Detect toxic language, hate speech, and profanity in real time across 200+ languages. Lasso's four-layer pipeline classifies harmful text, catches evasion tactics like leet speak and unicode tricks, and uses context-aware AI to distinguish genuine threats from trash talk.
Each returns a confidence score. Known evasion patterns (leet speak, unicode substitution, character spacing) are decoded before classification.
See Lasso in action
Custom word lists for industry-specific terms, profanity thresholds calibrated to your community, and escalation rules per content type. What's acceptable on an adult platform is not acceptable on a children's game. Configured in the dashboard, enforced automatically.
See Lasso in actionUnderstands sarcasm, coded language, trash talk norms, and community-specific slang. The reason Lasso reaches 99% automation.
See Lasso in action
Each decision feeds back into the AI Moderator. Toxicity classification improves over time.
See Lasso in actionCatches leet speak, unicode tricks, character spacing, phonetic substitutions, and symbol replacements designed to bypass text filters. Decodes the evasion before classifying the content.
Distinguishes trash talk from genuine threats, sarcasm from real abuse, and coded language from innocent use. Considers conversation history and community norms.
Classifies hate speech targeting race, religion, gender, sexual orientation, disability, and other protected characteristics. Returns severity and confidence per detection.
Define blocked terms for your platform, region, or industry. Custom word lists work alongside AI models so both known terms and novel variations are caught.
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.
Detection categories include toxicity, severe toxicity, insult, profanity, threat, identity attack, obscene, and hate speech across protected characteristics. Each message returns confidence scores per category. Evasion detection decodes leet speak, unicode tricks, and character spacing before classification. Context-aware AI handles sarcasm, coded language, and community-specific slang.
Detection across multiple evasion techniques: leet speak, unicode substitution, character spacing, phonetic swaps, symbol replacements, and repeated characters. ML models decode known evasion patterns automatically. The AI Moderator adds context-aware detection for novel evasion attempts, including coded language and emerging slang that static filters would miss.
Four sequential layers. ML models handle classification and evasion decoding. Custom rules enforce your platform's profanity lists and toxicity standards. The AI Moderator resolves ambiguous content (sarcasm, coded language, trash talk) with context awareness. Human moderators handle the final edge cases and retrain the system. Result: 99% automation that improves over time.
Yes. The AI Moderator considers conversation context, community norms, and platform type when classifying ambiguous messages. Competitive gaming language, sarcastic comments, and reclaimed terms are evaluated by intent. The same phrase can be harmless in one context and threatening in another. Lasso's context-aware classification handles this distinction automatically.
Yes. Custom word lists let you define blocked terms for your platform, region, and industry. Lists are enforced in the pipeline alongside AI models, so both your defined terms and novel variations are caught. Update lists in the dashboard without code. Different platforms have different standards. A word that's fine in adult entertainment may be blocked on a kids' platform. Custom rules handle this.
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Lasso Moderation
