GenAI Zürich 2026

Conference Schedule

Experience over 120 sessions across multiple stages at GenAI
Zürich 2026, the European Summit on Applied Generative AI

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Day 1
1 April 2026
Day 2
2 April 2026
Main Stage
Theatersaal
Stage moderator
Moderator & Journalist
@SRF
8:00
Doors Open
9:00-9:05
Opening Remarks
9:05-9:25
Keynote
Keynote
Tech
Tech
Tech
Tech
The Intelligence Bomb. Do We Want to Master or Submit?

Not a single day goes by without a new record investment in the field of artificial intelligence. The unit of measurement is no longer billions, but trillions and beyond. The arms race between tech giants seems limitless – and in any case defies the physical limits of our planet.

AI is infiltrating all areas of human activity at an unimaginable speed. Mastering artificial intelligence is the most significant quantum leap since the advent of the atomic bomb.

Does the future belong to the American and Chinese tech giants? Are Switzerland and Europe doomed to follow and submit?

There is an alternative. Sovereign, collaborative, efficient and ethical.

Giotto.ai seeks to exceed the current capabilities of AI to push the boundaries towards artificial intelligence capable of going beyond memorisation – towards reflection. Giotto.ai is developing technology that stands out for its ability to generalise tasks, solve problems and offer transformative potential for industries and society in general.

Way more efficient than large LLMs and infinitely less energy-and data-intensive, the solution advocated by Giotto.ai is based on two fundamental pillars: sovereignty and efficiency.

- Yes, it is possible to escape the frantic race for resources and infrastructure.
- Yes, it is possible to assert Swiss and European leadership in artificial intelligence that serves society, democracy and humanity.

Switzerland and Europe have all the talent, universities and centres of expertise needed to succeed. Together, let's create networks of investors, developers and conditions to control our own destiny.

Submitting is not an option. We can decide.

9:30-10:05
Physical AI
The Robot Renaissance – When Machines Do Our Jobs

Problem:

Kaufmann argues that humanity stands at a turning point: machines and Generative AI will soon outperform us in many routine and even complex tasks, while our social, economic, and cultural systems are still built around compulsory work and industrial‑age roles of “Homo faber.” Without a new vision, fears of job loss, loss of control, and foreign dominance (China/USA) over AI systems will shape the future instead of our own European values.​

Approach:

Kaufmann reframes robots and Generative AI as tools, like excavators or calculators, without intrinsic power fantasies, and insists we design them to augment humans rather than replace them. He sketches a near future where every person works with several humanoid or software agents that handle routine tasks, enabling humans to focus on uniquely human, hard‑to‑automate activities. He also calls for sovereign Swiss and European AI (e.g., SwissGPT, AlpineAI) to embed local values, privacy, and trust into foundational Generative AI infrastructure.​

Key takeaways:

Generative AI can trigger a shift from “Homo faber” to “Homo gaudens,” freeing people to pursue meaningful work and curiosity instead of mere survival.

A “Eutopia” – a realistic, golden age – is possible if productivity gains from AI are used to reduce compulsory work and secure public finances.

Trust, culture, and data protection will be the decisive “currency” in the global race for AI; Switzerland can lead by building reliable, privacy‑preserving Generative AI systems for governments, hospitals, and universities.

Reachy Mini: Giving a Body to AI
Multimodal Research Lead
@Hugging Face

Large language models can reason, generate code, and hold conversations. But they remain trapped behind screens. If AI is to become truly useful in our daily environments, it needs a body, a presence, and natural ways to interact with us.
In this talk, I’ll present Reachy Mini, an open and developer-friendly robot designed to explore what embodied AI can look like today. I’ll walk through how we are building its core software stack, from multimodal perception to real-time voice interaction, and why voice is emerging as the most natural interface for physical AI. We will look at how speech-to-speech pipelines, local inference, and modular backends allow Reachy Mini to move beyond scripted demos and into responsive, real-world interaction.
You will leave with a clearer understanding of what it takes to give AI a body, why voice-first interfaces matter, and how open tools can accelerate the next generation of interactive robotics.

