The startup develops voice analysis AI technology that interprets non-verbal sounds to extract emotional and contextual information. This technology enables users to gain insights from vocal cues, enhancing communication and understanding in various applications.
Funding
$270K 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.
Founders
Product
Problem
Many environments, such as public spaces, industrial facilities, and even homes, lack effective systems for real-time monitoring and response to critical events signaled by sound. Existing solutions often struggle with accuracy in noisy environments and the ability to differentiate between various types of sounds indicative of emergencies, equipment failures, or other specific situations. This can lead to delayed responses and increased risks to safety and operational efficiency.
Solution
DEEPLY offers Listen AI, a sound AI solution that provides real-time sound analysis for detecting and responding to critical events. Using advanced AI models and signal processing techniques, Listen AI accurately identifies a wide range of sounds, from emergency signals like screams and explosions to machine malfunctions indicated by friction or engine noise. The platform offers customizable solutions tailored to specific environments and needs, including safety monitoring in public spaces, machine condition monitoring in industrial settings, and custom sound detection for unique applications. Listen AI integrates with existing systems through API and SDK support, providing real-time alerts and data-driven insights to improve safety, security, and operational efficiency.
Target Audience
The primary target audience includes organizations and businesses requiring real-time monitoring of environments for safety, security, or operational efficiency, such as public safety agencies, industrial facilities, construction sites, and smart city initiatives.
Features
- Real-time sound analysis and event detection using proprietary AI models.
- High accuracy (up to 98% F1-score) in diverse and noisy environments.
- Customizable solutions for safety monitoring, machine condition monitoring, and specific sound detection.
- Integration with existing systems via API and SDK.
- Real-time alert system with notifications through various channels (KakaoTalk, SMS, email, webhooks).
- Edge, on-premise, and on-device deployment options to suit different infrastructure requirements.
- Noise reduction feature using deep learning models for improved accuracy.
- Privacy protection mode for public spaces, ensuring sensitive data is excluded from analysis.
- Monitoring system with AI real-time analysis configuration management.