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.
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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 actionIt reads sarcasm, coded language, trash-talk norms, and community-specific slang. This context handling is what pushes Lasso to 99.9% 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.
Reads conversation history and community norms before scoring, so a heated gaming insult and a genuine threat in a dating DM land at different severities.
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 carry the volume and your rules, then surface only the grey areas. Your team sees what needs a human, and each call sharpens the models.
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.
Lasso automates around 99.9% of moderation decisions. ML models classify each message with a confidence score, custom rules enforce your thresholds, and the AI Moderator resolves the ambiguous cases. The edge cases that remain go to human reviewers with full context, and every decision they make retrains the models.
Detection works across 200+ languages, so toxic language, hate speech, and profanity are caught in the languages your community actually uses, not only English. Evasion handling like leet speak, unicode tricks, and character spacing applies across those languages too.
Yes. Messages are classified inline as they are posted, so toxic content can be blocked or flagged before other users see it. The same real-time pipeline runs custom rules and the AI Moderator, with only genuine edge cases routed to human review.
A standalone profanity filter matches words and misses evasion and context, flagging trash talk while missing a coded threat. Lasso adds three layers on top of ML classification: your custom rules, a context-aware AI Moderator that reads conversation history and community norms, and human review for edge cases. It is a platform with an API and a dashboard, not a single classifier you have to build around.
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: 99.9% 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
