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.

Highest
Battery Health
Significant
Usage & Behavior
Important
Contractual & Market
Complementary
Environment & Compliance

Battery Health

Pillar
Components

SoH trajectory, degradation model, charging history, temperature anomalies

Data Sources

OEM telematics, BMS data, charging station data

ML Model

Gradient boosting prediction models, time series forecasting

Usage & Behavior

Pillar
Components

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

Data Sources

Telematics, GPS, OBD-II

ML Model

Statistical anomaly detection, time series forecasting

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

ML-based residual value prediction

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
Best

Excellent. Minimal risk.

B
Good

Good. Normal monitoring.

C
Elevated

Elevated risk. Active monitoring.

D
High

High risk. Action needed.

F
Critical

Critical. Immediate intervention.

Machine Learning Models

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

ML
Residual Value

Gradient boosting model predicts residual value from thousands of data points. Accuracy significantly exceeds industry standard.

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, Tesla, Polestar and others). 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

  • NIS2In effect

    Cybersecurity directive — first audit deadline 30.6.2026

  • AFIR14.4.2026

    Charging infrastructure — data requirements

  • AI Act2.8.2026

    Annex IV — explainability requirement

  • CSRD2026

    Sustainability reporting — Scope 3 emissions

Infrastructure

ComputeAzure Container Apps, Sweden Central (EU)
DatabaseSupabase EU (eu-west-1, Ireland)
AnalyticsSupabase PostgreSQL (eu-west-1, EU)
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.