

Daytona, Neo4j, Mistral & SGLang AI Builders - Paris, September 2026
Building the AI Stack: Models, Infrastructure, Inference, Agents & Graphs
Official side event of AI Engineer Paris, 2026
AI engineering is moving beyond individual models toward full-stack systems that bring together models, inference, data, and infrastructure. Join Mistral, Neo4j, Daytona, and SGLang for an evening of practical conversations about what it takes to build and run modern AI applications.
We’ll explore the technologies powering the AI stack—from open models and high-performance inference to to secure sandbox infrastructure for AI agents and graph-powered context. Speakers will share real-world approaches, lessons learned, and emerging patterns for building AI applications that are faster, more capable, and easier to develop.
Come hear from the teams building the infrastructure and developer tools behind the next generation of AI—and stick around to connect with other AI engineers, developers, and builders.
Featuring: Mistral · Neo4j · Daytona · SGLang
What we’ll cover:
Building with open and efficient AI models
High-performance inference and serving with SGLang
Secure, scalable infrastructure for AI agents with Daytona
Using graphs to give AI applications richer context and memory
Practical patterns for bringing these pieces together in production
Agenda
🕒 6:30 pm – 7:00 pm
Welcome Gathering and Opening Remarks
🎤 Organizers
🕒 7:00 pm – 7:15 pm
Talk "TBA"
🎤 Talk from Neo4j
Outline:
TBA
🕒 7:15 pm – 7:30 pm
Talk "TBA"
🎤 Talk from Mistral
Outline:
TBA
🕒 7:30 pm – 7:45 pm
Talk "TBA"
🎤 Talk SGLang
Outline:
TBA
🕒 7:45 pm – 8:00 pm
Talk "TBA"
🎤 Talk from Daytona
Outline:
TBA
🕒 8:00 pm - 9:30 pm
Networking
With pizzas and beverages
About event
This is dynamic gathering for AI enthusiasts, innovators, and professionals to collaborate, share ideas, and explore the latest advancements in artificial intelligence. Whether you're building AI products, researching cutting-edge algorithms, or simply passionate about the field, join us to connect, learn, and drive the future of AI forward.