insoundzs GenAI Audio Factory provides customizable AI audio models that enhance communication by isolating speech signals and removing background noise in real time. The platform automates audio production processes, ensuring high-quality sound for various applications, including media, security, and education, while maintaining data privacy through SOC2 compliance.
Funding
$11.4M 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 organizations struggle to maintain high-quality audio in real-time communication and content creation due to background noise, inconsistent audio levels, and the need for specialized audio engineering expertise. Traditional audio processing methods often require manual adjustments and are not scalable for large volumes of audio content or real-time applications.
Solution
insoundz GenAI Audio Factory offers customizable AI audio models that enhance audio quality by isolating speech signals, removing background noise, and automatically mastering audio to meet broadcast standards. The platform automates audio production processes, ensuring consistent, high-quality sound for various applications, including unified communications, media production, consumer electronics, security systems, automotive, and education. insoundz's AI models are self-trained and continuously adapt to evolving audio challenges, improving performance over time. The platform provides flexible integration options optimized for diverse processors and accelerators, and maintains data privacy through SOC2 compliance.
Target Audience
The primary customers are enterprises in unified communications, media and entertainment, consumer electronics, security, automotive, and education industries that require high-quality, real-time audio processing at scale.
Features
- Customizable AI audio models tailored to specific audio challenges
- Real-time voice enhancement to isolate and enhance speech signals
- Automated audio mastering to correct loudness and optimize dynamic EQ
- Noise and echo removal to minimize unwanted background interference
- Audio restoration to improve the quality of compressed audio formats
- Digital watermarking for robust IP protection and identification
- Music removal to extract or remove music from audio tracks
- Sound detection to identify specific audio signals on demand
- Stem separation to remove or extract specific audio elements
- Mean Opinion Score (MOS) monitoring for consistent audio quality
- Support for SDK, File App, RTMP App, and TCP App packages
- Compatibility with CPU, GPU, and NPU processors