All physical data in the world is meaningless if you don’t understand its context. Your data could tell you that a worker spends time walking from place to place, but is it because the work involves multiple areas of a vehicle, or because a trash can is in an inconvenient location? It’s possible to derive some of these insights from conventional 2D video and taking notes, but the Data Time Space Platform offers a permanent, precise spatial record, which begins with a scan of your environment. 

This baseline record serves as the foundation of an intuitive, collaborative workspace accessible via web browser or directly within Microsoft Teams, allowing users to explore and interact with spaces together remotely. Within this environment, multiple specialized spatial applications can be used simultaneously in the multi-tasking interface to tackle real-world problems. For example, the motion analytics application enables you to record and analyze work processes directly within the spatial context, while the measurement application enables you to take accurate virtual measurements about the work process. Additionally, the platform seamlessly integrates IoT and robotic systems, bridging your virtual workspace with the physical world. Our data model coherently organizes every feature of the space from its initial capture to any insights generated by spatial applications. This organization empowers spatial AI systems to understand and interact with these data, supporting more informed and effective decisions.