Solutions · P&C insurers · Recognition layer

An A–F rating for
the variable UBI can’t see.

Per NTT Data’s Insurtech 2025 report, telematics-augmented underwriting is projected to lift pricing accuracy by roughly 20% and cut loss ratios by roughly 15% — a sector-wide estimate for UBI generally, not an Arctura-measured result. UBI reads how a car is driven. Arctura adds an A–F rating for what the asset is — an overlay on top of your UBI and tariff model, not a replacement.

Start a pilotSee a sample rating →
STATUS · SANDBOXengine in sandbox · no live customers · roadmap target Q3/2026
RISK-TIER DISTRIBUTION
Sample · 500 assets
A–F rating · signed JSON · EU-resident
SANDBOX
A+/AA−/B+B/B−C+/CD/F
scopetariff pricing — not Solvency II IM
cadencerefreshable monthly
residencyHetzner Helsinki
Illustrative fixture · not a customer book.
The market context

The numbers are the industry’s, not ours.

Projected market
~$226.5B

global EV-insurance pool by 2030 — external industry projection (GlobeNewswire press release), cited illustratively.

Repair-cost asymmetry
~+33%

EV vs ICE repair in Europe (Insurance Europe) — a sector figure, not an Arctura result.

Pricing-accuracy lift
~+20%

from dynamic telematics / UBI, per NTT Data 2025 — a sector estimate, not an Arctura-measured result.

Loss-ratio lift
~+15%

UBI programs report ~15% loss-ratio improvement + up to 30% retention (NTT Data) — third-party benchmark, not Arctura's.

The pricing gap

ICE-calibrated models can’t see the asset.

What a motor model can’t read

  • Battery degradationA major variable in EV total-loss adjudication, today priced largely on industry assumptions.
  • Cycle-disciplineHow the pack is actually worked — one input into the rating, not a standalone loss predictor.
  • Contract contextLease term, residual exposure, expected mileage. UBI driver-behaviour feeds do not surface this.
  • An empirical referenceIndependent large-scale field studies of high-mileage EVs (analyses covering 7,000+ vehicles up to roughly 300,000 km) indicate most packs still retain over 80% state of health at that mileage — an industry estimate that varies with chemistry, climate and duty cycle.

Why more variables help

  • EV claims behave differentlyFrequency, severity and repair economics differ from 20+ years of ICE-calibrated claims. Models built on ICE data are mis-calibrated for an EV book.
  • Telematics is already mainstreamTelematics-informed underwriting is an established practice in motor insurance — usage-based pricing has been a mainstream European category for years.
  • The asset layer on topIndustry research (NTT Data) projects that UBI underwriting can improve pricing accuracy (~20%), loss ratios (~15%) and retention (~30%) — a sector-wide estimate for UBI generally, not an incremental Arctura claims to add. TAS complements UBI by layering an A–F asset rating on top of the driving-behaviour signal — it reads what the asset is, not just how it’s driven.
Who pays, and who recognises

The insurer is a recognition layer, not a buyer.

For insurers, Arctura is a recognition layer — not a data vendor you buy a feed from. In our commercial model the asset’s operator or fund is the paying party for the A–F rating; an insurer can then recognise that rating in the terms it offers, treating a strong grade as a risk-reducing measure — much as it would reflect any credible risk-reduction evidence in the terms it writes.

Operators & funds
The buyer.

The party that owns the risk-reducing measure commissions and pays for the rating on the fleet it owns or operates. Volume-based pricing scales with portfolio size, agreed per engagement.

Insurers
Recognition.

A strong A–F Arctura rating can support better terms — they are not billed for the data. Better terms are a possible outcome of clearer evidence, never a guarantee.

Lenders
Bankability.

A pre-close grade and degradation envelope on the asset behind the loan, grounded in a validated model — not a spreadsheet assumption.

Pricing is agreed with the operator or fund — see pricing →

What we deliver

Between your UBI vendor and your tariff model.

  • 4-pillar A–F ratingPer asset, refreshable monthly, delivered as signed, EU-resident JSON with the rating's computation audit-trail attached. Sandbox today: live per-asset scoring requires the asset owner/operator's data feed, with the insurer as a recognition layer rather than the buyer or data subscriber.
  • Risk-tier mappingA–F maps onto your actuarial bands. We don't replace your tariff model; we feed it a calibrated input.
  • Cycle-discipline visibilityPillar 1 reflects cycling and duty patterns as one input into the A–F rating, not a standalone loss predictor. Any thermal signal is validated for magnitude only, not as an actuarial predictor.
  • Claim-event record (optional)A timestamped, hash-verifiable record of Arctura's A–F rating as computed at the point of claim. It notarises that rating over the data supplied to us — not the underlying physical measurement, and not independent or court-grade proof of the asset's condition.
  • ICT-provider termsContract terms and incident-reporting designed to align with DORA requirements.
Scoped

Tariff pricing — not a Solvency II internal model.

