Orbital Assets provides a credit analytics platform for space‑based lending, delivering audit‑ready risk assessments that align with IFRS 9 and Basel III/IV standards.
Funding
Funding not disclosed
Founders
Product
Problem
Space‑based lenders lack standardized credit metrics, making it difficult to price, structure, and covenant loans for satellite operators. The absence of audit‑ready risk assessments that align with IFRS 9 and Basel III/IV hampers institutional underwriting and capital allocation for orbital infrastructure projects.
Solution
Orbital Assets delivers a live credit analytics platform (SFIS®) that generates audit‑ready probability‑of‑default (PD) forecasts for individual satellites and operators across 1‑, 3‑ and 5‑year horizons. The platform combines a SIGMA engine, which produces a seven‑component multiplicative score covering orbital mechanics, propulsion, power, communications, operator capacity, regulatory posture, and sovereign exposure, with an ALPHA engine that applies hierarchical Bayesian inference and model averaging to estimate PDs despite sparse default data. Outputs are mapped to IFRS 9 stage classifications and Basel III/IV risk‑weight frameworks, enabling structured‑finance ready analytics such as concentration risk, correlated failure scenarios, and tranche‑level PD attribution. Continuous telemetry updates and scenario‑stress modules allow lenders to monitor asset health, adjust risk weights, and meet regulatory model‑risk documentation requirements.
Target Audience
Primary customers are project‑finance lenders, private credit funds, infrastructure investors, export credit agencies, and other institutional lenders that underwrite satellite operators and orbital infrastructure assets.
Features
- SIGMA Engine: seven‑factor multiplicative scoring of orbital, technical, operational, regulatory, and sovereign risk dimensions
- ALPHA Engine: hierarchical Bayesian PD estimation with Beta‑Binomial priors, Bayesian Model Averaging, and online updating as new telemetry arrives
- Portfolio Layer: operator‑level aggregation, concentration risk flagging, correlated failure scenario analysis, and SPV‑level tranche PD attribution
- Audit‑ready outputs aligned to IFRS 9 Stage classification and Basel III/IV risk‑weight frameworks, supporting RWA, ECL, and Solvency II calculations
- Real‑time data confidence metrics and back‑tested performance (Recall 1.00, F1 0.95) across 12,129 assets and 82 operators
- Stress and scenario analysis modules for debris, regulatory, sovereign, and constellation‑cascade events
- API and dashboard access for institutional lenders, insurers, export credit agencies, and infrastructure investors