Coverage universe

12,138 orbital assets. 82 operators. One connected risk view.

Coverage spans LEO, MEO, GEO and cislunar regimes across commercial, government-backed and hybrid operators.

SarynSpace maps physical assets to the operators and financing entities behind them, combining structural asset risk with forward-looking credit intelligence.

From asset to exposure
01
Asset
SIGMA structural risk
12,138
02
Operator
ALPHA borrower credit risk
82
03
Financing entity
Facilities, issuance, maturities
·
04
Institutional exposure
Underwriting and monitoring
·
12,138
Assets structurally scored
82
Operators mapped
1 / 3 / 5yr
Credit horizons
Continuous
Orbital and financial updates
01Asset layer

SIGMA measures structural asset risk.

SIGMA evaluates the physical and external risk characteristics of the asset.

01Orbital environment
02Asset reliability
03Mission and deployment
04Lifecycle
05Regulatory exposure
06Operational resilience
07External dependencies
SIGMA risk distribution
Low
1,622
Moderate
10,504
High
9
Critical
3

SIGMA bands describe structural asset risk. They are not borrower credit ratings and should not be interpreted as default probabilities.

Orbit coverage
RegimePrimary asset typesAssets
LEO, excluding SSOCommunications, IoT, constellations9,839
SSOEarth observation, SAR, analytics1,165
MEONavigation, broadband551
GEOBroadcast, broadband, fixed satellite services580
CislunarScience and deep-space missions3

SSO is a subset of LEO by altitude. The two rows are reported separately and do not overlap, so the regime counts sum to the 12,138 assets in the scored universe.

02Operator layer

ALPHA estimates borrower credit risk.

SarynSpace maps SIGMA asset signals to the relevant operator or financing entity. ALPHA combines those structural-risk signals with borrower and financing information to estimate forward-looking credit risk across 1, 3 and 5-year horizons.

82
Operators mapped
CommercialSovereign-backedGrowth-stageInfrastructure operators
01Financial condition
02Debt and liquidity
03Financing structure
04Revenue resilience
05Regulatory dependencies
06Relevant external factors

ALPHA accounts for material differences between operator and financing characteristics rather than applying one generic credit template across the sector.

Detailed segmentation methodology is available under NDA.

Illustrative platform output
Illustrative caseOrbitSIGMAALPHA 1yr PDCredit trendData quality
Established GEO operatorGEOLow2.1%StableHigh
Growth LEO operatorLEOModerate5.8%WatchHigh
Sovereign-backed MEO operatorMEOLow1.4%StableMedium

Company-level assessments are available inside the platform.

03Financing layer

From assets to financing exposure.

Coverage increasingly includes the financing information that connects the 12,138 assets to the emerging space credit market.

01Debt facilities
02Bond issuance
03Debt maturities
04ECA and DFI support
05Refinancing requirements
06Financing counterparties
07Covenant and liquidity information
04Data quality

Every output shows the quality of the underlying evidence.

Data quality is assessed per source and carried through to every output.

01Source quality
02Recency
03Completeness
04Cross-source consistency

Lower-quality observations are flagged for review before inclusion in institutional portfolio outputs.

Detailed confidence methodology is available under NDA.

05Coverage completeness

What is covered today.

All 12,138 assets in the current scored universe carry a SIGMA structural-risk assessment and are mapped to the relevant operator where identifiable. ALPHA produces credit assessments at the operator or financing-entity level across 1, 3 and 5-year horizons.

The platform maintains historical model outputs, source provenance and data-quality indicators to support monitoring and model validation.

Explore a borrower, operator or portfolio.

See how SarynSpace connects the physical asset base to the financing risk behind it.

Request a Demonstration