Manual due diligence costs €5,000–15,000 per artwork, takes 4–8 weeks, and still leaves gaps. MIRAS gives you patented authentication 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 biometric proof of 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 patented computer vision pipeline generates a unique biometric fingerprint from the artwork’s physical surface — texture, cracks, pigment patterns. Unforgeable.
Patent #1 · 10 claimsTwo scoring engines — ORS (Owner Risk Score, 6 variables) and ARS (Asset & Context Risk Score, 8 variables) — evaluate 14 risk variables. 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 authenticity 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.
Protected by Two Patents
Patented computer vision powered by DINOv2 vision transformers. Two photos (front + back) generate a 384-dimensional visual fingerprint from the artwork’s physical surface. For insurers: proves the insured object and the claimed object are the same physical thing.
The art market’s first computational AML risk model. Two engines — ORS (Owner Risk Score, 6 variables) and ARS (Asset & Context Risk Score, 8 variables) — evaluate 14 risk variables. 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 proves the insured object and the claimed object are the same physical thing. No photographs to dispute. No expert opinions to challenge. Computational proof, patent-protected.
14 variables scored computationally across two engines (ORS + ARS). The output is a number, not a judgment call. Actuarial teams can integrate MIRAS risk scores directly into pricing models via API.
Manual authentication takes 4–8 weeks and costs €5,000–15,000 per artwork. MIRAS delivers authentication, AML 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 physical proof — a biometric 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.