Small SAR satellite constellation
x Big Data x Machine Learning
Synspective provides solutions for customers’ challenges with utilizing and integrating data
from Synthetic Aperture Radar (“SAR”) satellite constellations, big data, and machine learning.
More than half of the world’s population live in urban areas. Experts predict increasing urbanization will result in 66% of people living in urban areas by 2050. The sustainability and resilience of cities are global issues, and the world doesn’t have enough data and practical know-how to solve this issue.
Synspective gathers broad and high frequency monitoring data from our own SAR satellite constellation and extracts information using machine learning technology to better enable decision-making and action by companies and governments,. The information has multiple benefits such as visualization and prediction of economic activity, monitoring of terrain and structures, and immediate understanding of disaster situations.
Synspective solves customers’ challenges with integrating this information and customer’s data. Our solution empowers customers to achieve their goals for sustainable and resilient urban development, especially dealing with;
Since SAR satellites can constantly and accurately acquire data, compared to optical satellites, the usage of SAR data is spreading among governments of various countries as well as private companies such as finance, insurance and retails. However, obtaining SAR data is difficult because of technological difficulties such as satellite development and data analysis.
Synspective has a world-class research team and data scientists in both small satellite development and image analysis. We are also able to provide solutions utilizing SAR data.
Dr. Motoyuki Arai
Founder & CEO
Dr. Seiko Shirasaka
Satellite System Development Dept.
Solution Development Dept.
Dr. Hirobumi Saito
Dr. Shinichi Nakasuka