Running a smallsat constellation means processing large volumes of telemetry, tracking orbits, allocating resources and scheduling. Small operators often rely on a patchwork of spreadsheets and external consultants, which makes operations costly, inefficient and prone to human error. Outsourced flight dynamics and manual scheduling drive up costs. Without one system for telemetry and orbital data, that data is hard to manage, and limited automation means a lot of manual processing. Each new satellite and orbit adds to the load as operators scale.
Luna Space: one SaaS platform for smallsat constellation operators
The Challenge
The Solution
Luna Space wanted a cloud-based, automated system that removes the need for in-house expertise, reduces manual work and gives real-time insight into smallsat missions. The SaaS web app provides an automated pipeline for telemetry processing, orbit visualisation and mission scheduling.
Users upload telemetry data, which is processed and shown on a dashboard with dynamic 2D orbital plots of satellite positions. An AI-powered scheduling engine allocates resources and lets teams adjust mission plans in real time. The minimalist mission control dashboard makes data quick to read, and role-based access supports teamwork.

The Result
Automated processing pipelines cut manual work by 50%, so teams spend their time on mission strategy instead of formatting data. Operating costs fall by 20-30% because operators no longer need external flight dynamics support and carry less software maintenance. Real-time orbit visualisation and telemetry processing give operators faster, data-driven insight for decisions.
As a SaaS product, the platform scales from a single satellite to a full constellation without new infrastructure. Operators depend less on manual and third-party processes, which saves time and money as they grow. Luna Space is aimed at lean satellite operators that want to run efficiently and keep overheads low.

Project tech stack
React

PHP
Laravel
MYSQL
Tailwind CSS
