Azure AI Content Safety
Advanced AI-driven moderation and LLM integrity for safer digital ecosystems.
Real-time proactive voice moderation and community safety powered by emotional AI.
Modulate is the architect behind ToxMod, the world’s only proactive, real-time voice moderation solution designed specifically for the gaming and live-social industry. Unlike traditional reactive tools that rely on user reports, ToxMod utilizes advanced machine learning to analyze the emotional nuance, intent, and context of voice conversations. Its technical architecture is built to distinguish between 'friendly trash talk' and harmful harassment by evaluating acoustic features and linguistic patterns in tandem. In the 2026 market, Modulate has solidified its position as the enterprise standard for platforms complying with global safety regulations like the UK Online Safety Act and the EU Digital Services Act. The system operates via a high-performance SDK that integrates directly into game clients or servers, minimizing latency while maximizing privacy through sophisticated on-device processing capabilities. Its backend provides a comprehensive triage dashboard for moderators, surfacing the most egregious violations instantly to prevent community toxicity from escalating. By focusing on intent rather than just keywords, Modulate enables platforms to scale healthy communities without stifling natural, high-energy interactions.
Uses machine learning to rank incidents by severity, allowing moderators to focus on life-safety issues first.
Advanced AI-driven moderation and LLM integrity for safer digital ecosystems.
Real-time AI-powered toxicity detection and content moderation for digital safety.
The industry standard for real-time AI-generated content detection and multi-modal moderation.
The unified operating system for global trust, safety, and operational risk management.
Verified feedback from the global deployment network.
Post queries, share implementation strategies, and help other users.
Analyzes pitch, volume, and rhythm to distinguish between excitement and genuine aggression.
Identifies high-risk signals related to self-harm or predatory behavior in real-time.
Proprietary models support dozens of languages and regional dialects natively.
Capability to run light-weight inference on the user's hardware to preserve privacy.
Uniform SDK for PC, Console (PlayStation/Xbox), and Mobile (iOS/Android).
Maintains a temporary buffer of audio preceding an alert to provide moderators with full context.
Toxic verbal abuse during high-stakes matches ruining viewer and player experience.
Registry Updated:2/7/2026
Adults attempting to solicit minors in unmoderated virtual rooms.
Moderators overwhelmed by thousands of manual reports, many of which are false.