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SiMa.ai

Category: AI Infrastructure

SiMa.ai provides a software-centric AI/ML platform, including purpose-built silicon (MLSoC) and a unified software environment (Palette), to enable effortless deployment and scaling of machine learning applications at the embedded edge. SiMa.ai was founded in 2018. The company is led by Krishna Rangasayee. Based in San Jose, California, USA. Team size: 201-500. Total funding raised: $355M. Latest round: Series C, $85.0M, 2025-08, led by Maverick Capital. Key investors include Maverick Capital, Point72, Jericho Capital, Amplify Partners, Dell Technologies Capital, BDT & MSD Partners, Fidelity Management & Research Company.

Founded
2018
Headquarters
San Jose, California, USA
Team size
201-500
Total funding
$355M

Value proposition

To make the deployment and scaling of ML at the embedded edge effortless, with a 'push-button' experience that accelerates time-to-market for customers.

Products and solutions

MLSoC (Machine Learning System on Chip): A purpose-built chip for machine learning at the edge., Palette Software: A unified software environment for developing and deploying ML applications., MLSoC DevKit: A development kit for prototyping and evaluating ML applications., Modalix: A new product family of MLSoCs for multimodal generative AI at the edge.

Unique value

SiMa.ai's uniqueness lies in its software-centric approach to a hardware problem, abstracting the complexity of its purpose-built MLSoC and allowing developers to focus on their ML models. This 'effortless ML' experience is a key differentiator.

Target customer

ML developers and companies in the embedded edge market looking to integrate AI/ML into their products without extensive hardware expertise.

Industries served

Automotive, Robotics, Drones, Smart Vision Systems, Healthcare, Industrial Automation

Technology advantage

The combination of a purpose-built, high-performance, low-power MLSoC with a unified and easy-to-use software platform (Palette) gives SiMa.ai a significant advantage in the edge AI market. This allows for rapid deployment and scaling of ML applications.

How they differentiate

SiMa.ai differentiates itself through its software-centric approach, providing a purpose-built Machine Learning System-on-Chip (MLSoC) platform that is designed to be effortless for developers to use. Their key differentiator is the combination of high performance and low power consumption for the embedded edge. They are also focusing on the growing demand for multimodal generative AI at the edge with their new Modalix platform.

Main competitors

Hailo, Graphcore, Ambarella

Key partnerships

Synopsys: Strategic collaboration to accelerate the development of automotive edge AI solutions., Macnica, Inc. TecStar Company: Distribution partnership to accelerate Physical AI adoption in Japan., AWS: Palette Edgematic is available on AWS Marketplace, scaling low-code development for ML at the edge., Key investors include Maverick Capital, Point72, Jericho, Amplify Partners, and Dell Technologies Capital.

Notable customers

SiMa.ai's customers are in the industrial, robotics, automotive, and computer vision sectors. While many customer names are not public, they have announced partnerships with leading companies in the autonomous mobile robot (AMR) and agricultural technology space.

Major milestones

Successfully raised $355M in total funding, including an $85M Series C round in August 2024., Launched its second-generation MLSoC (Machine Learning System-on-Chip)., Introduced the Modalix platform to enable multimodal generative AI on edge devices., Achieved first-time-right silicon success with its MLSoC, a significant achievement in the semiconductor industry., Shipped its MLSoC boards and Palette software to a broad range of customers., Recognized by industry analysts as a leader in the AI edge market.

Growth metrics

Specific growth metrics such as revenue are not public. The company has grown to over 200 employees.

Market positioning

SiMa.ai is positioned as a key player in the high-performance, low-power AI for embedded edge market. They target industries such as industrial robotics, autonomous vehicles, smart vision, and drones. Their focus is on enabling complex machine learning tasks to be performed efficiently at the edge, rather than in the cloud.

Geographic focus

While SiMa.ai is headquartered in San Jose, California, its focus is global. The company targets key technology markets in North America, Europe, and Asia, where the adoption of AI and ML in edge devices is rapidly growing.

Patents and IP

While a comprehensive list of company-owned patents is not publicly available, the CEO and other key team members hold numerous international patents in related fields, indicating a strong foundation of intellectual property.

About Krishna Rangasayee

Krishna Rangasayee is the Founder, President, and CEO of SiMa.ai. He has over 28 years of experience in the semiconductor industry. Previously, he was the COO of Groq and held multiple senior leadership roles at Xilinx for over 18 years, including Senior Vice President and General Manager of the overall business, and Executive Vice President of global sales.

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