  • A decision-support inputTAS is positioned as a tariff-pricing input, not a Solvency II internal-model (capital) input.
  • Compliance is the adopter's callTAS is intended as a decision-support input to tariff pricing, not a component of a Solvency II Internal Model. Whether any specific regulatory standard applies is for the adopting insurer's own actuarial and compliance functions to determine.
  • AI Act postureWe plan to publish a self-assessment (targeting Q4/2026) of how Arctura's A–F rating outputs are classified under the AI Act, including any use of those outputs in tariff pricing. This is planned documentation — Arctura is a decision-support rating overlay, not the insurer's pricing model or a regulated credit-rating agency.
  • EU residencyEU-residency proof packet — ISO 27001 roadmap, sub-processor list, data-flow diagram — included in the DD pack.
Objection handlers

Three things underwriters actually ask.

“We already use UBI for motor.”

UBI tells you how the car is driven. TAS tells you what the asset is. Industry research (NTT Data) projects ~20% pricing accuracy, ~15% loss-ratio and ~30% retention gains from UBI generally — a sector estimate, not an incremental Arctura adds. We sit on top of UBI, not against it.

“Solvency II IM requires model explainability.”

TAS is a tariff-pricing input, not a Solvency II internal-model input. Whether a given standard applies is for the adopting insurer's own actuarial and compliance functions to determine. AI Act: a self-assessment is planned (targeting Q4/2026).

“NIS2 makes us a data-fiduciary — what about the load?”

You process the score, not the raw telemetry. EU-sovereign by construction, Hetzner Helsinki residency, ICT-provider terms designed to align with DORA, sub-processor list in the DD pack.

Validation packet

What’s public, and what stays trade-secret.

The scoring methodology and its input pillars are public; the pillar weights and internal accuracy metrics are trade-secret — the same standard a rating agency uses when it does not publish its sovereign-rating weighting formula.

Public — in the DD pack
  • ·Methodology paper (pillars + score-mapping)
  • ·Four input pillars, audit-grade record
  • ·Solvency II scoping note — tariff tier, not IM
  • ·AI Act self-assessment (planned, targeting Q4/2026)
  • ·ICT-provider contract terms aligned to DORA
  • ·ISO 27001 roadmap + sub-processor list
  • ·Roadmap — not yet in place: quarterly model card (drift + fairness review)
  • ·Roadmap — not yet in place: third-party validation with an EU audit firm (planned for Y1)
Trade-secret — never published
  • ·Pillar-weight blend
  • ·Internal accuracy metrics
  • ·Score-mapping formula constants
  • ·Internal cross-validation cohort splits
  • ·Drift-trigger threshold values

Same as a rating agency not publishing its sovereign-rating weighting formula.

Honest pilot timeline

Six to eight weeks, Nordic-realistic.

Pilot — end to end

  1. 01Scoping + NDA · 1–3 days
  2. 02DPA + data-protection review (operator-side · often the longest leg) · 2–3 weeks
  3. 03IT-onboarding + adapter integration · 1–2 weeks
  4. 04Actuarial sandbox + go-live · 2–3 weeks

How a pilot works: an operator or lessor commissions a scoped sample of its assets over six to eight weeks, and Arctura returns an independent A–F rating with a recomputable, hash-verified evidence trail for that rating. Insurers recognise that rating in the terms they offer; they are not billed for a feed.

Target SLA tiers

ROADMAP · NOT YET CONTRACTUALLY OFFERED

Standard availability goal99.5%
Higher availabilityunder enterprise terms as the team scales
Response timesto be defined under enterprise terms
On-call coveragegrows with the team · not yet 24/7

ICT-provider terms and incident-reporting designed to align with DORA. EU-resident.

Sources cited

Drop-in references for insurer DD.

  1. 01Electric Vehicle Insurance — Strategic Business Report, third-party market research syndicated via GlobeNewswire. ~$226.5B global EV-insurance premium pool projected by 2030 — an external industry projection, cited illustratively, not an Arctura-produced figure.
  2. 02Insurance Europe — Motor Annual Report 2023–2024 (EV repair ~33% above ICE).
  3. 03NTT Data — Insurtech Global Outlook 2025 (~20% pricing accuracy, ~15% loss ratio, up to 30% retention — sector estimate for UBI generally).
  4. 04Usage-based / telematics pricing — an established mainstream category among European motor insurers for years.
  5. 05Independent high-mileage EV field studies (7,000+ vehicles up to ~300,000 km) — >80% SoH retention at high mileage, varying with chemistry, climate and duty.
  6. 06OP Pohjola — EV insurance discount mechanics (online + stackable discount).
  7. 07Insurance Europe / national regulators — EV total-loss adjudication practice.
  8. 08Milliman — Cyber threats, insurance and DORA (framework).
  9. 09Sector coverage — dynamic risk-transfer / DPP-at-underwriting concepts.
  10. 10GRIVOLT — EV vs petrol cost, Finland 2026.

The signal telematics-based
UBI can’t see.

An operator or lessor commissions a scoped sample of its assets; Arctura returns an independent A–F rating with a recomputable, hash-verified evidence trail. Insurers recognise the rating — they are not billed for a feed.

Start a pilotSee a sample rating →
SANDBOX