Emotional Intelligence

Capture human nuance across multi-modal signals and turn emotions into actionable insight.

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Capabilities

State-of-the-art accuracy, with every signal linked to the exact underlying data.

Tone + face + diction

Captures multi-modal signals to detect nuanced human emotions that any single signal would miss.

Ekman-based framework

Grounded in the standard used across clinical psychology and UX research, while recognized across cultures.

Fully traceable

This is not a black box – you can see why Listen detected “happiness”, not just that it did.

Per question analysis

Get a side-by-side emotional breakdown across stimuli, segments, and markets.

100+ languages

Designed for global research and localization, with consistent methodology across markets.

Features

Built to capture the human nuance that transcripts alone miss.

Multi-signal emotion detection

Analyzes subconscious micro expressions, tone of voice, and word choice together to identify emotional reactions that transcripts alone miss. Available across 50+ languages.

Research-grounded and fully traceable

Built on Ekman's 6 core emotions, extended with UX research emotions. Every emotion links to the exact timestamp, verbatim quote, and AI reasoning.

Structured for comparison

Emotions are quantified per question and per concept with pre-built visualizations. Filter by segment to compare across markets, demographics, or personas and see which ad made people light up and which one fell flat.