Satellite system-level high-fidelity simulation

Satellite system-level high-fidelity simulation image

Overview

SIM.SPACE offers high-fidelity satellite simulations as a turn-key simulation projects delivery. The SIM.SPACE satellite simulations infrastructure is a modern framework and SDK that enables running simulations on any topology / architecture on single Laptop, bare-metal server, cluster of servers, cloud computers or Virtual machine, as a single process or distributed using multi-level parallel computation, micro-services, Docker, Kubernetes clusters, HPC, supporting both Linux & Windows development environments and IDEs. Enabling your simulations to scale up from a single satellite to a constellation of thousands of satellites

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Overview

Name
Satellite system-level high-fidelity simulation
Subsystem
Other
Component Type
Service
Form Factor
All
Heritage
Yes
Average Cost
$50,000 to $350,000 USD
Fiscal Year
2024
Average Lead Time
3 to 6 months

Details

Execution: single process, parallel proccessing, Docker, K8s
All
Number of simulated satellites in a single simulation
1-10,000
Simulation user interfaces
Web browser, CLI, REST API
Supported operating system
Linux / Windows

Vendor Details

Name
SIM.SPACE
Founded
2019
Summary
SIM.SPACE offers a satellite simulations development framework and SDK for rapid simulation development, or turn-key simulation projects delivery. SIM.SPACE has developed a globally first-of-its-kind simulations and hybrid labs (HIL) and Digital Twins infrastructure for scalable satellite system-level simulations that harness the power of distributed parallel computing, micro services, and cloud computing architecture (private or public) to enable the capacity necessary for AI and Machine Learning applications, Large scale simulations (e.g. satellite constellations) and fast performance analysis (i.e. Monte Carlo). SIM.SPACE is an ISO certified company that consists of team of engineers with decades of hands-on experience in the fields of: space, satellites, simulations, physics, real-time, embedded systems, remote sensing, DevOps, large scale SAAS platforms and cloud based micro-services.

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Specifications

Subsystem
Other
Component Type
Service
Form Factor
All
Dry Mass
N/A
Average Power
N/A
Heritage
Yes
Status
In Production
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