SceneOps Data Platform
Data-driven research, testing, production, and operations for robotics companies
SceneOps Data Platform
Data-driven research, testing, production, and operations for robotics companies
Machine Full Lifecycle Data Management
Machine Full Lifecycle Data Management
Machine Full Lifecycle Data Management
The Spatial-Time Data Platform has excellent functions for automatic data collection, real-time monitoring, and diagnostic analysis. Our platform ensures the purification, labeling, and evaluation processes of data, allowing you to efficiently utilize multimodal data through semantic retrieval, automation processes, and comprehensive visualization.
Real-time monitoring devices, online data collection
Chart Analysis
Map and Route Planning
Online visualization of data, freely set laser point clouds
Real-time monitoring devices, online data collection
Chart Analysis
Map and Route Planning
Online visualization of data, freely set laser point clouds
Real-time monitoring devices, online data collection
Chart Analysis
Map and Route Planning
Online visualization of data, freely set laser point clouds
Real-time monitoring devices, online data collection
Chart Analysis
Map and Route Planning
Online visualization of data, freely set laser point clouds
Real-time monitoring devices, online data collection
Chart Analysis
Map and Route Planning
Online visualization of data, freely set laser point clouds
Real-time monitoring devices, online data collection
Chart Analysis
Map and Route Planning
Online visualization of data, freely set laser point clouds
Real-time monitoring devices, online data collection
Chart Analysis
Map and Route Planning
Online visualization of data, freely set laser point clouds
Real-time monitoring devices, online data collection
Chart Analysis
Map and Route Planning
Online visualization of data, freely set laser point clouds
Data Challenges Urgently Need to Be Addressed
Data Challenges Urgently Need to Be Addressed
Data Challenges Urgently Need to Be Addressed
Explosion of unstructured spatio-temporal data
High difficulty and high threshold for processing
Explosion of unstructured spatio-temporal data
High difficulty and high threshold for processing
Pain 1
Spend 80% of the time on data cleaning and preprocessing Unable to focus on model development and optimization
Spend 80% of the time on data cleaning and preprocessing Unable to focus on model development and optimization
Pain 2
Explosion of unstructured spatio-temporal data High difficulty and high threshold for processing
Explosion of unstructured spatio-temporal data High difficulty and high threshold for processing
Pain 3
Data processing toolchains do not match between teams Lack of effective data sharing and collaboration mechanisms
Data processing toolchains do not match between teams Lack of effective data sharing and collaboration mechanisms
Pain 4
Data quality issues lead to model instability. The workload for debugging and optimization is enormous.
Data quality issues lead to model instability. The workload for debugging and optimization is enormous.
Pain 5
Build data processing workflows from scratch Spend a significant amount of manpower and time
Build data processing workflows from scratch Spend a significant amount of manpower and time
Pain 6
Seamlessly Connect the Data Loop
Seamlessly Connect the Data Loop
Seamlessly Connect the Data Loop
Platform's Three Core Capabilities: Scenario-based Data Operations and Maintenance, Scenario-based Workflow Engine, Semantic Search and Data Discovery.
Data Platform
Test Platform
Edge Control Console
Player
Data Collection
Diagnostic Data
Deployment
Research and Development
Edge Control Console
Remote Device Access and Intelligent Data Collection Based on Rules
Data Platform
Data Governance and Discovery, Data Quality and Security Assurance, Efficient Team Data Collaboration
Player
Spatiotemporal Data Visualization Playback, Web-based Development Visualization Debugging Tools
Test Platform
Large-Scale Parallel Testing, Simulation Integration and Evaluation, Unified Management of Test Suites
Data Platform
Test Platform
Edge Control Console
Player
Data Collection
Diagnostic Data
Deployment
Research and Development
Edge Control Console
Remote Device Access and Intelligent Data Collection Based on Rules
Data Platform
Data Governance and Discovery, Data Quality and Security Assurance, Efficient Team Data Collaboration
Player
Spatiotemporal Data Visualization Playback, Web-based Development Visualization Debugging Tools
Test Platform
Large-Scale Parallel Testing, Simulation Integration and Evaluation, Unified Management of Test Suites
Data Platform
Test Platform
Edge Control Console
Player
Data Collection
Diagnostic Data
Deployment
R & D
Edge Control Console
Remote Device Access and Intelligent Data Collection Based on Rules
Data Platform
Data Governance and Discovery, Data Quality and Security Assurance, Efficient Team Data Collaboration
Player
Spatiotemporal Data Visualization Playback, Web-based Development Visualization Debugging Tools
Test Platform
Large-Scale Parallel Testing, Simulation Integration and Evaluation, Unified Management of Test Suites
Covering Multiple Stages of Production and Research
Covering Multiple Stages of Production and Research
Research and Development
Algorithm optimization, parameter tuning, visual analysis, ground truth annotation
Test
Regression testing, simulation verification, robustness testing, compliance review
production
Offline inspection, device labeling, environment scanning, task deployment
Operations and Maintenance
Classification alarms, automatic diagnosis, issue tracking, remote operation and maintenance
Easily Handle Various Scenarios
Easily Handle Various Scenarios
Easily Handle Various Scenarios
6400+
Cloud Testing
6400+
Cloud Testing
6400+
Cloud Testing
1500+
O&M Machine
1500+
O&M Machine
1500+
O&M Machine
19600+
Scene Data
19600+
Scene Data
19600+
Scene Data
1300+
HRS
Run the Workflow
1300+
HRS
Run the Workflow
1300+
HRS
Run the Workflow
Data as of March 2025, sourced from coScene.
