Tisane
Your AI agent uses Tisane to analyze incoming messages for hate speech, cyberbullying, and toxic content across 30+ languages in real time. Beyond moderation, the agent detects sentiment, extracts topics, identifies language, and translates text, making every conversation safer and smarter simultaneously.
Your AI agent processes every message through Tisane's NLP engine, catching problematic content, understanding sentiment, and bridging language barriers in real time.
Tisane
See how businesses use AI agents with Tisane to moderate content, understand customer sentiment, and communicate across language barriers automatically.
A user in your community forum posts a message containing hate speech. Your AI Agent runs the text through Tisane's analysis endpoint, which flags the abusive content with specific abuse type labels. The agent blocks the message from public display and notifies a moderator with the full analysis. Your community stays safe without 24/7 human monitoring.
A Spanish-speaking customer asks a question on your English-only support chat. Your AI Agent detects the language as Spanish via Tisane, translates the message to English for your support team, and translates the response back to Spanish for the customer. The entire exchange happens seamlessly, and neither side notices the language gap.
Customers leave feedback about your product through chat. Your AI Agent analyzes each message with Tisane's aspect-based sentiment analysis, extracting specific topics and their sentiment polarity. Product teams see that pricing sentiment is negative while feature sentiment is positive. This granular insight drives targeted improvements.
Tisane
FAQs
The agent sends incoming text to Tisane's Analyze endpoint with the detected or specified language code. Tisane returns a knowledge graph with abuse indicators including type (hate speech, cyberbullying, sexual advances), severity score, and the specific text spans that triggered detection. The agent acts on these results based on your moderation policy.
Tisane supports 30+ languages for text analysis, content moderation, and sentiment detection. The agent can call the List Supported Languages endpoint to get the current list. New languages are added regularly, and the agent auto-detects language before applying analysis.
Tars requires your Tisane Labs API subscription key, labeled Ocp-Apim-Subscription-Key. You obtain this from your Tisane Labs developer profile and enter it in the Tars tool configuration. No OAuth needed.
No. Text is sent to Tisane's API in real time during conversations. Analysis results are used immediately and not persisted. Your conversation content stays between your platform and Tisane's processing pipeline.
Yes. The Transform endpoint accepts a source and target language. If the source language is unknown, you can use the wildcard character and Tisane auto-detects it. If source and target are the same language, Tisane paraphrases the text instead.
Unlike simple positive/negative scoring, aspect-based sentiment identifies specific topics within text and assigns sentiment to each one separately. The agent receives a vector of sentiment values per topic, so you know customers love your features but dislike your pricing, for example.
Tisane uses sense disambiguation rather than keyword matching. It understands word meanings in context, which reduces false positives significantly. A word that is offensive in one context but innocent in another gets classified correctly. This produces more accurate moderation across diverse conversations.
Yes. The Calculate Similarity endpoint compares two text fragments and returns a score from 0 to 1. The agent uses this to detect duplicate complaints, match incoming questions to FAQ entries, or identify recurring issues across different conversations.
Don't limit your AI Agent to basic conversations. Watch how to configure and add powerful tools making your agent smarter and more functional.
Privacy & Security
At Tars, we take privacy and security very seriously. We are compliant with GDPR, ISO, SOC 2, and HIPAA.
Email - sales@hellotars.com
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