Galleries & Museums

Can you prove this
provenance is clean?

Paper certificates can be forged. Expert opinions can be challenged. MIRAS gives you a patented biometric fingerprint for every artwork — a computational proof that anyone can verify, from a buyer to a customs officer.

The Problem

Your reputation depends on
every work in your collection

Authentication is expensive and slow

Expert authentication costs €1,500–15,000 per artwork and takes weeks. For a gallery managing hundreds of works, the cost is prohibitive. And the result is an opinion, not a computational proof.

Provenance gaps are hard to find

Wartime-period ownership (1933–1945), Cold War transfers, and colonial-era acquisitions create legal landmines. Most galleries discover gaps only when a claim is filed — too late.

EU AML obligations are coming

AMLAR 2024/1624 requires risk-based due diligence from all art market participants. The EU Anti-Money Laundering Authority (AMLA) became operational in May 2025. Compliance is no longer optional.

Patented Technology

Visual DNA: the artwork’s
biometric fingerprint

Not a photograph. Not a QR code. A computational proof generated from the artwork’s physical surface — texture, cracks, brushstrokes, pigment patterns. Protected by Patent #1 with 18 claims.

Anyone can verify it. A buyer, a journalist, a customs officer. Just photograph the artwork with a smartphone. The system compares the new image against the stored fingerprint using three independent algorithms. Match result in under two seconds.

  • Six photographs from any standard smartphone
  • Three algorithms: DINOv2, pHash, Gabor texture analysis
  • False positive rate below 0.01%
  • Open verification: no special equipment required
How Visual DNA Works
1
Capture 6 high-res photos of the artwork surface
2
Computer vision extracts a 1.5KB biometric fingerprint
3
Fingerprint is hashed and anchored on blockchain
4
Optional NFC chip bonds digital identity to physical object
5
Anyone can re-photograph and verify in under 2 seconds

Automated Provenance Research

Provenance is not a checklist.
It is a risk map.

Provenance Depth Score

A computed ratio of documented ownership years to total years since creation. A 1920s painting with records from 1925–1960 and 1985–present shows a gap of 25 years with a corresponding reduction in score.

Wartime Period Flagging

Ownership changes during 1933–1945 are automatically flagged with elevated risk indicators. Not a presumption of guilt — a transparent signal for further investigation.

10+ External Databases

Automated queries against Art Loss Register, OFAC, EU/UN sanctions, Interpol stolen works, and national cultural heritage registers. Gaps identified. Matches documented. Everything auditable.

EU Compliance Built In

Meet your obligations
without the overhead

AMLAR 2024/1624 requires risk-based due diligence. MIRAS provides the computational scoring and audit trail to meet these requirements.

AML Risk Score for every transaction

26 risk variables scored automatically. Three engines (Client, Artwork, Transaction) produce a composite score. Patented methodology published on SSRN.

KYC & sanctions screening

Every counterparty checked against OFAC, EU, UN sanctions lists, PEP databases, and corporate registries. Automated, documented, repeatable.

Structured compliance reports

Audit-ready documentation combining authentication results, provenance analysis, risk scores, and screening outputs. Ready for regulators and internal review.

GDPR by Architecture

Personal data in encrypted Data Vault, separate from the blockchain. Only cryptographic hashes on-chain. Right to erasure honoured without breaking audit integrity.

Authenticity that speaks
for itself

Join our founding network of galleries and museums. Be among the first institutions to deploy patented authentication and automated provenance research.