Choice of Many Head Robot CompaniesTrusted Selection
Choice of Many Head Robot CompaniesTrusted Selection
"No more repeated downloads and replays! My team of 6-7 people can save 80 hours per week."
Lead of PAE
"Maintaining an overseas on-site presence costs a minimum of $300 per occurrence. Remote data transmission, diagnostics, and issue resolution can significantly help us optimize maintenance costs."
System Engineer
"The interface is user-friendly, no need for virtual machine installation, which makes training for our overseas maintenance team much simpler."
Lead of FAE
"Simulation testing can cover 60% of our on-site testing, significantly reducing the cost of manual testing."
Algorithm Director
"Previously, we could only schedule testing for 5 machines, but by implementing coScene, we can now simultaneously test 20 machines, significantly improving efficiency."
Simulation Engineer
"Previously, it took 2 days to run a full-scale test on 400 data points. Now, it can be completed in just 2 hours！"
Algorithm Director
"Engineers can now close the development loop much faster. They get insights into the quality of each version we release. This means we can iterate, roll back, and pinpoint issues quickly."
Algorithm Director
"No more repeated downloads and replays! My team of 6-7 people can save 80 hours per week."
Lead of PAE
"Maintaining an overseas on-site presence costs a minimum of $300 per occurrence. Remote data transmission, diagnostics, and issue resolution can significantly help us optimize maintenance costs."
System Engineer
"The interface is user-friendly, no need for virtual machine installation, which makes training for our overseas maintenance team much simpler."
Lead of FAE
"Simulation testing can cover 60% of our on-site testing, significantly reducing the cost of manual testing."
Algorithm Director
"Previously, we could only schedule testing for 5 machines, but by implementing coScene, we can now simultaneously test 20 machines, significantly improving efficiency."
Simulation Engineer
"Previously, it took 2 days to run a full-scale test on 400 data points. Now, it can be completed in just 2 hours！"
Algorithm Director
"Engineers can now close the development loop much faster. They get insights into the quality of each version we release. This means we can iterate, roll back, and pinpoint issues quickly."
Algorithm Director
Our Partners Are Located All Over the World
Our Partners Are Located All Over the World
Frequently Asked Questions
What aspects are included in the data closed loop?
Kehang Time and Space proposes the concept of containerization of time and space data, independently developing data container engines, workflow engines, and semantic search engines. These three engines greatly enhance the ability to access, query, govern, and schedule the computation of unstructured data, becoming the cornerstone of various data applications.Currently, the company has implemented four major functional modules: console, data platform, visualization player, and testing platform, providing users with a closed-loop service for the R&D process.
What aspects are included in the data closed loop?
Kehang Time and Space proposes the concept of containerization of time and space data, independently developing data container engines, workflow engines, and semantic search engines. These three engines greatly enhance the ability to access, query, govern, and schedule the computation of unstructured data, becoming the cornerstone of various data applications.Currently, the company has implemented four major functional modules: console, data platform, visualization player, and testing platform, providing users with a closed-loop service for the R&D process.
How can time-space traversal empower enterprises?
With the rapid development of artificial intelligence, the demand for training data is also constantly increasing. The AI industry is shifting from a single structured approach to a multi-modal and spatiotemporal direction. Moreover, the robotics industry is also experiencing rapid growth; however, the rapid advancement of robots can easily lead them into the trap of high costs.Spatiotemporal execution will enable data-driven enterprises, bringing a 700% increase in productivity, and it will ultimately become the core competitiveness of robotics companies.
How can time-space traversal empower enterprises?
With the rapid development of artificial intelligence, the demand for training data is also constantly increasing. The AI industry is shifting from a single structured approach to a multi-modal and spatiotemporal direction. Moreover, the robotics industry is also experiencing rapid growth; however, the rapid advancement of robots can easily lead them into the trap of high costs.Spatiotemporal execution will enable data-driven enterprises, bringing a 700% increase in productivity, and it will ultimately become the core competitiveness of robotics companies.
