, brings SiMa.ai’s total capital raised to $355 million. The funds will accelerate the company’s global expansion and scale its Physical AI platform, designed to power real-world applications in robotics, automotive, industrial automation, aerospace, defense, smart vision, and healthcare.
The $85 million funding round marks a significant milestone for SiMa.ai, reflecting strong investor confidence in its software-centric, purpose-built Machine Learning System-on-Chip (MLSoC) platform. Led by Maverick Capital, a Dallas-based investment firm, the round also saw contributions from StepStone Group, a new investor, and existing backers including Amplify Partners, Dell Technologies Capital, Fidelity Management, VentureTech Alliance, and Lip-Bu Tan. This follows previous rounds, including a $70 million Series B extension in April 2024, a $67 million Series B1 in 2022, and an $80 million Series B in 2021, underscoring SiMa.ai’s consistent ability to attract capital.
| Funding Round | Amount | Year | Lead Investors | Supporting Investors |
|---|---|---|---|---|
| Series A | $30M | 2020 | Amplify Partners | Dell Technologies Capital, Wing Venture Capital, +ND Capital |
| Series B | $80M | 2021 | Fidelity Management | Adage Capital Management, Amplify Partners, Dell Technologies Capital, Wing Venture Capital, +ND Capital |
| Series B1 | $67M | 2022 | MSD Partners | Fidelity Management, Amplify Partners, Dell Technologies Capital, Wing Venture Capital, +ND Capital, Lip-Bu Tan |
| Series B Extension | $70M | 2024 | Maverick Capital | Point72, Jericho, Amplify Partners, Dell Technologies Capital, Fidelity Management, Lip-Bu Tan |
| Latest Round | $85M | 2025 | Maverick Capital | StepStone Group, Amplify Partners, Dell Technologies Capital, Fidelity Management, others |
| Total Raised | $355M | – | – | – |
The funds will be allocated to:
- Global Expansion: Scaling operations in key markets like Korea, Japan, Europe, and the U.S., with a focus on building go-to-market teams and customer support.
- Software Innovation: Enhancing the Palette software suite, including the SDK and Edgematic no-code visual development tool, to simplify AI deployment.
- Automotive Roadmap: Strengthening SiMa.ai’s offerings for autonomous vehicles and advanced driver-assistance systems (ADAS).
- Customer Success: Expanding support for clients in robotics, healthcare, and industrial automation to meet growing demand.
About SiMa.ai’s Technology
SiMa.ai’s flagship SiMa.ai ONE platform integrates purpose-built silicon with a software-centric approach to deliver high-performance, low-power AI solutions at the embedded edge. The platform features:
- Modalix MLSoC: A second-generation multimodal Machine Learning System-on-Chip, now shipping, designed to process diverse AI workloads, including computer vision and generative AI, with a tenfold increase in performance and energy efficiency.
- Palette Software Suite: A comprehensive software package including an SDK and Edgematic, a no-code, drag-and-drop environment that enables users to visually create, build, and deploy ML solutions without coding expertise.
This full-stack solution supports any framework, network, model, sensor, or modality, making it versatile for applications like robots, drones, diagnostic machines, autonomous vehicles, and smart vision systems. SiMa.ai’s first-generation MLSoC, which entered mass production in 2023, set industry standards for power efficiency, outperforming competitors like NVIDIA in MLCommons’ MLPerf benchmarks for edge power efficiency.
Leadership and Expertise
Founded in 2018 by Krishna Rangasayee, a former Senior Vice President at Xilinx, SiMa.ai is led by a team of technology experts with deep experience in machine learning and semiconductor design. Rangasayee’s vision is to simplify edge AI deployment, enabling businesses to integrate machine learning into products quickly and efficiently. The company employs 160 people, with 65 at its R&D center in Bengaluru, India, and plans to expand its workforce to support growing demand.
Industry Impact and Challenges
SiMa.ai’s Physical AI platform addresses the growing need for AI systems that interact with the physical world through sensors, cameras, and other hardware. This market, encompassing robotics, automotive, and industrial automation, is projected to grow significantly, with Gartner estimating the AI chip market will more than double by 2027. SiMa.ai’s solutions enable smarter, more efficient devices, reducing power consumption and accelerating time-to-market.
However, SiMa.ai faces competition from companies like Graphcore, Hailo, and Black Sesame Technologies, which are also developing specialized AI chips for edge applications. Technical challenges, such as ensuring compatibility across diverse AI workloads and maintaining low power consumption, are significant. SiMa.ai mitigates these through its software-centric approach, strategic partnerships with companies like TRUMPF, and a robust R&D pipeline. The company’s focus on no-code tools like Edgematic also broadens its accessibility, addressing the skills gap in AI development.
Stakeholder Perspectives
Krishna Rangasayee, Founder and CEO of SiMa.ai, stated, “We’re scaling quickly to extend our competitive lead and meet global customer demand across robotics, automotive, industrial automation, aerospace and defense, smart vision, and healthcare.” Andrew Homan, Managing Partner at Maverick Capital, added, “SiMa.ai is redefining what’s possible at the edge by combining world-class silicon with a uniquely software-centric approach to Physical AI.” John Avirett, Partner at StepStone Group, noted, “SiMa.ai’s full-stack solution, technical depth, and growing customer adoption make it a clear leader in this space. We’re excited to join the company’s journey and support its mission to drive efficient, scalable AI across real-world edge applications.”
Future Outlook
With $355 million in total funding, SiMa.ai is well-positioned to lead the edge AI market. The company plans to expand its R&D capabilities, particularly in Bengaluru, and strengthen its presence in key markets. The ongoing success of its first-generation MLSoC and the launch of Modalix position SiMa.ai to meet the rising demand for edge AI solutions. Strategic partnerships, such as with TRUMPF for industrial applications, and a focus on automotive applications will further drive growth. SiMa.ai’s no-code Edgematic tool could democratize AI development, enabling broader adoption across industries.
Source : SiMai.ai
