Co-founder project · Analytics
ZenDash
AI summaries and a chat layer over live marketing metrics.
- Built by
- Muhammad Zubair, Sortup co-founder
- Sector
- Analytics
- Stack
- LangChain
- OpenAI
- Client
- A marketing analytics company.
- Engagement
- Zubair built the AI analytics features: recommendations and a chat-style summary layer.
Proof you can open
The challenge
Dashboards show numbers, but teams still need help with what changed and why. Large, fast-changing data is a poor fit for document retrieval.
The solution
A recommendation and summary layer built with LangChain and OpenAI that works on live metrics directly instead of retrieving from static documents.
The impact
- Plain-language summaries of what changed.
- Recommendations generated from live metrics.
- Built for data that changes every day.
Building something like ZenDash?
No pitch deck. An engineer, and a straight answer.