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Mataono

Mataono is a digital coaching platform that captures participants’ facial expressions via webcam, analyzes micro‑expressions to identify basic emotions, and aligns this data with presentation content. It provides real‑time and post‑meeting emotion analytics, highlighting key emotional moments to help sales teams and market researchers improve engagement and material effectiveness.

Dresden, DE,LIFounded 20213700+ followers
Updated 2 months ago

Funding

$953.8K raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.

Funding rounds are not available yet.

Founders

Product

Problem

Sales professionals and market researchers often lack objective insight into how their audience emotionally responds during meetings, presentations, or training sessions, making it difficult to gauge empathy, engagement, and the impact of sales materials.

Solution

Mataono provides a digital coaching platform that captures participants’ facial expressions via webcam, analyzes micro‑expressions using an algorithm based on Paul Ekman’s Facial Action Coding System, and translates them into basic emotions (happiness, surprise, fear, disgust, sadness, anger, neutral). The system synchronizes emotion data with presented materials (e.g., slides) to highlight moments of high or low emotional impact. Users receive an immediate visual emotion graph, key moment identification, and aggregated summaries that reveal patterns across multiple conversations. The platform can operate live during meetings or process uploaded recordings, and integrates directly with Zoom or works as a self‑service web application. All data processing follows a privacy‑by‑design approach, keeping video data local when possible and deleting recordings after analysis.

Target Audience

Primary customers are B2B sales teams and market research professionals who need data‑driven feedback on customer emotional engagement during sales calls, trainings, and product presentations.

Features

  • Real‑time emotion detection from webcam video using micro‑expression analysis based on Ekman’s Facial Action Coding System
  • Automatic alignment of emotion scores with presentation content to pinpoint emotional turning points
  • Live analysis mode with instant post‑meeting reports and a self‑service mode for uploaded recordings
  • Seamless Zoom integration that triggers analysis automatically after calls end
  • Privacy‑by‑design architecture: local processing for live analysis, video deletion after processing, GDPR‑compliant hosting in ISO 27001 certified German data centers
  • Aggregated dashboards showing emotion trends, high/low points, and material effectiveness across multiple sessions
This profile is AI-generated and may contain inaccuracies.