Facial expression, vocal tone, and language synchronized on a shared timeline, enabling cross-modality analysis.
Data science for human signals.
We analyze how people communicate and interact — expression, voice, language, and online interaction — and produce structured data from it.
Communication patterns, tonal shifts, and audience dynamics tracked across speakers and time.
Discourse, sentiment, and interaction patterns extracted from social platforms, forums, and online communities.
Analysis pipelines built for specific datasets and questions — research, editorial, or commercial.
Visual Cue Lab is a data science studio focused on human signals — how people communicate through expression, voice, language, and interaction. We work across recorded media and online platforms, analyzing everything from emotional dynamics in video to discourse patterns in social threads.
We produce structured, source-linked datasets for research groups, media organizations, policy teams, and product builders.
Cue Engine
Our analysis engine for video and text-based media. Computer vision, speech emotion recognition, and language models produce time-aligned, source-linked annotations — from frame-level emotion labels to thread-level topic maps.
Computer Vision
Speech Analysis
Language Models
ML
Pipelines
NLP
Sentiment
Cloud
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- Media & Editorial
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