ASTRID
Advanced Simulation for Telemetry & Realistic Information Delivery, is arriving in 2026.
Overview
Designed for technical teams building the next generation of AI/ML models, ASTRID is a satellite telemetry simulation engine unlike any other. It produces richly detailed, physics-based synthetic telemetry datasets that replicate real-world satellite behavior across orbits, subsystems, and mission timelines.
Whether you're training models to detect anomalies, forecast power trends, or simulate autonomous space operations, ASTRID is your launchpad for realistic, labeled, and AI-ready telemetry.
Core Features
Realism-First Simulation
Every dataset is grounded in aerospace modeling — including orbital mechanics, subsystem dynamics, and mission constraints.
Labeled Anomalies & Edge Cases
Train robust models with controlled injection of events like power loss, LOS transitions, degraded performance, and unexpected environmental effects.
Deployment Options
Whether cloud-based or offline, ASTRID gives you full control over where and how your synthetic telemetry is generated and consumed.
Scenario Customization
Set your own satellite parameters, TLEs, ground station visibility, simulation intervals, and mission durations.
ML-Optimized Outputs
Telemetry is formatted for time-series learning frameworks in CSV or SQLite — ready for use in supervised, unsupervised, or reinforcement learning workflows.
Be Part of the Build: ASTRID Test Program
ASTRID is on track for a 2026 release, and now’s your chance to shape it.
We're inviting a select group of technical users to test early output, validate simulation features, and help us ensure ASTRID meets the highest standards for realism and utility. If you’ve got a project or product you are building and need state-of-the-art data to train on, reach out to us!