AI-powered space traffic management for mission safety and debris mitigation
OKAPI:Orbits builds AI-driven platforms for space traffic management and satellite operations across three product lines: SSA (space situational awareness), STM (space traffic management), and mission design compliance. The stack is physics-heavy—Python, Java, C++, Fortran for orbital mechanics—paired with modern backend infrastructure (Spring Boot, Kubernetes, RabbitMQ) and web visualization (Cesium.js, React, Angular). Engineering hiring is accelerating (22 active roles, predominantly senior and mid-level) and concentrated entirely in Germany, suggesting deep technical hiring rather than geographic expansion.
OKAPI:Orbits provides comprehensive space traffic management solutions for space agencies, satellite operators, and launch providers. Founded in 2018 and based in Braunschweig, Germany, the company operates three core platforms: OKAPI:Aether and OKAPI:Astrolabe for space surveillance and orbit determination, and OKAPI:Soteria for mission planning and collision detection. The platform addresses the operational challenges of crowded orbital regimes—satellite operations optimization, debris risk identification, regulatory compliance—across mission design, execution, and disposal phases. Active projects span flight dynamics system development, orbit propagation algorithms, mission operations, and proposals for European space agencies (ESA, DLR).
Core: Python, C++, Fortran for orbital mechanics. Backend: Java, Spring Boot, Kubernetes, RabbitMQ. Frontend: React, Angular, TypeScript, Cesium.js for visualization. DevOps: Docker, GitLab, Jira.
Provides AI-based space traffic management platforms covering space situational awareness, collision detection, orbit determination, and mission compliance. Serves satellite operators, launch providers, and space agencies managing debris and safety in crowded orbits.
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