Manual due diligence costs €5,000–15,000 per artwork, takes 4–8 weeks, and still leaves gaps. MIRAS gives you a verifiable digital identity and quantified risk scores — in a single platform, at a fraction of the cost.
The Problem
41% of insurers report rising fraud claims on fine art policies. Without a verifiable digital identity, you are underwriting a photograph and a paper certificate — not the physical object.
Authentication alone costs €1,500–15,000 per work. Add KYC (€1,500–3,500 per review), AML checks, and provenance research. A single policy can require 4–8 weeks of manual work before you can even quote.
Post-claim disputes rely on photographs, paper provenance, and expert opinion. There is no computational, independently verifiable proof that the claimed object and the insured object are the same physical thing.
The Cost of the Status Quo
How MIRAS Works for Insurers
Two photographs from a standard smartphone. The computer vision pipeline generates a digital visual fingerprint from the artwork’s physical surface — texture, cracks, pigment patterns — giving the work a verifiable digital identity.
Patent #1 · 10 claimsThe Artwork Risk Score (ARS, 8 variables) evaluates the work and its context today; a planned Owner Risk Score (ORS, 6 variables) will add counterparty risk. Combined score = MAX(ORS, ARS) with four risk bands (Green 0–15 / Yellow 16–35 / Orange 36–55 / Red 56–100).
Patent #2 · 10 claimsAutomated checks against OFAC, EU/UN sanctions lists, Art Loss Register, and Interpol stolen works database. Provenance gaps and wartime-period exposures (1933–1945) flagged automatically.
A structured compliance report documenting identity verification, provenance depth, risk scoring, and screening results. Machine-readable (JSON-LD) for integration with your actuarial systems via API.
Portfolio Scenario
A mid-size fine art insurer processing 20 new policies annually. Manual costs based on verified industry data.
Savings depend on artwork complexity and existing vendor contracts. MIRAS subscription pricing replaces all four cost lines above. Contact us for a customised cost comparison.
Two Patents Filed
Computer vision powered by DINOv2 vision transformers. Two photos (front + back) generate a 384-dimensional digital visual fingerprint from the artwork’s physical surface. For insurers: a verifiable digital identity for the insured object, with same-object re-identification planned.
A computational AML risk model built for the art market. The Artwork Risk Score (ARS, 8 variables) evaluates the work and its context today, with a planned Owner Risk Score (ORS, 6 variables) for counterparty risk. Combined score = MAX(ORS, ARS) with four risk bands. For insurers: quantifies compliance risk before you underwrite.
Why MIRAS
Quantified risk. Patented proof. Audit-ready output.
Visual DNA gives the insured object a verifiable digital identity — a digital visual fingerprint from its surface. Same-object re-identification is planned, to confirm the insured object at claim time. Computational, not photographs and opinions.
The Artwork Risk Score is computed across 8 variables today, with Owner Risk scoring planned. The output is a number, not a judgment call. Actuarial teams can integrate MIRAS risk scores directly into pricing models via API.
Manual due diligence takes 4–8 weeks and costs €5,000–15,000 per artwork. MIRAS delivers a verifiable identity, AML risk scoring, and a compliance report in minutes. The savings are 64–84% on cost, 85–97% on time.
You insure physical objects. MIRAS gives you a verifiable identity — a digital visual fingerprint from the artwork’s surface, a quantified risk score, and an audit-ready report. All before you write the policy.
See how MIRAS transforms your underwriting workflow. Register for early access.