As low Earth orbit becomes more congested and contested, attention is shifting toward AI-enabled systems that can fuse radar and orbital analytics to support faster threat detection.
California-based space tracking company LeoLabs is moving to address this shift with a new space domain awareness system designed for real-time monitoring and analysis.
Called Delta, the platform replaces the company’s earlier LeoGuard system and is built to deliver actionable insights for US and allied operators.
It combines a global radar network with a catalog of more than 26,000 objects, enabling persistent tracking and low-latency data delivery across an increasingly crowded orbital environment.
At its core, Delta uses AI-driven analytics to detect and prioritize events such as orbital maneuvers, proximity operations, and potential collisions, automating alerting and triage to reduce response times.
Responding to Growing Complexity in Orbit
LeoLabs frames the system as a response to the growing complexity of on-orbit activity.
By translating large volumes of orbital data into actionable alerts, Delta is designed to help operators assess risks faster and respond more effectively.
“Today’s dynamic threats — from advanced proximity operations that mirror ‘dogfighting’ to obscured satellite deployments — require more than passive surveillance,” company CEO Tony Frazier said.
“With Delta, we’re giving US and allied operators the ability to not only see what’s happening in orbit, but to also understand what it means and act when it matters most.”
The rollout comes as AI becomes increasingly embedded in military space operations, with the US Space Force also simulating adversarial satellite behavior in training environments.
