About us

About Us

About us

About Us

About us

About Us

Start the new era of embodied intelligent data analysis

coScene was established in June 2022, focusing on a comprehensive artificial intelligence data platform. The company is comprised of core members from renowned tech giants such as Apple, Google, and Amazon, and has secured several million dollars in angel investment. Its primary areas of expertise include robotics and autonomous driving, with a strong emphasis on efficient operations and reliable functional testing to enhance productivity and user satisfaction.

The founder has extensive experience in the robotics data platform field, and the company has signed and operated with multiple firms in the robotics and autonomous driving sectors. coScene's testing and simulation capabilities are crucial for meeting the demands in these areas, providing support for innovation and technological advancement.

Start the new era of embodied intelligent data analysis

coScene was established in June 2022, focusing on a comprehensive artificial intelligence data platform. The company is comprised of core members from renowned tech giants such as Apple, Google, and Amazon, and has secured several million dollars in angel investment. Its primary areas of expertise include robotics and autonomous driving, with a strong emphasis on efficient operations and reliable functional testing to enhance productivity and user satisfaction.

The founder has extensive experience in the robotics data platform field, and the company has signed and operated with multiple firms in the robotics and autonomous driving sectors. coScene's testing and simulation capabilities are crucial for meeting the demands in these areas, providing support for innovation and technological advancement.

Our team is highly experienced.

We are a team focused on automated systems, with members from top industry-leading companies.

Our team has extensive experience in developing machine platforms.


Yangming Huang

CEO

Yangming, a leader in the technology industry, has rich experience in serving as the head of automatic systems in multiple top robot technology companies, and currently holds the position of CEO of Kexing.

Yujing Zheng

CTO

Yujing, an outstanding talent in the field of technology research and development with a strong technical background, has previously served as a research and development director at multiple leading robotics companies and is currently the CTO of coScene.

Yangming Huang

CEO

Yangming, a leader in the technology industry, has extensive experience serving as the head of automated systems at several top robotics technology companies and is currently the CEO of coScene.

Yujing Zheng

CTO

Yujing, an outstanding talent in the field of technology research and development with a strong technical background, has previously served as a research and development director at multiple leading robotics companies and is currently the CTO of coScene.

Frequently Asked Questions

What aspects does the data closed loop include?

coScene proposes the concept of spatiotemporal data containerization and has independently developed three major engines: the Data Container Engine, Workflow Engine, and Semantic Search Engine. These engines greatly enhance the capabilities of accessing, querying, governing, and scheduling data computation for unstructured data, becoming the cornerstone of various data applications. Currently, the company has implemented four major functional modules: the Control Console, Data Platform, Visualization Player, and Testing Platform, providing users with a service loop for the research and development process.

How can coScene empower enterprises?

With the rapid development of artificial intelligence, the demand for training data is constantly increasing. The AI industry is transitioning from single structured data to multi-modal and spatiotemporal data. Additionally, the robotics industry is also experiencing rapid growth. However, the rapid development of robots can easily lead to high-cost traps. coScene will realize enterprise data-driven operations, bringing a 700% increase in productivity, and ultimately become the core competitive advantage of robotics companies.

What are the application scenarios of coScene?

The application scenarios for coScene are extremely diverse, including but not limited to: smart home, industrial assembly, cafe management, and warehouse logistics.

How can I use the coScene platform?

Currently, coScene supports multiple interaction methods, including web platforms and various integrated features, allowing you to easily deploy and use it.

What is the development history of coScene?

2022: In May, coScene was established and received tens of millions of angel round financing in August. In October, we developed a multimodal data engine, provided diagnostic and collaborative capabilities, and successfully delivered the MVP, signing a seed customer agreement. 2023: In February, we joined AliCloud Computing Nest and signed cooperation agreements with Shanghai Software Center and others. In August, we successfully delivered a complete testing platform, and the cluster management experience completed the first-stage closed loop. We gained recognition from more than three top-tier paid robot head enterprises, including GAUSSIAN, KEENON and EVOLUTION. In November, we visited Figure.ai and began technical requirement docking. In December, we signed with Supor, officially entering the field of smart home appliances. 2024: In January, we integrated annotation platforms, simulation platforms, and other ecosystems, and signed with AGIBOT. In June, we vigorously promoted the research and development closed loop of physical robots, and cooperated with SHANGHAI ROBOT INDUSTRIAL TECHNOLOGY RESEARCH CENTER, Shanghai's top three universities, and launched data standardization services. We also began to expand into overseas markets. In September, we developed annotation integration and semantic search engines, completed PMF, and carried out extensive cooperation and integration. We also provided a marketplace and established an ecosystem.

