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A-dapt

A-Dapt provides the TestMyWitness platform, which utilizes Emotional AI for witness preparation in the legal sector. This technology analyzes viewer emotion and provides real-time feedback on delivery style, attention, and engagement during practice sessions. The platform helps legal teams improve witness credibility by flagging risk signals and offering structured coaching tools.

Paris, FranceFounded 201910500+ followers
Updated 4 months ago

Funding

$1.6M 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

Traditional methods of gauging user engagement and tailoring content in training and advertising often rely on transmitting biometric data to remote servers, raising privacy concerns and introducing latency issues. This can hinder real-time adaptation and personalization of digital interactions.

Solution

A-dapt Adaptive Media utilizes Edge AI to analyze user emotions and attention levels in real-time, directly on the device, without transmitting biometric data. This approach enables immediate feedback and adaptation of learning pathways or advertising content, enhancing user engagement while ensuring compliance with privacy regulations like GDPR. The technology measures emotional reactions and attention spans, allowing for personalized digital interactions that respond to the user's feelings and level of interest. By processing data locally, A-dapt minimizes latency and maximizes responsiveness, creating a more seamless and effective user experience.

Target Audience

The primary target audience includes companies in training, advertising, law, and HR, seeking to enhance user engagement and personalize digital interactions while adhering to strict privacy standards.

Features

  • Real-time analysis of viewer emotion and attention levels using on-device Edge AI processing.
  • Generative AI text integration to tailor content based on emotional responses.
  • Anonymized reporting to provide insights without compromising individual privacy.
  • Low-latency, immediate response for adaptive content delivery.
  • Multiple analysis layers and functions for comprehensive user behavior assessment.
  • Designed to avoid facial recognition and racial profiling, ensuring reduced bias.
  • Eco-friendly design that reduces carbon footprint by utilizing device CPU for processing.
This profile is AI-generated and may contain inaccuracies.