
Artmetria
Coming autumn 2026Sleepers
Sleepers — coming autumn 2026. A module in the making: what follows describes where we're taking it.
A structured analytical surface designed to read catalogue attribution, visual evidence and taxonomic coherence together — and to surface possible undervaluation as a hypothesis to verify, never a verdict.
Painting and drawing only, by design. Sculpture is out of scope here.
What it does
Market discrepancy detection, expressed as probabilities and signals.
Sleepers is built to compare catalogue claims with corpus evidence and explicit negative controls. Outputs are designed for interpretation — not for standalone decision-making.
- Detect potential discrepancies across attribution, image regions, and taxonomy.
- Analyze visual and taxonomic signals with preserved explainability.
- Identify possible undervaluation only as a structured hypothesis with confidence bounds.
How it works
Signals are normalized, weighted, and calibrated — then read with care.
The pipeline produces a mismatch probability, a confidence estimate, and an expected-upside index. Each step is designed to remain inspectable.
Visual, regional, taxonomic, and undervaluation-related inputs are normalized to a common scale.
A weighted composition yields a latent score, then a bounded probability via a smooth transform.
Confidence reflects match dispersion, top-match agreement, and penalty strength from negative examples.
Interpretation
Responsible reading
Artmetria provides structured analytical context. Sleepers does not authenticate works, issue valuations, predict prices, or recommend transactions.
- Outputs are probabilistic and may be wrong; they require expert review when material decisions are at stake.
- Corpus coverage and catalogue quality affect conclusions; gaps in data appear as uncertainty, not silence.
- Expected upside is a relative index within the model, not a forecast of financial return.
Use cases
Where teams use Sleepers
Research triage
Rank candidates where attribution, corpus similarity, and taxonomic paths diverge meaningfully.
Catalogue review
Support specialists who must articulate why a line is coherent — or why it deserves a second look.
Institutional workflow
Attach structured rationale to internal memos without replacing connoisseurship or provenance research.
Status
Coming autumn 2026
Sleepers is in the making. It runs today in closed beta with partners while the discrimination engine is calibrated toward a credible release; interfaces, weights and coverage will keep evolving until then. Every output is a hypothesis to verify, not a verdict.