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10 changes: 8 additions & 2 deletions README.md
Original file line number Diff line number Diff line change
Expand Up @@ -53,12 +53,14 @@ Enterprises need:
- Clarity on business terms, like "active customer," "net revenue," or "churn rate"
- User-based permissions and access control

<p align="center">
<img width="920" height="638" alt="without_wren_engine" src="https://github.com/user-attachments/assets/3295dde5-ce41-4e56-a8ad-daff6a0c3459" />
</p>

Natural language alone isn't enough to drive complex workflows across enterprise data systems. You need a layer that interprets intent, maps it to the correct data, applies calculations accurately, and ensures security.

## 🎯 Our Mission

<img src="./misc/mcp_wren_engine.webp">

Wren Engine is on a mission to power the future of MCP clients and AI agents through the Model Context Protocol (MCP) — a new open standard that connects LLMs with tools, databases, and enterprise systems.

As part of the MCP ecosystem, Wren Engine provides a **semantic engine** powered the next generation semantic layer that enables AI agents to access business data with accuracy, context, and governance.
Expand All @@ -72,6 +74,10 @@ We believe the future of enterprise AI lies in **context-aware, composable syste
- 🧠 **Semantic-first**, enabling AI to “understand” your data model and business logic
- 🔐 **Governance-ready**, respecting roles, access controls, and definitions

<p align="center">
<img width="1267" height="705" alt="with_wren_engine" src="https://github.com/user-attachments/assets/3a6531fe-4731-4f21-ae9a-786b219f3c0e" />
</p>

With Wren Engine, you can scale AI adoption across teams — not just with better automation, but with better understanding.

***Check our full article***
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