Product Introduction
- Convo is a real-time AI meeting assistant that analyzes live conversations during calls and provides instant contextual suggestions to guide user responses. It operates by transcribing audio directly from the user’s device, processing speech patterns, and surfacing relevant talking points without requiring integrations or meeting bots.
- The core value lies in eliminating conversational friction during critical interactions by delivering AI-generated cues, key participant details, and historical context precisely when needed. It enhances meeting outcomes through real-time decision support while maintaining natural dialogue flow across sales, customer success, and recruiting scenarios.
Main Features
- Convo provides real-time response suggestions within 5 seconds by analyzing live audio streams using NLP models optimized for low-latency processing. It displays contextually relevant phrases like objection handlers or probing questions directly on the user’s screen during active conversations.
- The AI maintains a persistent context memory that cross-references current discussions with prior meeting transcripts, documented budget constraints, and historical negotiation points specific to each participant. This enables continuity across multiple interactions without manual data input.
- Privacy is enforced through on-device audio processing and end-to-end encryption, with meeting data stored only after explicit user consent. The system is SOC 2 compliant and operates locally on macOS devices, ensuring no third-party access to raw conversation data.
Problems Solved
- Convo addresses the challenge of mental fatigue during high-stakes meetings by reducing cognitive load through automated context recall and tactical speaking prompts. It prevents missed opportunities caused by forgotten details or unplanned conversational detours.
- The product targets customer-facing professionals in sales, customer success, and recruiting roles who require real-time support during complex negotiations, discovery calls, or technical discussions.
- Typical use cases include responding to unexpected pricing objections in sales demos, addressing recurring client concerns flagged in previous meetings, and guiding interviewers through structured candidate assessments without breaking rapport.
Unique Advantages
- Unlike post-meeting analysis tools like Gong or Fireflies, Convo provides interventions during live conversations rather than offering retrospective feedback. This enables immediate course correction rather than after-the-fact learning.
- The AI uses proprietary context-chaining algorithms to map current dialogue threads to past interactions, automatically surfacing relevant historical data points without manual tagging. This differs from static CRM integrations requiring manual data entry.
- Competitive differentiation stems from platform-agnostic operation via direct macOS audio capture, eliminating dependency on specific conferencing apps or API integrations. Users retain full control over data storage locations and retention policies.
Frequently Asked Questions (FAQ)
- How does Convo protect my conversation privacy? Convo processes audio locally on your device using AES-256 encryption and never transmits raw data to external servers. Meeting transcripts are stored only after user approval, with enterprise-grade access controls for team deployments.
- Does Convo work with my existing meeting platforms? Yes, it captures system-level audio from any conferencing tool (Zoom, Teams, Webex) or direct calls on macOS without requiring API keys or bot invitations. The AI analyzes audio streams regardless of the source application.
- How fast are the suggestions during live calls? Suggestions appear within 3-5 seconds via optimized inference engines that prioritize low-latency response generation. The AI skips full transcription cycles to deliver abbreviated yet contextually accurate prompts in real time.
