Data Time Space provides a spatial computing platform that uses 3D scanning and ergonomic tracking to analyze and optimize industrial workflows. Their solution accelerates time-motion studies with AI-driven analytics, providing insights for process improvement and faster decision-making.
Funding
Funding not disclosed
Founders
Product
Problem
Traditional industrial process analysis relies on manual methods like stopwatches, video recordings, and manually-entered spreadsheets, making time-motion and ergonomic studies time-consuming, subjective, and prone to error. Analyzing work processes to identify inefficiencies and areas for improvement is difficult due to the lack of contextual data and the challenges of communicating insights effectively.
Solution
Data Time Space provides a spatial computing platform that automates the collection and analysis of industrial process data, reducing the time required for process improvement analysis by up to 80%. The Data Time Space Recorder, an application for iPhone or iPad, captures spatial video and ergonomic human motion data within a 3D scan of the work environment. This approach eliminates the need for manual data collection and provides a comprehensive spatial context for analysis, enabling users to identify inefficiencies, improve workflows, and communicate insights more effectively. The platform also supports remote collaboration, design reviews, and integration with IoT and robotic systems.
Target Audience
The primary target audience includes continuous improvement teams, industrial engineers, and operations managers in manufacturing, logistics, and other industries who are responsible for optimizing work processes and improving efficiency.
Features
- Automated data collection using the Data Time Space Recorder app on iPhone or iPad
- High-precision 3D human motion tracking within a comprehensive spatial context
- Integration of video, device tracking, and LiDAR depth data for accurate motion capture
- Web-based platform for exploring and interacting with scanned environments remotely
- Tools for annotation, spatial commenting, and virtual measurements
- Support for multiple spatial applications within a multi-tasking interface
- Integration with Microsoft Teams for enhanced collaboration
- Compatibility with AR devices and desktop computers