Applied AIConf 2026
- ~400
- attendees
- 31
- talks
- 2
- stages
- 16
- partners
The first edition
May 28, 2026. The Delta Campus, Berlin.
Photos by Max IwertView the full gallery ↗
Speakers
The builders behind the systems. Their roles and talks, as presented at AAC26.

Des Traynor
Co-Founder & CSO · Fin
Shipping Fin to Production: What Worked, What Broke, What Changed

Clara Matos
Director of Applied AI · Sword Health
Beyond Benchmarks: How Evaluations Ensure Safety at Scale in LLM Applications

Stanislas Polu
Co-Founder & CTO · Dust
Building Dust: The Architecture Behind Deploying and Governing Fleets of AI Agents

Ben Smith
Staff Developer Advocate · Stripe
Teaching Agents to Pay: What Devs Need to Know

Danila Shtan
CTO · Nebius
The Shift from AI Models to Agentic Systems

Katia Gil Guzman
Developer Experience · OpenAI
From Engineer to Orchestrator: How Codex changes the way engineers work
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Masashi Beheim
VP Engineering · Parloa
Leading through AI change

Alena Astrakhantseva
Developer Relations · dltHub
Agents now build 10x more data pipelines than developers. Now what?

Nico Bentenrieder
Co-Founder & CTO · Tacto
Procurement Intelligence: When AI Meets Atoms & Bits

Clelia Astra Bertelli
Open Source Engineer · LlamaIndex
The Anatomy of LobsterX, a Document Processing Agent

Neil Zeghidour
CEO & Founder · Gradium
Giving a voice to LLMs: scaling real-time voice interaction

Sabba Keynejad
Co-Founder & CEO · VEED.IO
Reinventing VEED for the agentic era

Lucas Hild
Co-Founder & CTO · Knowunity
Building an AI learning companion: the architecture behind millions of daily interactions

Rachel Nabors
Principal Developer Experience Engineer · Arize
Stop Paying for Frontier Models

Balázs Csomor
Software Developer · Langdock
Cache Money: How Prompt Caching Cut Our LLM Bills in Half

Oğuz Gültepe
Senior AI Engineer · Peec AI
Prompt Learning: Distilling Expensive Reasoning Into Fast Production Prompts

Steffen Hoellinger
Field CTO EMEA · Confluent
Context Engineering and Anomaly Detection for event-driven AI Agents with Apache Flink and Kafka

Lucy Zhang
AI Architect · Modal
Build Your Own Background Agent: The infra that scales it to millions

Bruno Show
Engineering Manager · Choco
Model Routing in Production: What We Learned the Hard Way

Lucia Loher
Product Manager · Google DeepMind
From Caching to Batching to Flex — How to optimize AI system for production

Henry Thompson
Co-Founder & CTO · Conduct
Deploying Context Graphs into the Fortune 500: Lessons Building the Context Layer for Large Enterprise

Giselle van Dongen
Developer Advocate · Restate
Building the Missing Infrastructure Layer for Agents and Distributed Applications

Jakob Emmerling
Staff Software Engineer · Legora
Building a Universal Agent for Legal

Jacek Golebiowski
Co-Founder & CTO · distil labs
The 100x Inference Tax You Don't Have to Pay

Łukasz Sągol
Head of Engineering Products · Miro
AI-Empowered Engineering Through Collaborative Tooling

Osman Ramadan
Co-Founder · CodeWords
From Writing Code to Trusting Code: How AI Flipped the Engineering Bottleneck

Patrick Löber
Member of Technical Staff · Google DeepMind
From Caching to Batching to Flex — How to optimize AI system for production

Marouane Khoukh
Developer Advocate · Nebius
Batch AI Pipelines: How to Go Fast Without Losing Work or Money

Mikhail Rozhkov
Technical Product Manager · Nebius
Batch AI Pipelines: How to Go Fast Without Losing Work or Money

Carl Brenssell
AI and ML Product, Quality and Trust · Slack
Always Be Committing: The Scalable LLM Eval Loop

Simon Edwardsson
Co-Founder & CTO · V7
Building Sandcastles for Agents: Safe Execution at Production Scale

Emmett Fear
Director of Demand Gen · Runpod
Inference Without the Wait: A Live Demo of Instant-On Model Deployment

Sacha Uzan
Founding Team · Linkup
Turning the World into Your Context Window: Rebuilding Web Search to Make AI Reliable in Production
Agenda
One day. Two stages. The original AAC26 programme.

