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Best Robot Foundation Model Developers Companies

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What is Robot Foundation Model Developers?

The robot foundation model developers market refers to the segment of the artificial intelligence and robotics industry focused on developing foundational AI models for a wide variety of robotic form factors. These models, built on advanced machine learning architectures, provide the underlying capabilities for a wide array of robotic tasks, such as perception, decision-making, and interaction. This market is driven by the growing demand for more autonomous, adaptable, and intelligent robotic systems across industries such as manufacturing, healthcare, logistics, and consumer electronics.

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Top Robot Foundation Model Developers Companies

Meta logo
Meta

United States / Founded Year: 2004

Meta operates in the social media and communication sectors. Its main offerings include social media platforms such as Facebook, Messenger, Instagram, and WhatsApp. Meta is also exploring immersive technologies like augmented and virtual reality. It was formerly known as Facebook. It was founded in 2004 and is based in Menlo Park, California.

Hugging Face logo
Hugging Face

France / Founded Year: 0000

Hugging Face is an open-source machine learning platform that focuses on artificial intelligence within the technology sector. The company provides a space for the machine learning community to develop models, share datasets, and host artificial intelligence (AI) applications, and offers enterprise solutions. Hugging Face was formerly known as Hugging Face. It was founded in 2016 and is based in Paris, France.

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All Companies in Robot Foundation Model Developers

Amazon logo
Amazon

United States / Founded Year: 0000

Amazon provides services including e-commerce, cloud computing, and artificial intelligence. Its main offerings include an online retail platform, cloud infrastructure, and smart home devices. The company serves individual consumers, businesses, and developers with its products. Amazon was formerly known as Cadabra. It was founded in 1994 and is based in Seattle, Washington.

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Baidu

China / Founded Year: 0000

Baidu (SEHK: 9888) delivers a search engine focusing on Chinese language search. It also provides users with many channels with forums, news, maps, translation services, academics, music, cloud storage, mobile applications, and more. The company was founded in 2000 and is based in Beijing, China.

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Covariant logo
Covariant

United States / Founded Year: 0000

Covariant develops automation solutions using artificial intelligence (AI) in the robotics sector. Its main offering, the Covariant Brain, is an AI platform intended to allow robots to pick various items autonomously from day one, supporting warehouse operations. Its technology is used by fulfillment companies to improve operational processes and tackle labor challenges. It was formerly known as Embodied Intelligence. It was founded in 2017 and is based in Emeryville, California.

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Dexforce logo
Dexforce

China / Founded Year: 0000

Dexforce focuses on the integration of embodied intelligence, three-dimensional generative models, and software within the robotics industry. The company provides products that enable robotic systems to perceive and manipulate objects in various environments. These products serve the robotics sector, allowing robotic systems to perform tasks with precision and adaptability. It was founded in 2021 and is based in Shenzhen, China.

Genesis AI logo
Genesis AI

United States / Founded Year: 0000

Genesis AI is a robotics company focused on developing generalist robots for various tasks. The company offers a robotics foundation model, simulation infrastructure, and foundation models aimed at improving the adaptability and functionality of robots in real-world environments. Genesis AI serves sectors that require robotics and AI integration for physical tasks. It was founded in 2024 and is based in Delaware.

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Google DeepMind logo
Google DeepMind

United Kingdom / Founded Year: 0000

Google DeepMind is an artificial intelligence research company focused on AI across various sectors. The company develops generative AI models for creating images, music, and videos, and conducts research in health, climate, and quantum computing. Google DeepMind was formerly known as DeepMind. It was founded in 2010 and is based in London, United Kingdom. In January 2014, Google DeepMind was acquired by Google at a valuation between $500M and $650M.

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Microsoft logo
Microsoft

United States / Founded Year: 0000

Microsoft focuses on software, hardware, and services. The company offers products in business productivity software, cloud computing services, personal computing devices, and gaming consoles. Microsoft serves sectors such as business, education, healthcare, and gaming. It was founded in 1975 and is based in Redmond, Washington.

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NVIDIA logo
NVIDIA

United States / Founded Year: 0000

NVIDIA operates in accelerated computing, focusing on artificial intelligence, high-performance computing, and graphics processing. The company provides products including graphics processing units (GPUs), AI platforms, and data center infrastructure for various applications. NVIDIA's solutions serve sectors such as gaming, creative design, autonomous vehicles, robotics, and edge computing. It was founded in 1993 and is based in Santa Clara, California.

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Physical Intelligence logo
Physical Intelligence

United States / Founded Year: 0000

Physical Intelligence works on the integration of general-purpose artificial intelligence into the physical world, with a focus on the robotics sector. The company develops foundation models and learning algorithms that allow robots and physically-actuated devices to perform complex tasks. The technology is aimed at improving the functionality of robots and devices using AI. It was founded in 2024 and is based in San Francisco, California.

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RLWRLD

South Korea / Founded Year: 0000

RLWRLD focuses on developing foundation models in the robotics sector. Its offerings include systems that allow robots to process information and manipulate objects, aiming for autonomy in various applications. It was founded in 2025 and is based in Seoul, South Korea.

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Skild AI logo
Skild AI

United States / Founded Year: 0000

Skild AI develops embodied systems in the robotics industry. The company offers a robotics foundation model, known as Skild Brain, which is designed to adapt across various hardware and tasks. Skild AI serves sectors that require automation and robotics solutions, including construction, manufacturing, and security. It was founded in 2023 and is based in Pittsburgh, Pennsylvania.

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Toyota Research Institute logo
Toyota Research Institute

United States

Toyota Research Institute specializes in advancing artificial intelligence, automated driving, robotics, and materials science within the automotive and technology sectors. The company focuses on developing technologies that aim to reduce vehicle collisions and fatalities, enhance mobility for individuals regardless of age or ability, and create new materials for more efficient batteries and hydrogen fuel cells. It is based in Los Altos, California.

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World Labs logo
World Labs

United States / Founded Year: 0000

World Labs operates as a spatial intelligence company specializing in artificial intelligence and machine learning. The company focuses on developing large world models (LWMs) that enable artificial intelligence (AI) to perceive, generate, and interact with the three-dimensional (3D) world, both virtual and real, by endowing them with spatial intelligence. World Labs primarily serves sectors that require advanced AI capabilities for understanding and reasoning about 3D environments from various data inputs. It was founded in 2024 and is based in Stanford, California.

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Our Methodology

The ESP matrix leverages data and analyst insight to identify and rank leading private-market companies in a given technology landscape.

What is Robot Foundation Model Developers?

The robot foundation model developers market refers to the segment of the artificial intelligence and robotics industry focused on developing foundational AI models for a wide variety of robotic form factors. These models, built on advanced machine learning architectures, provide the underlying capabilities for a wide array of robotic tasks, such as perception, decision-making, and interaction. This market is driven by the growing demand for more autonomous, adaptable, and intelligent robotic systems across industries such as manufacturing, healthcare, logistics, and consumer electronics.

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