Powered by AI agents & MCP
Let AI synthesize your customer feedback.
Turn fragmented customer feedback into roadmap intelligence.
How it works
Input Sources
MCP Tools
ML Classification
LLM Synthesis
Dashboard
Chat Follow-up
No account required. Start with demo data or bring your own feedback.
What the synthesis can produce
Every feedback set is distilled into structured roadmap intelligence.
Top pain pointsFeature requestsSentiment overviewRoadmap prioritiesChurn / retention risksRepresentative quotesFollow-up chatbot analysis
Built for Human Users and AI Agents
The standard demo lets product teams synthesize feedback through a web UI. The MCP demo shows the same workflow exposed as agent-callable tools, so an AI agent can create a feedback set, ingest raw feedback, run synthesis, retrieve the analysis bundle, and ask grounded follow-up questions without using the web app.
For technical reviewers: this demo calls the deployed MCP service over Streamable HTTP.