For Auction Houses & Museums

Enterprise workflows designed for trust, repeatability, and auditability — not black-box scoring.
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High-volume pre-screening

Batch ingestion for incoming consignments. Automatically extract seals and rank by risk.

Evidence-first reporting

Every score is paired with seal crops, similarity evidence, and explainable factors.

Audit trail

Stable report IDs, versioned models, and a consistent rubric for internal review.

Suggested workflow
From intake to catalog decision
  1. Intake: upload images (catalog photos or scans).
  2. AI pre-check: seal detection + similarity scoring.
  3. Triage: route “high risk” to experts first.
  4. Decision: compile evidence into catalog notes or internal records.
Outcome: Faster throughput, consistent documentation, and better expert time allocation.
Integration options
Choose the deployment model that fits your policy
  • Web portal: upload + report download
  • API: integrate with internal catalog systems
  • On-prem: run inference locally (for strict data policies)
  • Batch: nightly scoring + dashboard
Why institutions choose explainable AI
Trust requires reasoning, not only numbers

Consistency

Standardizes first-pass review across teams and locations.

Transparency

Explains which seal features drove the score and the confidence tier.

Scalability

Expands from seals → ukiyo-e publisher marks → lacquer signatures over time.

Next step: We can tailor a pilot for your collection focus (Jakuchū / Edo painting now; ukiyo-e and lacquer next).