Hosted by
David Asabina ↗
Freelance engineer & tech due diligence advisor for investors and founders
Doors Open · Registration & Coffee
Opening Remarks
The Shift from AI Models to Agentic Systems
Danila Shtan
Building Dust: The Architecture Behind Deploying and Governing Fleets of AI Agents
Stanislas Polu
From Writing Code to Trusting Code: How AI Flipped the Engineering Bottleneck
Osman Ramadan
Beyond Benchmarks: How Evaluations Ensure Safety at Scale in LLM Applications
Clara Matos
Always Be Committing: The Scalable LLM Eval Loop
Carl Brenssell
Coffee Break
Building an AI learning companion: the architecture behind millions of daily interactions
Lucas Hild
The Anatomy of LobsterX, a Document Processing Agent
Clelia Astra Bertelli
Procurement Intelligence: When AI Meets Atoms & Bits
Nico Bentenrieder
Agents now build 10x more data pipelines than developers. Now what?
Alena Astrakhantseva
Context Engineering and Anomaly Detection for event-driven AI Agents with Apache Flink and Kafka
Steffen Hoellinger
From Engineer to Orchestrator: How Codex changes the way engineers work
Katia Gil Guzman
Giving a Voice to LLMs: Scaling Real-Time Voice Interaction
Neil Zeghidour
Stop Paying for Frontier Models
Rachel Nabors
Lunch Break
Building Sandcastles for Agents: Safe Execution at Production Scale
Simon Edwardsson
Teaching Agents to Pay: What Devs Need to Know
Ben Smith
Cache Money: How Prompt Caching Cut Our LLM Bills in Half
Balázs Csomor
Batch AI Pipelines: How to Go Fast Without Losing Work or Money
Marouane Khoukh & Mikhail Rozhkov
Deploying Context Graphs into the Fortune 500: Lessons Building the Context Layer for Large Enterprise
Henry Thompson
Inference Without the Wait: A Live Demo of Instant-On Model Deployment
Emmett Fear
Prompt Learning: Distilling Expensive Reasoning Into Fast Production Prompts
Oğuz Gültepe
Coffee Break
Building a Universal Agent for Legal
Jakob Emmerling
From Caching to Batching to Flex — How to optimize AI system for production
Lucia Loher & Patrick Löber
Reinventing VEED for the agentic era
Sabba Keynejad
The 100x Inference Tax You Don't Have to Pay
Jacek Golebiowski
Leading through AI change
Masashi Beheim
Building the Missing Infrastructure Layer for Agents and Distributed Applications
Giselle van Dongen
Coffee Break
AI-Empowered Engineering Through Collaborative Tooling
Łukasz Sągol
Build Your Own Background Agent: The infra that scales it to millions
Lucy Zhang
Model Routing in Production: What We Learned the Hard Way
Bruno Show
Turning the World into Your Context Window: Rebuilding Web Search to Make AI Reliable in Production
Sacha Uzan
Shipping Fin to Production: What Worked, What Broke, What Changed
Des Traynor
Closing Remarks
Applied AI Week
The conference was one day. The community kept going: meetups, hack nights and conversations across Berlin.
Wednesday, May 27, 2026

09:00 – 18:00
Builders & Brews Berlin — Pre-Event & Ticket Pickup ↗
St. Oberholz

18:00 – 20:00
Build with Agents — Berlin night w/ Modal, dltHub ↗
Techspace Kreuzberg

18:00 – 21:00
Beyond Prompts: Building Agents that actually work ↗
EBCONT, beyond Quartier

18:00 – 21:30
MCP Connect Berlin with N26 & Alpic ↗
Berlin

18:00 – 22:00
Builders Happy Hour ↗
Berlin
Thursday, May 28, 2026
Friday, May 29, 2026
Made possible by
Thank you to the teams who supported the first edition.
Companies attended from
Thank you to everyone who joined us from these teams.
Behind the scenes
FAQ
When and where was AAC26?
The conference took place on May 28, 2026 at The Delta Campus in Berlin. This page preserves the programme and people from that edition.
Who was the conference for?
Engineers, founders and teams building or operating AI systems in production. The programme focused on practical lessons from shipping AI.
Were there two tracks?
Yes. A Main Stage and a Side Stage, with talks and technical sessions running throughout the day. The original schedule is above.
What was Applied AI Week?
The meetups, workshops and community gatherings around the conference, across Berlin from May 27 to May 29, 2026. The archived event listings are above.
Where can I watch the talks?
Find the recordings on the Applied AI Conf YouTube channel. For the next edition, visit AAC27.

























































