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Unlock the potential of data, feel the power of cloud computing

Ready to use out of the box

Start Now

Unlock the potential of data and feel the power of cloud computing

Ready to use out of the box

Start Now

Unlock the potential of data and feel the power of cloud computing

Ready to use out of the box

Frequently Asked Questions

What aspects does the data closed loop include?

coScene proposes the concept of spatiotemporal data containerization and has independently developed three major engines: the Data Container Engine, Workflow Engine, and Semantic Search Engine. These engines greatly enhance the capabilities of accessing, querying, governing, and scheduling data computation for unstructured data, becoming the cornerstone of various data applications. Currently, the company has implemented four major functional modules: the Control Console, Data Platform, Visualization Player, and Testing Platform, providing users with a service loop for the research and development process.

What aspects does the data closed loop include?

coScene proposes the concept of spatiotemporal data containerization and has independently developed three major engines: the Data Container Engine, Workflow Engine, and Semantic Search Engine. These engines greatly enhance the capabilities of accessing, querying, governing, and scheduling data computation for unstructured data, becoming the cornerstone of various data applications. Currently, the company has implemented four major functional modules: the Control Console, Data Platform, Visualization Player, and Testing Platform, providing users with a service loop for the research and development process.

How can coScene empower enterprises?

With the rapid development of artificial intelligence, the demand for training data is constantly increasing. The AI industry is transitioning from single structured data to multi-modal and spatiotemporal data. Additionally, the robotics industry is also experiencing rapid growth. However, the rapid development of robots can easily lead to high-cost traps. coScene will realize enterprise data-driven operations, bringing a 700% increase in productivity, and ultimately become the core competitive advantage of robotics companies.

How can coScene empower enterprises?

With the rapid development of artificial intelligence, the demand for training data is constantly increasing. The AI industry is transitioning from single structured data to multi-modal and spatiotemporal data. Additionally, the robotics industry is also experiencing rapid growth. However, the rapid development of robots can easily lead to high-cost traps. coScene will realize enterprise data-driven operations, bringing a 700% increase in productivity, and ultimately become the core competitive advantage of robotics companies.

What are the application scenarios of coScene?

The application scenarios for coScene are extremely diverse, including but not limited to: smart home, industrial assembly, cafe management, and warehouse logistics.

What are the application scenarios of coScene?

The application scenarios for coScene are extremely diverse, including but not limited to: smart home, industrial assembly, cafe management, and warehouse logistics.

How can I use the coScene platform?

Currently, coScene supports multiple interaction methods, including web platforms and various integrated features, allowing you to easily deploy and use it.

How can I use the coScene platform?

Currently, coScene supports multiple interaction methods, including web platforms and various integrated features, allowing you to easily deploy and use it.

What is the development history of coScene?

2022: In May, coScene was established and received tens of millions of angel round financing in August. In October, we developed a multimodal data engine, provided diagnostic and collaborative capabilities, and successfully delivered the MVP, signing a seed customer agreement. 2023: In February, we joined AliCloud Computing Nest and signed cooperation agreements with Shanghai Software Center and others. In August, we successfully delivered a complete testing platform, and the cluster management experience completed the first-stage closed loop. We gained recognition from more than three top-tier paid robot head enterprises, including GAUSSIAN, KEENON and EVOLUTION. In November, we visited Figure.ai and began technical requirement docking. In December, we signed with Supor, officially entering the field of smart home appliances. 2024: In January, we integrated annotation platforms, simulation platforms, and other ecosystems, and signed with AGIBOT. In June, we vigorously promoted the research and development closed loop of physical robots, and cooperated with SHANGHAI ROBOT INDUSTRIAL TECHNOLOGY RESEARCH CENTER, Shanghai's top three universities, and launched data standardization services. We also began to expand into overseas markets. In September, we developed annotation integration and semantic search engines, completed PMF, and carried out extensive cooperation and integration. We also provided a marketplace and established an ecosystem.

What is the development history of coScene?

2022: In May, coScene was established and received tens of millions of angel round financing in August. In October, we developed a multimodal data engine, provided diagnostic and collaborative capabilities, and successfully delivered the MVP, signing a seed customer agreement. 2023: In February, we joined AliCloud Computing Nest and signed cooperation agreements with Shanghai Software Center and others. In August, we successfully delivered a complete testing platform, and the cluster management experience completed the first-stage closed loop. We gained recognition from more than three top-tier paid robot head enterprises, including GAUSSIAN, KEENON and EVOLUTION. In November, we visited Figure.ai and began technical requirement docking. In December, we signed with Supor, officially entering the field of smart home appliances. 2024: In January, we integrated annotation platforms, simulation platforms, and other ecosystems, and signed with AGIBOT. In June, we vigorously promoted the research and development closed loop of physical robots, and cooperated with SHANGHAI ROBOT INDUSTRIAL TECHNOLOGY RESEARCH CENTER, Shanghai's top three universities, and launched data standardization services. We also began to expand into overseas markets. In September, we developed annotation integration and semantic search engines, completed PMF, and carried out extensive cooperation and integration. We also provided a marketplace and established an ecosystem.

