Orbital mechanics and specialized AI come together to help identify collision risks and support preventive action.
01
A clearer view of orbital risk
Space debris puts active satellites at risk. ZenithAI combines orbital mechanics calculations, machine learning, and real-time data processing to track objects and assess potential collisions. Its research focuses on identifying risks early enough to support preventive decisions.
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Fine-tuned Kedy E1 models
For the machine learning (ML) and small language model (SLM) parts of its work, ZenithAI used fine-tuned versions of the Kedy E1 model family. These adapted models form part of the organization’s AI work alongside orbital data analysis and predictive analytics.
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From monitoring to maneuver recommendations
ZenithAI’s system brings together continuous monitoring, early warnings, and AI-powered maneuver recommendations. The aim is to help satellite operators avoid potential collisions while minimizing fuel consumption, turning orbital risk analysis into timely alerts and actionable recommendations.