AI Methodology

Artmetria uses AI to help users move from impression to structure.

A user may begin with a visual preference, an artwork, an artist, a market signal or a question. The AI layer helps organise this material into clearer language, possible directions, contextual cues and next steps.

This can support aesthetic profiling, artwork reading, artist discovery, market orientation and educational exploration.

The AI is designed to assist interpretation, not to produce definitive truth.

Depending on the feature, Artmetria’s AI layer may help with:

• identifying aesthetic preferences;
• describing visual patterns;
• suggesting artistic filiations or affinities;
• structuring an artwork reading;
• explaining market or category context;
• making complex information easier to understand;
• connecting educational content with artists, segments or questions;
• helping users ask better questions before going further.

These outputs are meant to be starting points for reflection, comparison and research.

Artmetria’s AI does not provide:

• authentication opinions;
• certificates of authenticity;
• condition reports;
• legal advice;
• tax advice;
• financial advice;
• investment recommendations;
• buy, sell or hold instructions;
• guarantees of value;
• definitive expert opinions.

Where a decision has legal, financial, conservation or acquisition consequences, users should consult qualified professionals.

Artmetria may use AI to help create aesthetic profiles.

These profiles describe tendencies in visual preference: light, composition, rhythm, materiality, figuration, abstraction, historical affinity, emotional tone or other perceptual signals.

An aesthetic profile is not a psychological diagnosis, a fixed identity or a closed category. It is a temporary map of how someone looks, refined through interaction and context.

The purpose is to open discovery, not to lock users into a taste label.

AI-assisted recommendations may suggest artists, works, segments or themes that appear related to a user’s profile or query.

These recommendations are exploratory.

They should be understood as paths to investigate, not instructions to follow. A recommendation does not mean that an artwork is suitable for acquisition, undervalued, safe, liquid or likely to appreciate.

Artmetria favours discovery and structured curiosity over automated decision-making.

When AI is used to help read an artwork, it may organise visual, historical, stylistic or contextual observations.

Such analysis may help users notice details, formulate hypotheses, compare influences or understand how an artwork may be situated.

It should not be treated as attribution, authentication, valuation, condition assessment or expert certification.

Artwork analysis should remain connected to direct viewing, documentation, provenance research, specialist review and, where needed, conservation expertise.

Artmetria may use AI to explain market context, but market context is not certainty.

Auction records, visibility, liquidity, institutional attention, geography and category trends can help structure a reading, but they do not determine future value.

Where data is incomplete, uneven or difficult to compare, Artmetria aims to make uncertainty visible rather than hide it.

AI outputs should be read together with source quality, coverage level, confidence indicators and methodological notes when available.

Art is not reducible to data, and expertise is not reducible to automation.

AI can help structure information, but it cannot fully replace looking, experience, specialist knowledge, provenance research, material examination, market relationships or human judgement.

Artmetria’s position is simple: AI should help users see more clearly, not decide for them.

Artmetria’s AI features are intended for educational, analytical and research-oriented use.

Users should treat AI outputs as one layer among others. They should verify important information, compare sources, seek expert advice when appropriate and avoid relying on a single automated output for consequential decisions.

The AI layer helps ask better questions. It does not remove the need to ask them.