Frequently Asked Questions

What aspects does the data closed loop include?

coScene has proposed the concept of spatiotemporal data containerization and independently developed three major engines: the Data Container Engine, Workflow Engine, and Semantic Search Engine. These three engines greatly enhance the capabilities of accessing, querying, governing, and scheduling data computation for unstructured data, becoming the cornerstone of various data applications. Currently, the company has implemented four major functional modules: the Control Console, Data Platform, Visualization Player, and Testing Platform, providing users with a service loop for the research and development process.

What aspects does the data closed loop include?

coScene has proposed the concept of spatiotemporal data containerization and independently developed three major engines: the Data Container Engine, Workflow Engine, and Semantic Search Engine. These three engines greatly enhance the capabilities of accessing, querying, governing, and scheduling data computation for unstructured data, becoming the cornerstone of various data applications. Currently, the company has implemented four major functional modules: the Control Console, Data Platform, Visualization Player, and Testing Platform, providing users with a service loop for the research and development process.

How can coScene empower enterprises?

With the rapid advancement of artificial intelligence, the demand for training data is continuously increasing. The AI industry is transitioning from single structured data towards multi-modal and spatiotemporal data. Additionally, the robotics industry is experiencing rapid growth. However, the rapid development of robots can easily lead to high-cost traps. coScene will realize enterprise data-driven operations, bringing a 700% increase in workforce efficiency, and ultimately become the core competitive advantage of robotics companies.

How can coScene empower enterprises?

With the rapid advancement of artificial intelligence, the demand for training data is continuously increasing. The AI industry is transitioning from single structured data towards multi-modal and spatiotemporal data. Additionally, the robotics industry is experiencing rapid growth. However, the rapid development of robots can easily lead to high-cost traps. coScene will realize enterprise data-driven operations, bringing a 700% increase in workforce efficiency, and ultimately become the core competitive advantage of robotics companies.

What are the application scenarios of coScene?

The application scenarios for coScene are extremely diverse, including but not limited to: smart home, industrial assembly, cafe management, and warehouse logistics.

What are the application scenarios of coScene?

The application scenarios for coScene are extremely diverse, including but not limited to: smart home, industrial assembly, cafe management, and warehouse logistics.

How can I use the coScene platform?

Currently, coScene supports multiple interaction methods, including web platforms and various integrated features, allowing you to easily deploy and use it.

How can I use the coScene platform?

Currently, coScene supports multiple interaction methods, including web platforms and various integrated features, allowing you to easily deploy and use it.

What is the development history of coScene?

2022: In May, coScene was established and received tens of millions of angel round financing in August. In October, we developed a multimodal data engine, provided diagnostic and collaborative capabilities, and successfully delivered the MVP, signing a seed customer agreement. 2023: In February, we joined AliCloud Computing Nest and signed cooperation agreements with Shanghai Software Center and others. In August, we successfully delivered a complete testing platform, and the cluster management experience completed the first-stage closed loop. We gained recognition from more than three top-tier paid robot head enterprises, including GAUSSIAN, KEENON and EVOLUTION. In November, we visited Figure.ai and began technical requirement docking. In December, we signed with Supor, officially entering the field of smart home appliances. 2024: In January, we integrated annotation platforms, simulation platforms, and other ecosystems, and signed with AGIBOT. In June, we vigorously promoted the research and development closed loop of physical robots, and cooperated with SHANGHAI ROBOT INDUSTRIAL TECHNOLOGY RESEARCH CENTER, Shanghai's top three universities, and launched data standardization services. We also began to expand into overseas markets. In September, we developed annotation integration and semantic search engines, completed PMF, and carried out extensive cooperation and integration. We also provided a marketplace and established an ecosystem.

What is the development history of coScene?

2022: In May, coScene was established and received tens of millions of angel round financing in August. In October, we developed a multimodal data engine, provided diagnostic and collaborative capabilities, and successfully delivered the MVP, signing a seed customer agreement. 2023: In February, we joined AliCloud Computing Nest and signed cooperation agreements with Shanghai Software Center and others. In August, we successfully delivered a complete testing platform, and the cluster management experience completed the first-stage closed loop. We gained recognition from more than three top-tier paid robot head enterprises, including GAUSSIAN, KEENON and EVOLUTION. In November, we visited Figure.ai and began technical requirement docking. In December, we signed with Supor, officially entering the field of smart home appliances. 2024: In January, we integrated annotation platforms, simulation platforms, and other ecosystems, and signed with AGIBOT. In June, we vigorously promoted the research and development closed loop of physical robots, and cooperated with SHANGHAI ROBOT INDUSTRIAL TECHNOLOGY RESEARCH CENTER, Shanghai's top three universities, and launched data standardization services. We also began to expand into overseas markets. In September, we developed annotation integration and semantic search engines, completed PMF, and carried out extensive cooperation and integration. We also provided a marketplace and established an ecosystem.