Benjamin West — The Raising of Lazarus
Benjamin West · The Raising of Lazarus · 1780 · Art Institute of Chicago

Artmetria

Coming autumn 2026

Sleepers

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.

01
Signals

Visual, regional, taxonomic, and undervaluation-related inputs are normalized to a common scale.

02
Model

A weighted composition yields a latent score, then a bounded probability via a smooth transform.

03
Calibration

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.

Coming autumn 2026Closed beta with partners

At release (autumn 2026), Sleepers is planned by plan: a preview on Free and Light, the full surfaced-lots list on Pro, and direct image scanning against the corpus on Pro+. Outputs are probabilistic and require expert review.