Demystifying Humanoid Robots & Physical AI
Dr. Jorge Peña Queralta
Co-Founder and CEO
@Binabik.ai
Problem: humanoid robots and Physical AI seem to be coming into our lives any moment. At the same time, adoption beyond pilot projects is scarce. How ready are humanoids to enter our homes and industry? Approach: we will look into how we actually teach AI models to control robot bodies; the strengths and limitations of current methods. How do we ask the right questions to get the most value out of Physical AI today? Key takeaways: identify how to extract the most value of Physical AI and robotics today.
10:05-10:30
Panel
Panel Discussion
Tech
Tech
Tech
Tech
Embodying GenAI
Multimodal Research Lead
@Hugging Face
Dr. Jorge Peña Queralta
Co-Founder and CEO
@Binabik.ai
10:30-11:00
Coffee Break
11:00-11:30
GenAI Tech Stack
Google DeepMind AI Stack for Developers
Developer Experience Lead
@Google DeepMind
The landscape of generative AI is evolving rapidly. In this interactive session, Omar will guide you through the Google DeepMind ecosystem. We will explore the latest advancements in the Gemini family of models, focusing on capabilities and applications like image generation and agentic features. Whether you are looking to integrate open models like Gemma or leverage enterprise-grade APIs, you will leave with a clear understanding of how to start building with state-of-the-art models.

More sessions to be revealed soon...

11:30-12:00
GenAI Solutions
When AI Runs the Campaign: Building a Fully Agentic Marketing Workflow
Generative AI is already transforming marketing, but in most organizations it is still used as a collection of disconnected tools. Campaign production remains slow, fragmented and highly manual. In this talk, Groupe Mutuel and elaboratum share a real world experiment: designing and running a fully agentic marketing campaign workflow. Instead of using AI for isolated tasks, we orchestrated a system of specialized AI agents that collaborate across the entire campaign lifecycle, from briefing and research to content creation, multilingual adaptation, testing and iteration. The approach was applied to a campaign targeting people newly arriving in Switzerland. The system generated and optimized campaign assets across seven languages and multiple channels while incorporating behavioral insights through simulated customer personas. We will present the architecture behind the workflow, how the agents interact and what worked and did not work in practice. Participants will leave with practical insights on how agentic workflows can accelerate campaign production, enable large scale experimentation and shift marketing teams from content producers to campaign orchestrators.
Designing AI That Works With Humans: How Agents Reshape Work
Why do we trust a brand? Not because of the technology it uses, but because it consistently delivers on its promise. As AI becomes embedded in products and decisions, the same principle applies. Many organizations start with copilots and productivity tools. The real transformation happens when companies reshape workflows with AI and agent systems. But with greater autonomy comes a key question: where must humans stay in the loop? This talk explores how agentic workflows can empower people while maintaining accountability and trust and introduces practical design patterns for human-AI collaboration.

More sessions to be revealed soon...

12:00-12:30
GenAI in the Arts: Film Hackathon Finals
Co-hosted by
Framed Futures
12:30-13:30
Lunch
13:30-13:35
Afternoon Opening
13:35-13:55
Keynote
Keynote
Tech
Tech
Tech
Tech
Computer Use: From Knowledge to Autonomous Operations
Generative AI has changed how we interact with computers through language. The next step is AI that can use computers to complete real tasks. In this talk, Caroline Charra, CPO of H Company, shares her vision of this shift: from AI assistants to systems that can understand interfaces, navigate software, and execute real tasks. She will explain what computer use means, how H approaches it differently from other AI solutions, and what it enables in practice. Through concrete examples, the session will show how AI can interact with tools, automate workflows, and augment human work.
14:00-14:30
Enterprise GenAI Transformation
Who Is Accountable for the 10 Million Dollar Bug?
Every enterprise AI coding workflow has the same hidden flaw - when something goes wrong, nobody can explain what humans and AI decided together, why those decisions were made, or who was ultimately responsible for the outcome. At scale, that isn't a developer problem. It's a governance crisis. Andre draws on real-world experience building DOTBOT, an open-source autonomous coding framework that brings genuine engineering discipline to AI-assisted development. Every decision, rationale, and code change - human and AI alike - is captured in version-controlled audit logs. Planning is separated from execution. Ambiguity is escalated to humans before a line of code is written. The result is an AI coding workflow that can actually be reviewed, defended, and governed. You'll leave with three things - a clear model for the accountability gap that unstructured AI development creates at enterprise scale, a set of architectural principles your teams can adopt immediately, and a practical answer to the question regulators, boards, and CTO's are already asking: when your AI ships a critical bug, can you produce a full audit trail of every decision that led there? The $10 million dollar bug isn't hypothetical. The only question is whether your organisation is structured to survive it.

