Data Time Space: Company Profile

Background

Company Overview

Data Time Space is a technology company specializing in spatial artificial intelligence (AI) solutions designed to enhance efficiency, collaboration, and intelligent automation within industrial environments. Established in 2025, the company aims to revolutionize industrial processes by integrating spatial AI into continuous improvement methodologies.

Mission and Vision

The company's mission is to build the best Spatial AI platform for the AI-powered industrial frontline, delivering tools that enhance efficiency, collaboration, and intelligent automation. Their vision is to empower every team to capture consistent data with minimal setup, enabling rapid, data-driven decisions and fostering continuous improvement.

Primary Area of Focus

Data Time Space focuses on providing AI-driven solutions that integrate spatial data collection and analysis into industrial workflows, particularly targeting continuous improvement processes such as Kaizen. Their platform enables teams to collect and analyze data efficiently, facilitating informed decision-making and operational enhancements.

Industry Significance

In the context of Industry 4.0, Data Time Space's offerings are significant as they bridge the gap between physical operations and digital analytics. By leveraging spatial AI, the company addresses the need for real-time, accurate data collection and analysis in industrial settings, contributing to smarter manufacturing processes and improved operational outcomes.

Key Strategic Focus

Core Objectives

Enhancing Data Collection: Simplify and expedite the process of capturing consistent data across industrial teams.

Empowering Team Leaders: Provide tools that enable team leaders to measure time, motion, and ergonomics effectively.

Accelerating Continuous Improvement: Reduce the time required for data analysis, enabling faster, data-driven decisions.

Specific Areas of Specialization

Spatial AI Integration: Incorporating spatial AI technologies to analyze and interpret physical spaces and workflows.

Industrial Process Optimization: Focusing on continuous improvement methodologies, particularly Kaizen, to enhance operational efficiency.

Key Technologies Utilized

AI-Powered Video Analysis: Utilizing advanced video analytics to assess time, motion, and ergonomics in industrial settings.

Mobile Data Collection: Leveraging mobile devices, such as iPhones, for on-the-go data recording without the need for extensive setup.

Primary Markets Targeted

Manufacturing Industry: Providing solutions to streamline operations and improve productivity on the shop floor.

Automotive Sector: Addressing specific challenges related to process improvement and efficiency in automotive manufacturing.

Financials and Funding

Funding History

As of December 2025, Data Time Space has secured initial funding from PTC, which served as the first investor. The company has not publicly disclosed additional funding rounds or total funds raised.

Utilization of Capital

The capital raised is intended to support the development and deployment of their spatial AI platform, focusing on enhancing product capabilities, expanding market reach, and driving innovation in industrial process optimization.

Pipeline Development

Key Pipeline Candidates

Data Time Space is actively developing its spatial AI platform, with a focus on:

Recorder App: An application that enables factory workers and team managers to collect expert-level data efficiently, reducing the time spent on manual measurements and observations.

Stages of Development

Product Development: The Recorder app is in the final stages of development, with plans for deployment in early 2026.

Target Conditions

Industrial Workflows: Aiming to improve data collection and analysis in manufacturing and automotive sectors.

Anticipated Milestones

Early 2026: Deployment of the Recorder app in select manufacturing facilities.

Mid-2026: Full-scale rollout across multiple industrial sectors.

Technological Platform and Innovation

Proprietary Technologies

Spatial AI Platform: A comprehensive system that integrates spatial data collection, analysis, and visualization to enhance understanding of physical spaces and workflows.

Significant Scientific Methods

AI-Powered Video Analysis: Employing machine learning algorithms to analyze video data for time, motion, and ergonomic assessments.

Spatial Data Modeling: Utilizing spatial data models to create accurate representations of industrial environments for analysis.

Leadership Team

Key Executives

Valentin Heun: CEO

Benjamin Reynolds: CTO

James Hobin: CIO

Jim Heppelmann: Chairman of the Board

Professional Backgrounds and Contributions

Valentin Heun: Co-founder of Data Time Space, previously involved in spatial computing projects at PTC.

Benjamin Reynolds: CTO with a background in AI and machine learning, leading the development of the company's technological infrastructure.

James Hobin: CIO responsible for overseeing the company's information technology strategy and operations.

Jim Heppelmann: Chairman of the Board, bringing extensive experience in industrial technology and innovation.

Competitor Profile

Market Insights and Dynamics

The industrial AI and process optimization market is experiencing significant growth, driven by the need for enhanced efficiency and data-driven decision-making in manufacturing sectors. Companies are increasingly adopting AI solutions to streamline operations and maintain competitive advantages.

Competitor Analysis

Space and Time: A decentralized data platform offering blockchain-based data warehousing solutions, focusing on providing verifiable compute layers for blockchain and AI applications.

Lonestar Data Holdings: A company aiming to deploy data centers on the lunar surface, exploring innovative data storage solutions in space.

Strategic Collaborations and Partnerships

Data Time Space has established a strategic partnership with PTC, which served as the first investor, providing initial funding and support for the company's initiatives.

Operational Insights

Data Time Space differentiates itself by focusing on integrating spatial AI into industrial workflows, offering a unique solution that combines physical space analysis with digital data processing. This approach enables real-time, accurate data collection and analysis, setting the company apart in the industrial AI sector.

Strategic Opportunities and Future Directions

The company plans to expand its platform's capabilities to include advanced analytics and predictive modeling, further enhancing its value proposition to industrial clients. Additionally, Data Time Space aims to explore partnerships with other technology providers to integrate complementary solutions, broadening its market reach and impact.