Satellite Operations Infrastructure

Real-time drag forecasting through direct atmospheric measurement

Current satellite drag predictions rely on physics-based models with no direct sensing of the thermosphere. Atlas Grid changes this with in-situ measurement from a dedicated sensor constellation.

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$1T+ Protected orbital assets

100k+ Satellites at risk

$513M+ Annual drag services market

The Problem

Satellite operators are flying blind

Atmospheric drag is the dominant perturbation for low-Earth orbit satellites. Current prediction methods fail when operators need them most—during geomagnetic storms that can increase drag by 10x or more.

Model Dependency

Existing solutions rely entirely on empirical models (NRLMSISE, JB2008) that were calibrated on historical data. They cannot capture real-time thermospheric variability.

No Direct Sensing

There is no operational infrastructure measuring thermospheric density directly. Operators depend on predictions derived from solar and geomagnetic proxies—not actual conditions.

Storm-Time Failures

During geomagnetic storms—precisely when accurate predictions matter most—model errors can exceed 50%. This leads to emergency maneuvers, collision risk, and operational uncertainty.

The Solution

Atlas Grid

A dedicated constellation providing real-time, in-situ atmospheric density measurements across low-Earth orbit. Direct sensing, not modeling.

Explore Constellation

Interactive 3D View

Direct Measurement

Purpose-built sensors measuring atmospheric density at orbital altitudes. No models, no proxies—actual thermospheric conditions in real-time.

Global Coverage

Distributed constellation architecture providing continuous coverage across all local times, latitudes, and altitudes relevant to satellite operations.

Storm Resilience

Measurement-based approach captures rapid density variations during geomagnetic storms, enabling accurate predictions precisely when they matter most.

Operational Integration

Data products designed for direct integration into satellite operations workflows, maneuver planning systems, and conjunction assessment processes.

Technology

Sun-to-Thermosphere Pipeline

Our forecasting system tracks space weather from its solar origins through interplanetary space to its thermospheric effects—providing context and lead time for operational decisions.

Solar Surface

Coronal holes, active regions

Solar Wind

L1 monitoring, shock detection

Magnetosphere

Geomagnetic response

Thermosphere

Density variations

Drag Forecast

Operational predictions

Market Opportunity

A critical infrastructure gap

The space economy depends on accurate drag prediction. As orbital assets multiply, so does the cost of uncertainty.

$1T+
Protected Orbital Assets
Satellites, space stations, and collision liability at stake
McKinsey & Company, WEF 2024

$2.9B → $7B

Combined TAM by 2032

Space weather ($1.2B → $2.8B) + SSA/Collision avoidance ($1.7B → $4.2B)

DataIntelo

9.5%

CAGR

Drag forecasting is the fastest-growing segment in space weather services

Industry analysis

$513M+

Annual Drag Services

Verified current spending on atmospheric drag prediction and analysis

Primary research

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Founders

Built by domain experts

Fadil Inceoglu, PhD - Founder & CEO of Orbit Axiom Systems

Dr. Fadil Inceoglu

Co-Founder & CEO

Space physicist at NCEI-NOAA/CIRES-University of Colorado Boulder with over a decade of experience in solar physics and space weather forecasting. Developer of operational algorithms for GOES satellites. Research spanning solar physics to galactic cosmic rays, solar wind dynamics, geomagnetic dynamics, and machine learning applications to space weather. Creator of coronal hole detection algorithms used by GFZ Potsdam for operational HSS forecasting.

25+ peer-reviewed publications $655K+ in NASA/NSF grants NOAA operational deployment GOES satellite algorithms GFZ Potsdam CH detection

LinkedIn Google Scholar

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Dr. Paul Loto'aniu

Co-Founder & Chief Scientist

Space physicist and space-systems expert with over 15 years of experience in space weather, heliophysics, and spacecraft instrumentation. Instrument scientist and technical lead on major NASA–NOAA missions including GOES-R, DSCOVR, and SWFO-L1. Expertise spanning spacecraft hardware development, on-orbit calibration, anomaly investigation, and delivery of operational space-weather products used to protect space-based assets.

50+ peer-reviewed publications $6M+ in NASA/NOAA/NSF grants NASA–NOAA mission leadership GOES-R, DSCOVR, SWFO-L1 instruments PI on flight magnetometer hardware