85% of AML activities in financial services are still manual. Art-backed lending adds another layer of complexity — provenance, sanctions, cultural property laws. MIRAS automates the entire compliance chain in one platform.
The Problem
Each counterparty review costs €1,500–3,500 and takes 31–60 days. For a portfolio of 50 art-backed loans, manual KYC alone can exceed €175,000 per year.
McKinsey (2025) reports that 85% of AML activities in financial institutions remain manual. The global AML compliance spend now exceeds $274 billion per year. Automation is no longer optional.
Generic AML/KYC tools were built for banking, not art. They cannot evaluate provenance depth, cultural property risk, wartime exposure, or artwork-specific transaction patterns. MIRAS can.
The Cost of Manual Compliance
How MIRAS Works for Banks
Visual DNA generates a biometric fingerprint from the artwork’s physical surface. Proves the collateral is the specific physical object claimed — not a copy, reproduction, or substitution.
Patent #1 · 10 claimsTwo independent engines — ORS (Owner Risk Score, 6 variables) and ARS (Asset & Context Risk Score, 8 variables) — evaluate 14 risk variables. Combined score = MAX(ORS, ARS) mapped to four risk bands (Green 0–15 / Yellow 16–35 / Orange 36–55 / Red 56–100).
Patent #2 · 10 claimsAutomated KYC against OFAC, EU/UN sanctions, PEP databases, and corporate registries. Art Loss Register and Interpol checks on the artwork itself. Every gap flagged, every match documented.
goAML-format Suspicious Transaction Reports generated automatically when thresholds are breached. Full audit trail on blockchain. Machine-readable API output (JSON-LD) for integration with your risk systems.
Portfolio Scenario
A private bank managing 50 art-secured lending relationships annually. Manual compliance costs based on verified industry benchmarks.
Savings depend on portfolio complexity and existing compliance infrastructure. MIRAS subscription replaces all four cost lines. Contact us for a tailored comparison.
Built for Compliance Officers
Suspicious Transaction Reports in goAML XML format, generated automatically when risk thresholds are breached. Ready to submit directly to your FIU.
PatentedQuantifies what percentage of an artwork’s ownership history is documented. Automatically flags temporal gaps and sensitive periods (1933–1945).
Correlates authentication signals with financial risk indicators. Published in peer-reviewed research on SSRN (Paper #6584859).
PatentedEvery action recorded on blockchain. Private ledger for confidential data, public anchoring for independent verification. GDPR by Architecture.
Machine-readable output in international standards. Integrate MIRAS risk scores directly into your existing risk management and loan origination systems.
Pre-built compliance workstation covering EU AMLAR, US AMIA, and UK MLR 2017. No regulatory mapping required — it is done for you.
Why MIRAS
Art-specific scoring. Bank-grade audit trail. Multi-jurisdiction ready.
Generic AML tools cannot evaluate provenance depth, wartime exposure, cultural property risk, or artwork-specific transaction patterns. MIRAS can. 14 variables across two computational engines (ORS + ARS), purpose-built for art.
Visual DNA proves the physical collateral is the specific object claimed — not a copy, reproduction, or substitution. Patent-protected biometric fingerprint from the artwork’s surface. Object-level certainty for your loan book.
Pre-built compliance covering EU AMLAR 2024/1624, US Art Market Integrity Act (AMIA), and UK MLR 2017 / HMRC AMP. goAML STR generation. No regulatory mapping required.
Art-backed lending requires art-specific compliance. MIRAS is the only platform that combines physical authentication, provenance scoring, and computational AML in one integrated system — built for the standards banks already meet.
See how MIRAS automates your art-secured lending compliance. Register for early access.