Credit Analytics · Orbital Assets

Space lending has no standard credit framework. We built one.

SarynSpace translates orbital, technical, regulatory and financial risk into institutional credit metrics for lenders, insurers and investors financing space infrastructure.

LEO · MEO · GEO · SSO · Cislunar
Request a Demonstration
SFIS® · Live Platform Metrics
Assets under coverage12,138
Operators monitored82
Backtest Recall1.00
Backtest F10.92
Mean PD (1-year)2.86%
Risk dist. · Critical3 assets
Financial data confidence96.4%
Recent updates
ISS (ZARYA)Stable
STARLINK-5765PD ↑ 2.50%
MOMENTUS-X1PD 34.77%
Ecosystem and infrastructure
The market

The space credit market is emerging.

01

Existing debt

Commercial space operators already rely on bonds, bank debt, export credit and government-supported financing.

02

Institutional capital is expanding

Banks, ECAs and DFIs are increasing financing capacity across satellite, launch and other space infrastructure.

03

Credit infrastructure has not caught up

Technical and orbital risk still sit outside conventional financial models and often require bespoke translation during diligence.

Platform Architecture

Two integrated engines. One institutional output.

Outputs are designed for institutional underwriting, monitoring, expected-loss analysis and model-governance workflows.

01·SIGMA Engine

Multidimensional Risk Quantification

Seven proprietary structural-risk factors covering orbital environment, asset reliability, mission and deployment, lifecycle, regulatory exposure, operational resilience and external dependencies.

Non-Financial Covariates
02·ALPHA Engine

Bayesian PD Estimation

Bayesian methods and complementary predictive models estimate forward-looking borrower credit risk in a sparse-data market, updating as new orbital, technical, regulatory and financial information becomes available.

Sparse Default Correction
03·Portfolio Layer

Portfolio-Level Analytics

Portfolio aggregation, concentration analysis, scenario testing, risk migration and exposure-level monitoring.

Portfolio Monitoring
Sample Output·Illustrative
Illustrative asset A
Anonymised operator  ·  LEO
SIGMA score1.25
PD (1-year)0.75%
PD (3-year)2.23%
PD (5-year)3.69%
Data confidence91.0%
Operational · LowCredit band · Low risk
Illustrative asset B
Anonymised operator  ·  GEO
SIGMA score2.02
PD (1-year)2.40%
PD (3-year)6.90%
PD (5-year)11.20%
Data confidence84.0%
Operational · ModerateCredit band · Elevated risk
Institutional Buyer Segments
[L]

Lenders & ECAs

Underwrite, structure and monitor financing exposure.

[I]

Insurers & reinsurers

Assess asset, operator and portfolio risk.

[C]

Private credit & infrastructure investors

Screen opportunities, compare risk and monitor portfolios.

Operators use SarynSpace for financing readiness and lender-grade reporting.
Institutional Use Cases
Space Credit Monitor

Building the market history.

The SarynSpace Space Credit Monitor tracks disclosed debt, new issuance, refinancing, ECA activity and major credit events across the sector.

Explore the Space Credit Monitor
“Space infrastructure is increasingly financed with institutional capital, but the market still lacks a standard way to translate orbital and technical risk into credit decisions. SarynSpace is building that credit layer.”
SarynSpace  ·  Platform Thesis