AI-Powered

Audio

Moderation

Intelligent audio monitoring: Go beyond speech-to-text to understand true intent. Sophisticated real-time protection for global, multilingual communities.

Support the Various Risky Content Detection

Exhaustive coverage across seven core linguistic risk categories using hyper-specific detection vectors.

Sexual

Flag explicit dialogue, erotic audio, and vulgarity. Detect suggestive breathing, moaning, and illicit rhythmic chanting (Hanmai) through acoustic analysis.

Prohibited Goods

Real-time identification of audio promoting narcotics, gambling, contraband, and unauthorized transactions.

Hate Speech

Recognize harassment, slander, and toxic behaviors to safeguar user well-being.

Spam

Detect unauthorized audio advertisements and attempts to divert users via external contact information.

Support Audio Recognition in Multiple Scenarios

Core Features

Multi-Layered Hybrid Model Fusion

To eliminate the inherent limitations of single-algorithm systems, we integrate a diverse stack of advanced architectures, including GAN (Generative Adversarial Networks), TDNN (Time Delay Neural Networks), LSTM, and RNN. This high-efficiency ensemble framework ensures ultra-high precision and robust performance in the most complex acoustic environments.

Internationalized Cross-Lingual Detection

Built for your global expansion. Our engine features native support for a vast array of international languages, enabling precise identification of risks delivered in English and other major global languages. Whether it's localized slang or cross-border interactions, our system keeps your global GTM strategyang or cross-border interactions, our system ensuresyour global GTM strategy remains compliant and secure.

Holistic Analysis of Verbal& Non-Verbal Cues

We go beyond simple speech-to-text (ASR). Our engine provides 360° coverage by recognizing non-verbal risks such as suggestive moaning, erotic breathing, and other acoustic violations. Furthermore, we offer advanced Voiceprint Recognition and Timbre Analysis, allowing you to identify recurring offenders and manage user identities at a biometric level.