What are the application scenarios of the time-space data platform?
The application scenarios of the platform are very diverse, including but not limited to: smart home, industrial assembly, café management, storage and logistics, and other fields.
What are the application scenarios of the time-space data platform?
The application scenarios of the platform are very diverse, including but not limited to: smart home, industrial assembly, café management, storage and logistics, and other fields.
How can I use the Kexing Temporal Data Platform?
Currently supports various interaction methods, including web platforms and multiple integration features, allowing for easy deployment and use.
How can I use the Kexing Temporal Data Platform?
Currently supports various interaction methods, including web platforms and multiple integration features, allowing for easy deployment and use.
Covering Multiple Stages of Production and Research
Research and Development
Algorithm optimization, parameter tuning, visual analysis, ground truth annotation
Test
Regression testing, simulation verification, robustness testing, compliance review
production
Offline inspection, device labeling, environment scanning, task deployment
Operations and Maintenance
Classification alarms, automatic diagnosis, issue tracking, remote operation and maintenance
Unlock Data Potential, Build the Data Flywheel
Unlock Data Potential
Unlock Data Potential, Build the Data Flywheel
"No more repeated downloads and replays! My team of 6-7 people can save 80 hours per week."
Lead of PAE
"Maintaining an overseas on-site presence costs a minimum of $300 per occurrence. Remote data transmission, diagnostics, and issue resolution can significantly help us optimize maintenance costs."
System Engineer
"The interface is user-friendly, no need for virtual machine installation, which makes training for our overseas maintenance team much simpler."
Lead of FAE
"Simulation testing can cover 60% of our on-site testing, significantly reducing the cost of manual testing."
Algorithm Director
"Previously, we could only schedule testing for 5 machines, but by implementing coScene, we can now simultaneously test 20 machines, significantly improving efficiency."
Simulation Engineer
"Previously, it took 2 days to run a full-scale test on 400 data points. Now, it can be completed in just 2 hours！"
Algorithm Director
"Engineers can now close the development loop much faster. They get insights into the quality of each version we release. This means we can iterate, roll back, and pinpoint issues quickly."
Algorithm Director
Frequently Asked Questions
What aspects are included in the data closed loop?
Kehang Time and Space proposes the concept of containerization of time and space data, independently developing data container engines, workflow engines, and semantic search engines. These three engines greatly enhance the ability to access, query, govern, and schedule the computation of unstructured data, becoming the cornerstone of various data applications.Currently, the company has implemented four major functional modules: console, data platform, visualization player, and testing platform, providing users with a closed-loop service for the R&D process.
What aspects are included in the data closed loop?
Kehang Time and Space proposes the concept of containerization of time and space data, independently developing data container engines, workflow engines, and semantic search engines. These three engines greatly enhance the ability to access, query, govern, and schedule the computation of unstructured data, becoming the cornerstone of various data applications.Currently, the company has implemented four major functional modules: console, data platform, visualization player, and testing platform, providing users with a closed-loop service for the R&D process.
How can time-space traversal empower enterprises?
With the rapid development of artificial intelligence, the demand for training data is also constantly increasing. The AI industry is shifting from a single structured approach to a multi-modal and spatiotemporal direction. Moreover, the robotics industry is also experiencing rapid growth; however, the rapid advancement of robots can easily lead them into the trap of high costs.Spatiotemporal execution will enable data-driven enterprises, bringing a 700% increase in productivity, and it will ultimately become the core competitiveness of robotics companies.
How can time-space traversal empower enterprises?
With the rapid development of artificial intelligence, the demand for training data is also constantly increasing. The AI industry is shifting from a single structured approach to a multi-modal and spatiotemporal direction. Moreover, the robotics industry is also experiencing rapid growth; however, the rapid advancement of robots can easily lead them into the trap of high costs.Spatiotemporal execution will enable data-driven enterprises, bringing a 700% increase in productivity, and it will ultimately become the core competitiveness of robotics companies.
What are the application scenarios of the time-space data platform?
The application scenarios of the platform are very diverse, including but not limited to: smart home, industrial assembly, café management, storage and logistics, and other fields.
What are the application scenarios of the time-space data platform?
The application scenarios of the platform are very diverse, including but not limited to: smart home, industrial assembly, café management, storage and logistics, and other fields.
How can I use the Kexing Temporal Data Platform?
Currently supports various interaction methods, including web platforms and multiple integration features, allowing for easy deployment and use.
How can I use the Kexing Temporal Data Platform?
Currently supports various interaction methods, including web platforms and multiple integration features, allowing for easy deployment and use.
contact@coscene.io
© 2025 coScene
contact@coscene.io
© 2025 coScene
contact@coscene.io
© 2025 coScene