Methodology

Total Asset Score (TAS)

Arctura combines four risk pillars into a single A-F rating. Like a credit rating, but for physical assets. Every score is explainable and traceable.

Four pillars. One truth.

TAS combines data from four dimensions into a weighted composite score.

40%
25%
20%
15%
Battery Health
Usage & Behavior
Contractual & Market
Environment & Compliance
40%

Battery Health

Pillar
Components

SoH trajectory, degradation model, charging history, temperature anomalies

Data Sources

OEM telematics, BMS data, charging station data

ML Model

CatBoost (MAPE 8.64%), Prophet km forecast

25%

Usage & Behavior

Pillar
Components

Km overrun, driving profile, DC fast-charging ratio, seasonal variation

Data Sources

Telematics, GPS, OBD-II

ML Model

Z-score anomaly detection, Prophet km forecast

20%

Contractual & Market

Pillar
Components

RV gap analysis, contract term, brand/model factor, market price delta

Data Sources

Contract data, market APIs, Schwacke/Autovista

ML Model

CatBoost residual value prediction

15%

Environment & Compliance

Pillar
Components

CSRD readiness, ESG scoring, Battery Passport coverage, AFIR compliance

Data Sources

Regulatory registers, corporate data, certificate registry

ML Model

Rule-based scoring + EU deadline weighting

Grading System

The A-F scale represents the total risk profile of an asset. Like a credit rating from S&P.

A
85-100

Excellent. Minimal risk.

B
75-84

Good. Normal monitoring.

C
60-74

Elevated risk. Active monitoring.

D
40-59

High risk. Action needed.

F
0-39

Critical. Immediate intervention.

Machine Learning Models

TAS scoring is a deterministic function. ML models enrich predictions.

8.64%
MAPE — CatBoost RV

Residual value prediction: 2,555 data points, 15 features. Industry standard is ±15-25%.

Prophet
Mileage Forecast

Meta Prophet time-series model predicts contract-period mileage and identifies overruns 3-6 months in advance.

Z-score
Anomaly Detection

Real-time anomaly detection in temperature, charging patterns, and usage profiles versus fleet averages.

Data Sources

Arctura combines data streams into a single unified view via iPaaS integration.

OEM

OEM API

Direct connection to manufacturers (BMW, Volvo, Tesla). SoH, charging, km.

iPaaS

Frends iPaaS

Enterprise integration platform. 95% of Finnish leasing companies.

FIN

Digitraffic

525 weather stations, road cameras, traffic data in real-time.

€/kWh

Spot-hinta.fi

Nord Pool electricity spot prices. Optimal charging timing.

EU Regulatory Readiness

TAS methodology is designed to meet EU regulatory requirements. All data stays in the EU.

  • Battery Passport18.2.2027

    EU 2023/1542 — Digital Product Passport

  • NIS231.3.2026

    Cybersecurity directive — audit trail

  • AFIR14.4.2026

    Charging infrastructure — data requirements

  • AI Act2.8.2026

    Annex IV — explainability requirement

  • CSRD2026

    Sustainability reporting — Scope 3 emissions

Infrastructure

ComputeGKE Hamina, Finland (europe-north1)
DatabaseSupabase EU (eu-west-1, Ireland)
AnalyticsBigQuery EU (EU multi-region)
AuthSHA-256 + HMAC-SHA256 JWT
RLS100% of tables (78/78)
WAF11 rules, rate limiting
AI SovereigntyEU-only or Global, selectable

See TAS with your own data.

Start a pilot and see the value Arctura delivers for your fleet.

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