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§ Private Profile · 1011 Western Ave Suite 600, Seattle, WA 98104, USA
A conceptual entity, drawing on themes from IoT analytics, satellite imagery, geospatial data, and real-time data platforms.
Insight Space-Time, based in San Mateo, California, operates as an advanced analytics platform specializing in the integration of Internet of Things (IoT) data with sophisticated geospatial intelligence, including insights derived from low-orbit satellite applications, for comprehensive industrial and operational optimization. The organization develops robust solutions that leverage real-time data from diverse, large-scale sources to provide predictive intelligence across critical sectors such as power generation, complex logistics, and vital infrastructure management. While specific funding rounds or valuation figures are not publicly detailed, the company focuses on delivering actionable intelligence to enterprise clients, significantly enhancing asset performance monitoring, predictive maintenance, and global supply chain visibility. The platform aims to transform complex, multimodal data into strategic advantages for its users. Insight Space-Time was founded in 2007.
Insight Space-Time has raised $15.0M across 2 funding rounds.
Insight Space-Time operates within the domains of low-orbit satellite applications and the development of multimodal AI large-scale model data.
The company develops multimodal AI large-scale model data, which is integral to its focus on low-orbit satellite applications.
Insight Space-Time operates within the domains of low-orbit satellite applications and the development of multimodal AI large-scale model data.
The company develops multimodal AI large-scale model data, which is integral to its focus on low-orbit satellite applications.
Insight Space-Time has raised $15.0M across 2 funding rounds. Most recently, it raised $6.5M Seed in February 2026.
| Date | Round | Lead Investors | Other Investors | Status |
|---|---|---|---|---|
| Feb 9, 2026 | $6.5M Seed | — | Insight Spacetime Technology, Jiaxing Gaoxiu, Liding Yuanheng | Announced |
| Apr 18, 2019 | $8.5M Series A | Thomas Gieselmann | Correlation Ventures, MHS Capital, NextView Ventures | Announced |
Insight Space-Time operates at the forefront of two critical technological domains: low-orbit satellite applications and the development of multimodal AI large-scale model data. This dual focus allows the organization to explore and develop integrated solutions that capitalize on the strengths of both fields. The emphasis on low-orbit satellites suggests an interest in creating systems that benefit from reduced latency, higher resolution imaging, or more efficient data transmission compared to higher-altitude counterparts. Such applications could span various sectors, including environmental monitoring, telecommunications, or defense.
The company's commitment to multimodal AI involves building sophisticated artificial intelligence models capable of processing and interpreting diverse forms of data. Multimodal AI integrates information from multiple modalities, such as visual, auditory, and textual inputs, to achieve a more comprehensive understanding and generate more robust insights. Developing large-scale models implies a focus on handling vast datasets and complex computational challenges, aiming for high performance and broad applicability.
By combining these areas, Insight Space-Time is positioned to develop advanced capabilities for extracting actionable intelligence from satellite-derived data. For example, multimodal AI could be used to analyze satellite imagery alongside other sensor data and contextual information, leading to more accurate predictions or automated decision-making processes for satellite operations or their downstream applications. This synergistic approach aims to enhance the utility and effectiveness of space-based assets.