muno is a platform for creating AI agents that conduct voice conversations with teams to gather feedback, run check-ins, and generate insights automatically. It handles the entire workflow from creating agents to analyzing responses.

The platform features natural voice conversations where AI agents speak naturally and respond in real-time, allowing team members to talk at their own pace. Agents can be created in seconds by describing conversations naturally, with AI extracting the structure automatically through voice input or manual typing. The system generates smart topics based on context and timing preferences.

Integrations allow automatic document generation and syncing with tools like Google Docs for summaries, Google Slides for presentations, and Notion for workspace synchronization. Insights tracking provides visibility into response rates, sentiment, and key themes.

Benefits include automating team check-ins, gathering feedback efficiently, and generating actionable insights from conversations. Use cases include conducting Q1 goals check-ins, weekly standups, and project retrospectives.

The product targets teams needing to manage async conversations and improve productivity through AI-powered communication. It integrates with popular productivity tools and provides analytics for tracking conversation metrics.