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Open Cosmos Tech Stack

Small satellite operator and earth observation data platform

Defense and Space Manufacturing Harwell, Oxfordshire 201–500 employees Founded 2015 Privately Held
open-cosmos.com LinkedIn

Open Cosmos designs, builds, and operates small satellites for telecommunications, earth observation, and navigation, paired with a data delivery platform. The tech stack reveals a dual engineering focus: satellite command-and-control (MATLAB, Simulink, FPGA, ASIC, STK) alongside modern cloud infrastructure (Azure, Kubernetes, PostgreSQL, React). Current hiring skews heavily toward engineering and data roles across Spain, Portugal, and Canada, while active projects span high-fidelity LEO simulation, computer vision pipelines, and AI-powered earth observation—indicating aggressive product expansion beyond launch services into analytics and autonomous capabilities.

Tech Stack 55 technologies

Core StackIntune Jira MATLAB Python C++ Docker Go Kubernetes PostgreSQL React TypeScript Redux ArcGIS Jamf PowerShell Bash Configuration Manager DVB-S2X FPGA ASIC Simulink USRP GNU Radio HFSS STK Zustand I need a technology name to normalize, but you've only provided "Context" which appears to be a placeholder or incomplete input. Please provide the actual technology name you'd like me to normalize. For example: "MS Excel", "K8s", "PostgreSQL", etc D3.js Recharts QGIS+22 more
AdoptingAzure AD RAG

What Open Cosmos Is Building

◆Challenges

  • Migrating to m365 and entra id
  • Improving automation and self-service
  • Enhancing security compliance
  • Optimising capacity and reliability across constellation
  • Resilience planning for satellite communications
  • Scaling backend services
  • Improving platform performance
  • High-volume real-time data handling
  • Scaling missions and operations
  • Bottlenecks in automation

▲Active Projects

  • Qualification test campaigns
  • Migration to m365 and entra id
  • Edr rollout
  • Wi-fi refresh
  • High-fidelity simulation framework for leo satellite communication systems
  • Dynamic resource management and orchestration strategy development
  • Ai-powered pilots and applications using earth observation data
  • Computer vision models for detection, segmentation, and classification tasks
  • Ai workflows combining eo data with llm orchestration
  • Satellite data delivery platform

Hiring Activity

Accelerating10 roles · 10 in 30d

Department

Engineering
5
Data
4
Operations
1
Support
1

Seniority

Mid
6
Intern
2
Senior
2
Junior
1
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About Open Cosmos

Open Cosmos operates a vertically integrated satellite business: designing and building small satellites in-house, managing a constellation in orbit, and delivering processed earth observation data through a platform. The company serves telecommunications, earth observation, navigation, and science segments. At 201–500 employees, the organization balances hardware engineering (payload and mission design) with software teams scaling a data platform and backend services. Current focus areas include mission simulation, computer vision for satellite imagery analysis, and LLM-orchestrated workflows that combine earth observation data with AI inference.

HeadquartersHarwell, Oxfordshire
Company Size201–500 employees
Founded2015
Hiring MarketsSpain, Portugal, Canada

Frequently Asked Questions

What tech stack does Open Cosmos use?

Satellite systems: MATLAB, Simulink, STK, FPGA, ASIC, DVB-S2X, USRP, GNU Radio, HFSS. Cloud/backend: Azure AD, Kubernetes, PostgreSQL, Python, Go, C++, Docker. Frontend: React, TypeScript, Redux, Zustand, D3.js, Recharts. GIS: QGIS, ArcGIS. Currently adopting Azure AD and RAG.

What is Open Cosmos working on?

High-fidelity LEO satellite simulation, computer vision models for detection and segmentation from satellite imagery, AI workflows combining earth observation data with LLM orchestration, a satellite data delivery platform, and dynamic resource management for constellation operations.

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How this profile is built

Open Cosmos's technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →

This is not an official vendor or customer list. It is a technology-adoption signal inferred from public data, intended for B2B research.