Autonomous Satellite Operations

Autonomous Intelligence for Satellite Operations.

Real-time anomaly detection, 4-day predictive forecasting, space weather correlation, and AI-powered reasoning — built for mission operators.

0+

Satellites in orbit

4-day

Predictive anomaly window

96.2%

Detection accuracy

Anomaly Intelligence

57+ detection patterns

Predictive Forecasting

96h P10/P50/P90 bands

Digital Twin

Subsystem health simulation

Space Weather

Kp + proton flux live

ASO Copilot

AI root-cause analysis

The Industry Problem

40–50%

of mission-critical knowledge is held by engineers who will retire within 10 years

22,000+

close conjunction events flagged per month — almost all require human triage

4–8 hrs

is how long it takes current tools to diagnose a telemetry anomaly without historical context

Operational Reality

What satellite teams deal with today.

The gap between raw telemetry and actionable insight costs missions time, money, and institutional knowledge.

01Institutional memory lost at retirement

Knowledge walks out the door

Senior engineers carry decades of undocumented anomaly patterns in their heads. When they retire, that institutional memory is gone — and the next incident starts from zero.

0260–70% false positive rate reported

Alerts without context are noise

Modern telemetry pipelines generate thousands of data points per pass. Without historical grounding and cross-subsystem correlation, operators can't distinguish a real anomaly from a sensor artifact.

03Avg. 4–8 hours per anomaly diagnosis

Every incident is solved from scratch

The same EPS voltage drop that was resolved 14 months ago fires again — but no one wrote it down. Teams repeat the same 6-hour triage loop because there's no system linking past fixes to present failures.

041 root cause generates 10+ separate alerts

Eclipse seasons break generic detectors

Power and thermal channels drop predictably during orbital eclipse. Generic threshold detectors don't know the satellite is in shadow — so they alarm constantly, burning operator trust and masking real events.

LymanX doesn't just detect anomalies — it predicts them 4 days out, identifies their orbital cause, and surfaces every similar incident your team has ever solved. From raw telemetry to resolved incident in minutes, not hours.

Why LymanX

Built different from the ground up.

Orbital-Aware by Design

Generic detectors alarm during eclipse because they don't know the satellite is in shadow. LymanX knows — every alert carries orbital phase, space weather state, and causal attribution.

Predictive, Not Reactive

Our predictive engine forecasts threshold breaches 4 days out with P10/P50/P90 confidence bands. Operators see what's coming, not just what happened.

Institutional Memory

The ASO Copilot reasons over your mission's own history. The EPS voltage drop resolved 14 months ago? It surfaces the exact resolution automatically.

Enterprise-Grade. Mission-Ready.

Built for operators, not hobbyists.

LymanX is an enterprise platform. Every decision — from access control to data handling — reflects that.

Enterprise-Only Access

No public tier. Every operator is vetted before getting access. The platform is built around the needs of professional satellite teams, not casual users.

Your Data. Your Satellites.

We don't resell your telemetry. We don't aggregate your mission data across customers. Your satellite data stays yours, period.

Built on Real Missions

Not synthetic data. LymanX was trained and validated on actual satellite anomaly history — real edge cases, real orbital effects, real resolutions.

Space-Weather Native

NOAA GOES proton flux and Kp index are first-class signals — not add-ons. Space weather is built into every anomaly classification and forecast.

The future of space
operations starts here

30-minute session. See your own satellite data in the platform.

BOOK A DEMO

Or email us at founder@lymanai.com