What is an AI conversation copilot?

An AI conversation copilot is a tool that analyzes your conversations in real time and provides live coaching tips, tone detection, smart suggestions, and actionable insights. Tonvo works during calls on Discord, Zoom, Google Meet, and other platforms to help you communicate more effectively.

Does Tonvo work during live calls?

Yes, Tonvo works in real time during live calls. It captures audio from your microphone and system audio (Discord, Zoom, Meet), transcribes the conversation, and provides instant coaching tips, tone analysis, and smart suggestions while you speak.

How does Tonvo analyze conversations?

Tonvo uses a multi-step AI pipeline: (1) Real-time audio transcription with speaker separation, (2) Tone and emotion detection using Claude AI, (3) Conversation signal detection (objections, opportunities, hesitation), (4) Live coaching suggestions, (5) Quality and engagement scoring. It also analyzes screen content for additional context.

Is Tonvo free to use?

Yes, Tonvo offers a free plan with 3 sessions per month including real-time tone analysis and basic suggestions. The Pro plan at $19/month (or $182/year with 20% off) unlocks unlimited sessions, advanced AI coaching, screen analysis, and full session history.

What languages does Tonvo support?

Tonvo supports 10 languages: English, French, Spanish, German, Portuguese, Italian, Dutch, Chinese, Japanese, and Korean. Both the interface and conversation analysis work across all supported languages with automatic detection.

Is my conversation data secure?

Tonvo takes privacy seriously. All conversation data is encrypted in transit and at rest. Audio is processed in real time and not permanently stored. We never sell or share your data with third parties. See our Privacy Policy for full details.

Can other people see the AI copilot during screen sharing?

Tonvo opens the copilot in a separate browser window. When you share a specific application window (like Discord or Zoom) instead of your entire screen, the copilot window remains invisible to other participants. This makes it perfect for sales calls and interviews.

What is conversation signal detection?

Conversation signal detection is Tonvo's AI feature that identifies key moments during a call: objections from the other person, opportunities to close, hesitation, agreement, and important questions. Each signal is highlighted in real time so you can react immediately.

Feature

Understand Every Conversation with Real-Time Tone and Sentiment Analysis

Tonvo monitors vocal tone, word choice, and cadence to surface sentiment shifts the moment they happen — so you can respond with confidence.

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How It Works

Sentiment Analysis That Keeps Up with the Conversation

Tonvo captures the live audio transcript and runs each utterance through a multi-layer NLP pipeline. The first layer tokenizes speech and evaluates lexical sentiment. The second layer examines phrasing context — sarcasm markers, hedge words, and intensifiers. Results are merged into a composite sentiment score that updates on-screen in near real time, giving you a continuous emotional pulse of the conversation.

Key Benefits

Catch Emotional Shifts Instantly

See when a prospect's enthusiasm drops or a teammate grows frustrated, so you can pivot your approach before the moment passes.

Improve Close Rates

Sales teams using live sentiment data report stronger objection handling and more personalized pitches that resonate with buyers.

Reduce Miscommunication

Tone cues help remote teams avoid misunderstandings that text-only communication often creates, building trust across distributed teams.

Who Uses This Feature

Sales teams tracking prospect engagement during discovery calls
Customer success managers detecting frustration before it escalates
Hiring managers gauging candidate enthusiasm in interviews
Team leads monitoring morale during all-hands meetings

Under the Hood

Multi-Layer NLP Pipeline

Tonvo combines transformer-based sentiment classifiers with rule-based hedge-word detection. The system processes utterances in sliding windows of five seconds, normalizing for speaker pace and filler words. Sentiment scores are smoothed with exponential moving averages to prevent flicker, and the final output is a three-tier classification (positive, neutral, negative) with a continuous confidence percentage.

Frequently Asked Questions

How does Tonvo detect tone in real time?

Tonvo processes the live audio stream using natural language processing models that evaluate word choice, phrasing patterns, and conversational context to classify sentiment as positive, negative, or neutral — updating every few seconds.

Does tone detection work on all supported platforms?

Yes. Real-time tone detection works on Discord, Zoom, and Google Meet. Tonvo listens to the conversation audio regardless of the platform and applies the same sentiment analysis engine.

Can I see a history of tone shifts after the call?

Absolutely. Every tone shift is logged with a timestamp and context snippet. You can review the full sentiment timeline in your post-session analysis dashboard.

Is tone detection accurate for non-native English speakers?

Tonvo's models are trained on diverse speech patterns and accents. While accuracy is highest in English, the system supports 10 languages and continually improves through updated training data.

Related Resources

Use Case

Sales Call Optimization

Feature

Signal Detection

Guide

Guide: Reading Customer Sentiment

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