Digital Twin Solutions Powered by Physical AI
Build and analyze 3D spatial data to experience future-ready infrastructure operations powered by digital twins
Digital Twin Solutions Powered by Physical AI
Build and analyze 3D spatial data to experience future-ready infrastructure operations powered by digital twins
Key Features
Key Features
Key Feature 1
Automated Generation and Validation of 3D Spatial Data from BIM
Automatically convert existing BIM and CAD design files into analysis-ready 3D datasets, cleanse errors, validate inter-object connectivity, and provide visual inspection tools to ensure accuracy and reliability.
By reducing build costs and establishing a precise analytical foundation, RetinaDT™ enhances the reliability of digital twin simulations and data-driven analyses.
Key Feature 1
Automated Generation and Validation of 3D Spatial Data from BIM
Automatically convert existing BIM and CAD design files into analysis-ready 3D datasets, cleanse errors, validate inter-object connectivity, and provide visual inspection tools to ensure accuracy and reliability.
By reducing build costs and establishing a precise analytical foundation, RetinaDT™ enhances the reliability of digital twin simulations and data-driven analyses.
Key Feature 1
Automated Generation and Validation of 3D Spatial Data from BIM
Automatically convert existing BIM and CAD design files into analysis-ready 3D datasets, cleanse errors, validate inter-object connectivity, and provide visual inspection tools to ensure accuracy and reliability.
By reducing build costs and establishing a precise analytical foundation, RetinaDT™ enhances the reliability of digital twin simulations and data-driven analyses.
Key Feature 2
3D Asset Connectivity and Spatial Analytics
Leverages asset-to-asset links, flow directions, and spatial attributes to perform optimal path analysis, object search, clash detection, and other 3D navigation workloads in real time on Kairos Spatial™, our high-performance in-memory spatial DBMS.
Rapidly grasp intricate relationships within facility and run highly accurate spatial analytics, even in the large-scale industrial environments.
Key Feature 2
3D Asset Connectivity and Spatial Analytics
Leverages asset-to-asset links, flow directions, and spatial attributes to perform optimal path analysis, object search, clash detection, and other 3D navigation workloads in real time on Kairos Spatial™, our high-performance in-memory spatial DBMS.
Rapidly grasp intricate relationships within facility and run highly accurate spatial analytics, even in the large-scale industrial environments.
Key Feature 2
3D Asset Connectivity and Spatial Analytics
Leverages asset-to-asset links, flow directions, and spatial attributes to perform optimal path analysis, object search, clash detection, and other 3D navigation workloads in real time on Kairos Spatial™, our high-performance in-memory spatial DBMS.
Rapidly grasp intricate relationships within facility and run highly accurate spatial analytics, even in the large-scale industrial environments.
Key Feature 3
Custom Analytics APIs for Physics Simulations and AI Agents
Provides an end-to-end RESTful API for data collection, model creation, validation, and analytics, delivering seamless integration with external systems and effortless customization.
Accelerate analytics application development and achieve flexible, seamless integration across systems.
Key Feature 3
Custom Analytics APIs for Physics Simulations and AI Agents
Provides an end-to-end RESTful API for data collection, model creation, validation, and analytics, delivering seamless integration with external systems and effortless customization.
Accelerate analytics application development and achieve flexible, seamless integration across systems.
Key Feature 3
Custom Analytics APIs for Physics Simulations and AI Agents
Provides an end-to-end RESTful API for data collection, model creation, validation, and analytics, delivering seamless integration with external systems and effortless customization.
Accelerate analytics application development and achieve flexible, seamless integration across systems.
Applications
Applications
01
Inter-Equipment Piping Network Analysis
Trace piping routes connected to each piece of equipment
Manage key pipe properties such as length, diameter, thickness, and elbows
Locate surrounding systems associated with specific equipment
In the event of an issue, identify connected equipment and valves, and analyze the impact scope
02
Exhaust and Duct Simulation Analysis
Trace duct routes from each piece of equipment to the exhaust outlet
Extract parameters such as pipe length, diameter, thickness, and bend angles
Run simulations using extracted parameters and visualize with colors
01
Inter-Equipment Piping Network Analysis
Trace piping routes connected to each piece of equipment
Manage key pipe properties such as length, diameter, thickness, and elbows
Locate surrounding systems associated with specific equipment
In the event of an issue, identify connected equipment and valves, and analyze the impact scope
02
Exhaust and Duct Simulation Analysis
Trace duct routes from each piece of equipment to the exhaust outlet
Extract parameters such as pipe length, diameter, thickness, and bend angles
Run simulations using extracted parameters and visualize with colors
01
Inter-Equipment Piping Network Analysis
Trace piping routes connected to each piece of equipment
Manage key pipe properties such as length, diameter, thickness, and elbows
Locate surrounding systems associated with specific equipment
In the event of an issue, identify connected equipment and valves, and analyze the impact scope
02
Exhaust and Duct Simulation Analysis
Trace duct routes from each piece of equipment to the exhaust outlet
Extract parameters such as pipe length, diameter, thickness, and bend angles
Run simulations using extracted parameters and visualize with colors
References
References
