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In Progress
AI-Powered Customer Insights Engine
Companies collect vast amounts of customer data but struggle to extract meaningful patterns without dedicated data science teams.
Problem
Small and mid-size businesses collect customer data across CRMs, support tickets, surveys, and social media — but lack the data science expertise to find actionable patterns. Insights remain buried in spreadsheets.
Our Approach
We’re building a generative AI platform that connects to common data sources, uses RAG (Retrieval Augmented Generation) to understand context, and produces natural-language insights with supporting data visualizations.
Current Status
In active development. Core RAG pipeline operational. Natural language query interface functional. Working on automated report generation and anomaly detection.
Next Steps
- Complete automated weekly report generation
- Add data source connectors (HubSpot, Zendesk, Google Analytics)
- Beta program with select businesses
- Prepare for SaaS launch
Technologies
PythonLangChainOpenAI APIRAGNext.jsPostgreSQL