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README.md

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+emoji: 🍫
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-Edit this `README.md` markdown file to author your organization card.
+<p align="center">
+    <img src="https://raw.githubusercontent.com/ml6team/fondant/main/docs/art/fondant_banner.svg" height="250px"/>
+</p>
+<p align="center">
+    <i>Sweet data-centric foundation model fine-tuning</i>
+    <br>
+    <a href="https://fondant.readthedocs.io/en/stable/"><strong>Explore the docs »</strong></a>
+    <br>
+    <br>
+    <a href="https://discord.gg/HnTdWhydGp"><img alt="Discord" src="https://dcbadge.vercel.app/api/server/HnTdWhydGp?style=flat-square"></a>
+    <a href="https://pypi.org/project/fondant/"><img alt="PyPI version" src="https://img.shields.io/pypi/v/fondant?color=brightgreen&style=flat-square"></a>
+    <a href="https://fondant.readthedocs.io/en/latest/license/"><img alt="License" src="https://img.shields.io/github/license/ml6team/fondant?style=flat-square&color=brightgreen"></a>
+    <a href="https://github.com/ml6team/fondant/actions/workflows/pipeline.yaml"><img alt="GitHub Workflow Status" src="https://img.shields.io/github/actions/workflow/status/ml6team/fondant/pipeline.yaml?style=flat-square"></a>
+    <a href="https://coveralls.io/github/ml6team/fondant?branch=main"><img alt="Coveralls" src="https://img.shields.io/coverallsCoverage/github/ml6team/fondant?style=flat-square"></a>
+</p>
+
+---
+**Fondant helps you create high quality datasets to train or fine-tune foundation models such as:**
+
+- 🎨 Stable Diffusion  
+- 📄 GPT-like Large Language Models (LLMs)  
+- 🔎 CLIP  
+- ✂️ Segment Anything (SAM)  
+- ➕ And many more
+
+## 🪤 Why Fondant?
+
+Foundation models simplify inference by solving multiple tasks across modalities with a simple
+prompt-based interface. But what they've gained in the front, they've lost in the back. 
+**These models require enormous amounts of data, moving complexity towards data preparation**, and 
+leaving few parties able to train their own models.
+
+We believe that **innovation is a group effort**, requiring collaboration. While the community has 
+been building and sharing models, everyone is still building their data preparation from scratch.
+**Fondant is the platform where we meet to build and share data preparation workflows.**
+
+Fondant offers a framework to build **composable data preparation pipelines, with reusable 
+components, optimized to handle massive datasets**. Stop building from scratch, and start 
+reusing components to:
+
+- Extend your data with public datasets
+- Generate new modalities using captioning, segmentation, translation, image generation, ...
+- Distill knowledge from existing foundation models
+- Filter out low quality data
+- Deduplicate data
+
+And create high quality datasets to fine-tune your own foundation models.
+
+<p align="right">(<a href="#chocolate_bar-fondant">back to top</a>)</p>