More sessions to be revealed soon...

14:30-15:00
Panel: Process Redesign for AI Integration

More sessions to be revealed soon...

15:00-15:30
Coffee Break
15:30-15:45
Keynote
Keynote
Tech
Tech
Tech
Tech
Ethics of GenAI
So-called «GenAI – more adequately to be named as “GenData-Based Systems (GenDS)” due to its lack of intelligence – creates ethical opportunities and ethical risks. Based on an ethical analysis of the upsides and downsides of so-called “GenAI”, concrete solutions will be developed in this talk enabling us to benefit from the ethical positive and to avoid the ethical negative of GenDS. These options for concrete action include human rights-based data-based systems (HRBDS) and the creation of an International Data-Based Systems Agency (IDA) at the UN. Both concrete proposals enjoy the support, among others, by UN Secretary General António Guterres, His Holiness the Dalai Lama, Pope Francis, Sam Altman, and by an international and interdisciplinary network of experts: www.idaonline.ch
15:45-16:30
GenAI Tech Stack
Search APIs: Letting Agents Browse the Internet
Head of Knowledge Research
@Exa
AI agents need to access the live web — but traditional search wasn't built for them. As autonomous systems move from demos to production, a new infrastructure layer is emerging: search APIs purpose-built for machine consumption. Companies like Exa, Tavily, Brave Search API, and Serper are racing to become the default way agents retrieve, filter, and reason over web-scale information. The two companies you'd expect to dominate this space are actively ceding it. Microsoft retired the Bing Search APIs entirely in August 2025, funnelling customers into Grounding with Bing Search — a tool that only works inside Azure AI Agents. Google offers web access exclusively through Gemini's Grounding with Google Search, not as a standalone API. Both are bundling search tightly with their own model platforms, locking it behind their clouds. For developers building on open or multi-model architectures, neither is an option. This talk maps the competitive landscape, examines what makes a search API "agent-ready" (structured outputs, neural relevance, content retrieval in a single call), and makes the case for Exa — Zurich's newest AI arrival and the only company in this space building its own neural search index from scratch rather than wrapping legacy engines. You'll leave with a clear mental model of who's building what, why the incumbents walked away, and what it means for your agent stack.

More sessions to be revealed soon...

16:30-16:55
Sovereign GenAI: Who Owns the Stack?
No Sovereignty Without Open-Source AI
Business Director Switzerland
@NVIDIA

True AI sovereignty requires open foundations. Closed, foreign-controlled models create dependency — open models deliver transparency, local control, and data sovereignty. This talk makes the case that open-source AI isn't a philosophical preference but a strategic imperative and showcases NVIDIA's latest Nemotron 3 model as a concrete example of how open weights translate into national strength.

More sessions to be revealed soon...

16:55-17:00
The Big Swiss AI Secret
Winning the Digital Sovereignty Race

From generative AI transforming software development to advanced AI systems powering industry, defense, and public services, the mission for Europe is clear: AI sovereignty is no longer a political slogan, it is an economic, technological, and security imperative.

17:00-17:30
Panel
Panel Discussion
Tech
Tech
Tech
Tech
Winning the Digital Sovereignty Race
17:30-18:15
Hackathon Finals & Prize-Giving
18:15-18:20
Closing Remarks
18:20-20:00
Networking & Bar Opens
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