Space Environment Intelligence

The local intelligence layer for space operations

Orbit Axiom builds modular sensing nodes and software for radiation, magnetic-field, plasma, GNSS TEC/scintillation, and lunar dust awareness across Earth orbit, cislunar space, and the lunar surface.

GOES-R DSCOVR SWFO-L1 NOAA / NASA instrumentation
Earth Orbit Radiation, plasma, MAG, GNSS TEC and scintillation products.
Cislunar Local context for lunar orbiting assets and upstream warning.
Lunar Surface Dust, charging, radiation, and field awareness for surface systems.
API / Alerts / Mission Hooks
14,200 functioning satellites in orbit today
$230.6M Space Weather Next L1 spacecraft order
15 planned CLPS lunar deliveries by 2028
Commercial first flight node — pre-seed round in progress
The Missing Layer

Space operations still infer local risk from distant measurements

The operating environment changes locally. Spacecraft, lunar systems, and national-security missions need situational awareness where assets actually operate, not only post-event reconstruction from sparse reference sensors.

Radiation and particles

Exposure, lifetime, anomaly diagnosis, and mission timing depend on local particle conditions and changing radiation context.

Plasma and magnetic fields

Charging, safing, instrument context, and geospace coupling require measurements close to the mission, not only upstream references.

GNSS TEC and scintillation

Ionospheric structure affects communications, navigation, and anomaly awareness for commercial, civil, and national-security workflows.

Platform

Hardware opens the door. Workflow becomes the moat.

Orbit Axiom is a sensing-data-software stack. Reusable flight electronics feed a calibrated environment data layer, which feeds software products that become part of mission operations.

01

Sense

Flight nodes and hosted payload integrations collect local radiation, magnetic-field, plasma, GNSS, and dust signals.

02

Fuse

Calibration, event context, and cross-sensor validation turn raw measurements into usable environment intelligence.

03

Deliver

APIs, dashboards, alerts, and historical datasets bring the environment into operator and developer workflows.

04

Act

Mission software hooks support planning, safing, autonomy, early warning, and anomaly investigation.

Operating Domains

One core stack. Multiple mission front ends.

The same sensing and data model expands across domains because the causal problem is the same: local environment signals change mission decisions.

Earth-orbit nodes for SWx and ionospheric anomaly awareness

Hosted payloads create the fastest path to first data, pilots, and software subscriptions.

Radiation / particles Magnetic field Plasma GNSS TEC Scintillation Operator alerts

Commercial operations

Spacecraft anomaly context, communications and navigation disruption awareness, and API feeds for operational teams.

Government workflows

Local environment data for launch context, civil space weather services, mission assurance, and early anomaly cueing.

Local context for lunar and cislunar infrastructure

As lunar operations become repeatable, local environment awareness shifts from science payload to mission infrastructure.

Radiation Plasma Magnetic field Magnetotail context Surface operations

Lunar orbit

Gateway, landers, and lunar orbiting assets need local context for radiation, charging, and field conditions.

Lunar surface

Habitats, rovers, suits, seals, optics, radiators, and solar arrays feel the environment directly.

Dust is the fourth lunar signal

Keep the tri-sensor core. Add rover-mounted dust sensing as the lunar front end for charge, adhesion, ingress, and contamination context.

Dust adhesion Electrostatic charge EVA timing Rover maintenance Habitat protection

Protect hardware

Seals, optics, solar arrays, radiators, and mobility systems need local dust-risk context.

Protect crew

Surface environment intelligence supports EVA planning, ingress control, and contamination-aware operations.

National Security

Environment intelligence for contested-domain awareness

GNSS TEC and scintillation monitoring, combined with plasma, magnetic-field, and far-ultraviolet sensing, delivers multi-phenomenology ionospheric and electromagnetic anomaly awareness for communications, navigation, launch, missile-defense, and contested-domain workflows. Orbit Axiom measures environmental signals through physically independent channels and delivers calibrated context for early warning, attribution, and mission assurance.

Signal Ionospheric and electromagnetic disturbance

High-energy atmospheric and space events leave measurable structure across multiple sensing channels.

Measure Multi-phenomenology signature

GNSS, plasma, magnetic-field, and FUV front ends track signal behavior relevant to navigation, communications, and contested-domain operations.

Fuse Cross-channel attribution

Physically independent channels separate environmental background from operational anomalies, supporting discrimination and attribution that no single sensing modality can deliver alone.

Deliver Calibrated cueing

Alert feeds, API hooks, and mission-software integration without exposing sensitive operational assumptions.

Venture Logic

Reusable hardware on the front end. Recurring data on the back end.

The same electronics and data model create several revenue layers: flight hardware, hosted integrations, data subscriptions, software access, and government pilots.

Hardware and integration

Flight units, hosted payload packages, and mission-specific configurations.

Data subscriptions

Environment feeds, alerts, and historical datasets for operators and civil users.

API and software

Dashboard seats, developer access, mission hooks, autonomy inputs, and analytics.

Government programs

Pilots, hosted demos, payload opportunities, and commercial data buys.

Team

The physics-to-hardware execution pair

Orbit Axiom is built by founders who have worked inside the instrumentation and operations context that today protects space assets.

Dr. Fadil Inceoglu

Dr. Fadil Inceoglu

Co-Founder and CEO

NOAA / NCEI and CIRES-CU Boulder space physicist with 25+ publications, NASA / NSF grant experience, and operational algorithms for GOES satellite data.

Dr. Paul Loto'aniu

Dr. Paul Loto'aniu

Co-Founder and Chief Scientist

15+ years leading NASA-NOAA space weather instruments, including GOES-R, DSCOVR, SWFO-L1, and a NASA-JPL magnetometer development program.

First Node

First flight node. First owned dataset. First operating layer.

Orbit Axiom is preparing a modular flight node and the data platform around it. We are building toward hosted payload demonstrations, early customer pilots, and lunar follow-on deployments.