Arctura combines four risk pillars into a single A–F rating for physical assets. Every score is explainable and traceable. The pillars are computed deterministically; ML models enrich the forecasts; the weightings are trade-secret — an approach modeled on how established rating agencies publish their methodology while keeping the underlying weightings proprietary.
Excellent. Minimal risk.
Good. Normal monitoring.
Elevated risk. Active monitoring.
High risk. Action required.
Critical. Immediate intervention.
A gradient-boosting model predicts residual value from thousands of data points. It enriches the Contractual & Market pillar.
A time-series model projects contract-period mileage and flags overruns three to six months ahead. It feeds the Usage & Behaviour pillar.
Continuous deviation detection in temperature, charge pattern and usage profile relative to the fleet mean. It feeds the Battery Health pillar.
A regular model review covers validation discipline, drift monitoring and fairness checks. The exact pillar-weight blend is trade-secret, but the input pillars and validation methodology are auditably transparent.
telematics_telemetry table per partner.A Model-Risk-Management function audits the inputs and the validation methodology — not the proprietary weighting. The same split an established rating agency applies to its own methodology.
The same way an established rating agency does not publish its sovereign-rating weighting formula.
SANDBOXEngine is in sandbox today — no live customers. Grades shown across the site are illustrative.