ASTRID - Synthetic Telemetry Platform

Realism is not a feature, it's the standard

ASTRID-NG delivers high-fidelity synthetic telemetry generation for aerospace applications. Simulate 10,000+ satellites with RKF78 integration and microsecond precision. Generate billions of telemetry records with realistic space weather, atmospheric drag, and multi-body dynamics. Export to JSON, CCSDS, CSV, or Parquet formats. DoD Iron Bank ready.

Massive Scale

10,000+ satellites simulated simultaneously. Billions of telemetry records per run. Built for mega-constellations from day one.

Physics Fidelity

RKF78 adaptive integration. JB2008 atmospheric model. Complete force modeling including J2, SRP, and third-body effects.

Space Weather

Real-time F10.7 and Ap/Kp indices. CME and geomagnetic storm simulation. Time-varying atmospheric density.

Platform Capabilities

Complete Force Models

Earth gravity harmonics up to degree 70, J2 perturbations, JB2008 drag, solar radiation pressure, lunar and solar gravity.

RKF78 Adaptive

Variable timestep with microsecond precision. Automatic error control across LEO to GEO to cislunar trajectories.

Constellation Scale

Parallel processing architecture. Efficient memory management for 10,000+ satellites. Billions of records per simulation.

Environmental Modeling

Space weather coupling with real indices. Atmospheric density variations. Solar storm and CME effects.

Data Flexibility

Export to JSON, CCSDS, CSV, or Parquet. Configurable data rates. Stream or batch processing options.

DoD Compliance

Iron Bank containerization ready. DISA STIG compliance. Air-gap deployment capable. Encrypted data handling.

Built For Mission Success

Test Engineers

Generate realistic telemetry for ground system validation. Test data pipelines at scale.

Mission Planners

Validate orbit designs. Analyze coverage patterns. Optimize constellation geometry.

Defense & Intelligence

Model adversary capabilities. Simulate contested environments. Train operators with realistic data.

Research Institutions

Study atmospheric effects. Validate propagation models. Analyze space weather impacts.

Commercial Operators

Pre-launch validation. Digital twin development. Performance prediction and analysis.

Training Centers

Create realistic scenarios. Generate student datasets. Validate operational procedures.

Synthetic Data Powers Tomorrow's Missions

Defense & Military Training

Use Case: Classroom training and mission rehearsal with scalable satellite scenarios.

Benefits: Reduces training costs, improves realism, and lowers operational risk by safely simulating space conditions and anomalies.

Aerospace Operators

Use Case: Stress-test constellations, simulate anomalies, and rehearse missions before launch.

Benefits: Reduces costly mission errors, validates resilience under adverse conditions, and enables safer pre-launch decision-making.

Academic Research

Use Case: Universities and labs conducting aerospace, systems engineering, or cybersecurity studies.

Benefits: Provides an affordable, flexible platform for both small-scale projects and large-scale experiments, preparing students for real-world space challenges.

AI/ML & Data Science

Use Case: Training machine learning models with high-volume synthetic telemetry.

Benefits: Generates massive, labeled datasets for anomaly detection and predictive analytics, accelerating innovation without depending on scarce real-world satellite data.

Join as an Early Partner

ASTRID will be available Q2 2026. We're seeking select technical partners to test early outputs and shape the platform.