
StarWiz
A company specializing in data mining and analysis from space using satellites, providing independent and accurate economic indexes through A.I.-powered professional analysis toolkits, and focusing on advanced technologies in Optical and Radar Imaging Satellites.
Date | Investors | Amount | Round |
---|---|---|---|
investor | €0.0 | round | |
investor investor | €0.0 | round | |
* | CNY100m | Series A | |
Total Funding | 000k |
StarWiz, operating as 中科星睿 (Zhongke Xingrui) in China, is a commercial space company specializing in satellite-based data analytics and information services. The firm's core team originates from prominent Chinese institutions, including the Chinese Academy of Sciences and Tsinghua University, possessing extensive professional experience in satellite design, manufacturing, and multi-industry applications.
The company's business revolves around leveraging satellite imagery and applying proprietary, machine learning-based computational models to generate actionable insights. It serves clients primarily in the energy and agriculture sectors by providing data that helps them evaluate supply-chain risks, manage assets over large geographical areas, and anticipate market movements. StarWiz generates revenue by offering customized reports and data products, such as its weekly crude oil inventory reports for specific global locations, which are accessible through platforms like Thomson Reuters terminals.
StarWiz's key service involves the analysis of high-resolution remote sensing satellite data to extract valuable economic indicators. For the energy sector, it provides precise calculations of crude oil storage by analyzing satellite imagery to determine the status of oil tanks. In agriculture, the company analyzes satellite images with deep learning models to estimate crop yields and monitor agricultural infrastructure, like greenhouses. A notable product is the StarWiz WTI Signals, a crude oil futures trading indicator product based on Cushing crude oil inventory data, which demonstrates a historical forecast accuracy of 60-70%.
Keywords: commercial space, satellite data analytics, geospatial intelligence, earth observation, remote sensing, energy market analysis, agricultural intelligence, crude oil inventory, supply chain risk management, asset management, crop yield estimation, machine learning, deep learning, financial data services, Thomson Reuters, WTI signals, 中科星睿