Two integrated engines. One institutional output.
All outputs are audit-ready and mapped to IFRS 9 Stage classification and Basel III/IV risk weight frameworks.
Multidimensional Risk Quantification
Seven-component scoring across orbital mechanics, propulsion margins, power system degradation, communications architecture, operator capacity, regulatory posture, and sovereign dependency exposure.
Non-Financial CovariatesBayesian PD Estimation
A Bayesian probability-of-default engine: calibrated priors for sparse-history assets, operator-class pooling, model ensembling, and sequential updating as new telemetry arrives.
Sparse Default CorrectionPortfolio-Level Analytics
Operator-level aggregation, concentration risk flagging, correlated failure scenario analysis across constellation structures, and SPV-level tranche PD attribution for structured finance transactions.
Structured Finance ReadyProject Finance & Infrastructure Debt
Risk-weight calibration, IFRS 9 Stage allocation, and covenant trigger design for satellite-backed debt facilities and export finance structures.
Private Credit & Debt Funds
Direct-lending and infrastructure-credit platforms underwriting satellite operators with PD term structures, survival curves, and Basel III-aligned outputs.
Infrastructure Investors
Portfolio construction, SPV due diligence, and tranche-level risk attribution for satellite-backed infrastructure funds and project finance vehicles.
ECAs & Public-Sector Lenders
Sovereign-overlaid PD on foreign satellite buyers, long-tenor survival curves matched to OECD Arrangement maturities, and risk inputs for EIB, KfW IPEX, and DFI mandates.
“Space assets are structurally compatible with debt financing. They remain unbankable because no standardized credit risk framework exists. SarynSpace closes that gap.”


