Evasion bypass: H4TE SPE4K flagged as hate speech
Leet speak and character substitution caught by Lasso ML models

Real-time AI text moderation across 200+ languages. Detects harmful content through a four-layer pipeline that automates 99% of decisions.
ML models classify text in real time across toxicity, severe toxicity, insult, profanity, threat, identity attack, and obscene content. Each returns a confidence score. High-confidence violations actioned immediately. Uncertain content moves to the next layer.
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Custom word lists, community-specific thresholds, industry standards. What's acceptable on a gaming platform is not acceptable on a dating app. Configured in the dashboard, enforced in the pipeline.
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Sarcasm, coded language, borderline toxicity, emerging slang. Resolves what rules alone cannot. This layer closes the gap from 80% to 99% automation.
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Remaining edge cases reach your team with full context: the flagged message, AI reasoning, confidence scores, and suggested action. Every human decision retrains the AI Moderator. The system gets smarter the longer you use it.
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Toxicity, hate speech, profanity, threats. Catches evasion tactics: leet speak, unicode tricks, character spacing, phonetic substitutions. Works across 200+ languages.
Flags automated spam, promotional content, and messages designed to redirect users off-platform.
Sentiment scoring for every message. Track community mood, detect escalating toxicity, and monitor conversation health across your platform.
Detect grooming language and CSAM indicators in text. Automatic reporting to authorities when CSAM is identified. Built into the moderation pipeline with zero-tolerance enforcement.
Models trained on your platform's specific context. Gaming slang, dating scam patterns, marketplace fraud language. Your community, your definitions, enforced by AI.
Three layers of AI handle the volume, your rules, and the grey areas. Your team only sees what truly needs them, and every decision they make improves the system.
Customizable moderation that lets you find the right balance between safety and user experience. So you protect your community without suppressing the culture that makes it worth joining.
One API. Clear dashboards. A moderation pipeline built around one-click actions and the right context, right where you need it.






200+ languages with automatic language detection. Supports Latin, Cyrillic, CJK, Arabic, and other script families. Each language includes toxicity, hate speech, profanity, and spam detection.
Detection across multiple evasion techniques: leet speak, unicode substitution, character spacing, phonetic swaps, and symbol replacements. The AI Moderator adds context-aware detection for novel evasion attempts that pattern matching alone would miss.
Four sequential layers. ML models handle high-confidence classification. Custom rules enforce your platform standards. The AI Moderator resolves ambiguous content with context awareness. Human moderators handle the final edge cases and retrain the system. Result: 99% automation.
Yes. AI models detect grooming language patterns and CSAM indicators. CSAM detections trigger automatic reporting to authorities. Detection is based on behavioral patterns in conversation, not only keyword matching. Zero-tolerance enforcement is built into the pipeline.
Yes. Custom models are trained on your platform's specific context and community norms. A gaming community has different language patterns than a marketplace or dating app. Models improve continuously as human moderators make decisions on edge cases.
Most text moderation tools run AI then send flags to humans. Lasso adds custom rules and an AI Moderator between detection and human review. Full platform included: dashboard, queues, analytics.
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