Advanced sensor data fusion, target tracking, and orbit estimation software.
What it does
Executes non-linear estimation algorithms for orbit determination and target trajectory tracking.
Fuses data inputs across optical, radar, passive radio, and event-based sensors.
Applies particle-based track-before-detect techniques to detect low-signal space objects.
Generates real-time situational awareness dashboards for satellite operations and space defense.
Why it works
Utilizes specialized track-before-detect and particle filter algorithms for dim target tracking.
Offers high-precision orbit determination validated across defense and space surveillance initiatives.
Supports multi-sensor data fusion, enabling seamless integration with ground-based and space-based sensors.
Provides specialized domain expertise tailored to defense-grade security and space tracking standards.
Advanced sensor data fusion, target tracking, and orbit estimation software.
Overview
InTrack (InTrack Solutions) provides specialized software solutions for space domain awareness, orbit determination, and multi-sensor data fusion. Designed for defense, aerospace, and commercial space applications, the platform processes complex tracking data from optical, radar, and event-based sensors. By leveraging track-before-detect and non-linear estimation algorithms, InTrack delivers high-precision trajectory and orbit calculations. This enables defense agencies and commercial satellite operators to monitor space objects and maintain space situational awareness.
Founded year:2018
Founder:Mark Rutten
Team size:2-10
Popularity:Deployed across specialized defense projects, space surveillance programs, and scientific research initiatives
HQ:Adelaide, Australia
Status:Active
Funding status:Bootstrapped
Customer type:B2B
Funding:Bootstrapped
Pricing:Enterprise
Tech stack:C++, Python, Java, Orekit, Linux
Platform:Web
Integrations:Orekit, Python, REST API, MATLAB, C++ Libraries
What it does
Executes non-linear estimation algorithms for orbit determination and target trajectory tracking.
Fuses data inputs across optical, radar, passive radio, and event-based sensors.
Applies particle-based track-before-detect techniques to detect low-signal space objects.
Generates real-time situational awareness dashboards for satellite operations and space defense.
Who it's for
Defense & Military Agencies
Commercial Satellite Operators
Aerospace Research Institutes
Space Domain Awareness Organizations
Why it works
Utilizes specialized track-before-detect and particle filter algorithms for dim target tracking.
Offers high-precision orbit determination validated across defense and space surveillance initiatives.
Supports multi-sensor data fusion, enabling seamless integration with ground-based and space-based sensors.
Provides specialized domain expertise tailored to defense-grade security and space tracking standards.
Founder story
InTrack Solutions was founded by Dr. Mark Rutten in Adelaide, Australia. Leveraging extensive background in non-linear estimation, track-before-detect algorithms, and space domain awareness, Dr. Rutten built InTrack to solve complex target tracking and orbit determination challenges. The specialized consultancy and software platform supports critical defense and space research programs worldwide.
Alternatives
Comparison overview
InTrack focuses specifically on non-linear estimation, track-before-detect, and multi-sensor data fusion algorithms for space situational awareness.
Unlike broad orbital mechanics software suites like AGI STK, InTrack provides specialized algorithm integration tailored for dim target tracking and custom defense operations.