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Attention Labs

Attention Labs develops advanced machine learning models focused on optimizing digital advertising performance. The platform uses proprietary algorithms to analyze user attention metrics across various media channels. This results in improved campaign efficiency and higher return on ad spend for advertisers.

Toronto, CanadaFounded 202122700+ followers
Updated 20 months ago

Funding

$702.6K 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.

DSDGFF
Funding rounds are not available yet.

Founders

Founder details are not available yet.

Product

Problem

Hybrid meetings often suffer from audio challenges such as echo, feedback, and difficulty focusing on specific speakers, hindering clear communication between in-person and remote participants. Existing solutions lack the accuracy and contextual awareness needed to effectively manage complex acoustic environments.

Solution

This startup offers smart audio routing technology designed to enhance communication in hybrid environments by providing personalized, crystal-clear audio focus. The technology employs multimodal attention mechanisms to achieve high accuracy in conversational tracking, effectively standardizing the 'Cocktail Party Effect'. It dynamically adapts to room acoustics, prioritizes relevant conversations, and maintains peripheral awareness, enabling natural interaction between in-person and remote participants. The solution eliminates echoes and feedback, facilitating seamless audio routing for breakout sessions and side conversations in various settings, including video conferencing, spatial chat, and location-based VR.

Target Audience

The primary target audience includes professionals and organizations utilizing hybrid meeting spaces, developers of context-aware collaborative agents and robots, and those involved in video conferencing and spatial chat applications.

Features

  • Multimodal attention mechanisms for 95% accuracy in conversational tracking
  • Low-latency sound scene analysis with dynamic parameter adaptation (less than 100ms)
  • Intelligent conversation prioritization with maintained peripheral awareness and 360° coverage
  • Spatial audio processing and 3D positional tracking for mixed reality applications
  • Cross-platform compatibility and adaptive noise cancellation for hybrid-remote calls
  • Real-time voice separation and contextual awareness for agent and robot communications
  • Plugins for major 3D engines and platforms
  • WebRTC native compatibility and dynamic bandwidth optimization
This profile is AI-generated and may contain inaccuracies.