Melodi provides real-time analytics tools specifically designed for generative AI products, enabling product teams to track user engagement and model performance through conversation analysis. By offering insights into customer behavior and feedback, Melodi helps teams identify areas for improvement, enhancing user experience and trust in AI applications.
Funding
Funding not disclosed
Founders
Product
Problem
Generative AI product teams often lack specialized analytics tools to deeply understand user engagement and model performance within conversational interfaces. Traditional product analytics, focused on screen-based clicks, fail to capture the nuances of user behavior in AI-driven conversations, hindering product improvement and trust-building.
Solution
Melodi offers real-time analytics designed specifically for generative AI products, providing product teams with insights into user engagement and model performance through conversation analysis. By tracking trends in user behavior across high volumes of diverse conversations, Melodi helps teams understand how customers are using their AI agents and where they are getting stuck. The platform enables teams to identify and resolve poor user experiences, connect product changes to usage increases, and surface critical datasets for custom testing and fine-tuning. Melodi's analytics can be integrated in under 30 minutes using Python and Typescript SDKs or a direct API.
Target Audience
Melodi is designed for generative AI product teams focused on improving user experience and building trust in their AI applications.
Features
- Real-time conversation analytics to understand customer behavior in production.
- Automated conversation analysis to identify user intent and pain points.
- User satisfaction scoring to pinpoint areas for improvement.
- Python and Typescript SDKs for quick integration.
- API for direct thread submission.
- Secure access with 2FA.
- Enterprise plan with custom configurations and dedicated support.