Star Test Future Technology (Beijing)

Star Test Future Technology (Beijing) Co., Ltd., also known as StarDetect, was established in April 2020 as a provider of intelligent satellite application solutions. The company's founding team originated from Tsinghua University's "Tianhe Project," a student-led scientific research initiative focused on detecting gamma-ray bursts. This academic background provided the initial insight into the need for rapid on-orbit data processing to improve the timeliness of scientific observations. The core leadership includes CEO Dr. Cang Jirong, a Tsinghua University engineering physics Ph.D. and astronomy postdoctoral fellow; COO Cao Dezhi, also a Ph.D. from Tsinghua's engineering physics department; and CTO Pan Xingyu, a fellow Ph.D. and postdoctoral researcher from the same department. Their collective experience in satellite payload development, testing, launch, and in-orbit operations forms the technical foundation of the company.

StarDetect operates in the commercial aerospace sector, providing hardware and software solutions that embed artificial intelligence into satellites. The business addresses the growing demand for efficient data handling as the number of satellites in orbit increases, leading to vast amounts of generated data. Its business model revolves around providing integrated hardware and software platforms and AI processing solutions to clients in defense, emergency response, and commercial intelligent services. The company's technology aims to upgrade satellite capabilities by enabling on-orbit data compression and processing, which is critical for delivering timely information for applications like financial analysis, disaster relief, and security monitoring.

The company's offerings are categorized into three main product lines: the "Star Test" series for space science applications, the "Star Stream" series of high-performance space-based computing payloads, and the "Sea Moon" space-based computing simulation platform. These products provide end-to-end solutions, including payload design, satellite integration, and in-orbit operations. A key feature is their high-performance, on-board edge computing, which utilizes a super-heterogeneous architecture (CPU/FPGA/GPU/DSA) to function as an intelligent "brain" for satellites. This allows for real-time processing of SAR and optical remote sensing data, AI-powered image compression, and intelligent target recognition directly in orbit, significantly reducing the time from data acquisition to user delivery. The team has successfully launched and operated over 23 payloads, with the longest demonstrating stable in-orbit operation for five years.

Keywords: satellite intelligence, on-orbit computing, edge computing, space-based AI, remote sensing, SAR data processing, satellite payloads, intelligent satellites, space science solutions, Earth observation, heterogeneous computing, satellite software, constellation operations, disaster relief monitoring, aerospace technology, AI algorithms, real-time data processing, ground simulation platform