The GenAI Zürich Award Ceremony celebrates the most outstanding contributions in applied generative AI across Europe. Winners are announced live on the Main Stage across five award tracks – Rising Innovators, Impact Achievers, Enterprise Transformers, Community Spotlight, and AI's Choice – each recognizing a different dimension of GenAI excellence, from breakthrough startup innovation to large-scale enterprise transformation and measurable societal impact. In a first for any European AI conference, the AI's Choice award is evaluated entirely by leading foundation models, giving AI itself a decisive voice in recognizing excellence. Projects are scored by an independent jury panel on innovation, impact, scalability, ethical AI practices, and production readiness – ensuring that recognition goes to solutions delivering real-world results, not just promising ideas.

Learn more about the Award: link.

Ethics frameworks for AI are everywhere—but they rarely help people make decisions when designing, procuring, or deploying systems. We're building a platform to change that. It translates complex questions about tech governance, accountability, and risk into structured, searchable guidance that works at the point of decision-making. Rather than abstract principles, it offers practical implementation pathways grounded in peace, security, and human rights contexts. The platform is also designed as a governable knowledge system—modular, traceable, and AI-assisted—so expert guidance stays accessible without losing context. The core insight: responsible innovation needs operational tools, not just better intentions. This talk explores how we're turning ethics into something people can actually use.

Investors across the ecosystem are signing responsible AI commitments, and those commitments are now flowing downstream into term sheets, board expectations, and the data room. Founders inherit them without a governance manual and move forward assuming that someone, somewhere, has already defined what is required. In the race to build, that assumption becomes the missing layer.

The question is no longer whether you care about responsible AI. It is whether your organisation is structurally built to evidence it when investors ask for audit trails, when enterprise clients request documentation, and when regulators expect accountability.

This session draws a sharp line between responsible AI as a brand position and responsible AI as a legal and operational architecture, mapping exactly where the gap costs you. It will uncover the questions regulators, investors, and enterprise clients are now actually asking - and why current policies fail to answer them - before outlining a minimum viable responsible AI governance architecture: what to integrate first, what to defer, and what will cost you a deal if ignored.

As AI adoption accelerates, many solutions still depend on cloud-based processing - introducing latency, bandwidth constraints, and data privacy challenges. These limitations become critical in environments that require immediate, reliable decisions, such as industrial automation, healthcare, and autonomous systems.

This innovation pitch highlights Edge AI as a strategic shift: bringing intelligence directly to embedded systems where data is generated. By enabling real-time processing without reliance on constant connectivity, Edge AI unlocks new possibilities - from instant quality control on production lines to autonomous operation in remote or constrained environments.

The session will showcase concrete examples to illustrate the impact of this paradigm and why it is gaining traction across industries. Key takeaways include understanding the value proposition of Edge AI, recognizing where it delivers the most impact, and identifying opportunities to apply this approach to create faster, more secure, and more resilient intelligent systems.

Businesses worldwide spend USD 31.7 bn on translation every year, whether that's fully AI-driven or reviewed by professionals. While AI tools keep getting better, a fundamental issue remains: no non-human system will ever be able to certify correctness. Professional translators, on the other hand, are often simply too slow and expensive. The result for most businesses: outsourced processes with 17 different vendors, uncertain data protection, manual corrections and no continuous adaptation of the underlying language models to their use case.

Launched in February 2025 at supertext.com, our AI translator is based on enterprise-grade, sovereign LLMs hosted on our Swiss servers or on infrastructure of the customer's choice. We seamlessly integrate more than 3,000 experienced human linguists: our Verification feature lets users have important translations reviewed by professionals within 8 minutes while tailoring their custom translation model to their use case in the process. This makes the system more precise every day, reducing the need for professional oversight over time.

Our enterprise clients see an up to 90% increase in ready-to-publish AI output, 93% faster turnaround for professionally verified translations and a 64% reduction in overall translation spend. These gains aren't theoretical, but are in production today at 1,500 businesses including Swiss Life, AXA and SBB – even for Swiss German and Romansh.

A brilliant AI model is only as reliable as the data powering it. For the enterprise, the biggest hurdles to GenAI aren't the algorithms — they are fragmented data, security risks, and "hallucinations."
This session cuts through the hype to show why Architectural Trust is the true engine of innovation. Learn why bringing AI to your data — not the other way around — is the only way to build secure, scalable, and production-ready applications at speed.
Stop moving data. Start driving value.

Eric Anderegg, Co-Founder of GenAI Zürich & GenAI London, sets the stage for two days of applied generative AI in the historic Volkshaus Zürich. He outlines what to expect across multiple tracks, from enterprise use cases and deep tech talks to startup pitches, hands-on workshops, and the GenAI Zürich Award Ceremony – and reflects on what lies ahead for Europe’s applied GenAI community.

An invite-only roundtable bringing together policy, research, and industry leaders to brainstorm Switzerland's approach to the Geneva AI Summit 2027. The session focuses on how Switzerland can leverage its distinctive strengths – open debate culture, interdisciplinary cooperation, and pragmatic governance – to shape international AI dialogue and deliver tangible outcomes.

Key discussion threads:
- Identifying Swiss strengths that can anchor the summit's focus and differentiate its outcomes
- Mapping where international stakeholders most urgently need dialogue, progress, and concrete deliverables
- Assessing potential partners and political dynamics around specific goals
- Developing concrete tools, instruments, and solutions as "Swiss contributions" to global AI challenges
- Applying Swiss values of diversity, subsidiarity, and cooperative spirit to both the summit's substance and its preparatory process

The roundtable follows Chatham House rules. Participants are encouraged to come prepared with perspectives on what Geneva 2027 should deliver and where Switzerland is uniquely positioned to drive progress.

In this short speech, Thomas Schneider shares some thoughts about what “digital souvereignty” means to a small country with an open society and economy like Switzerland. And why cooperation is crucial to souvereignty.

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.

The Problem: Managing a $16-billion global supply chain requires more than static tools or generic chatbots; it demands real-time, adaptable intelligence to handle complex disruptions, massive data migrations, and daily operational friction.
The Approach: Syngenta built Austyn, a comprehensive AI ecosystem processing 2.5 billion tokens daily. Grounded in trusted enterprise data and connected to live systems like SAP and Databricks, Austyn features a built-in code interpreter, Microsoft 365 integration, and visual guidance tools. To ensure sustainable scaling, the platform utilizes energy-efficient AWS Graviton processors.
Key Takeaways:
• From Chatbot to Workshop: Enterprise AI succeeds when it acts as an integrated platform where employees can build their own custom tools and data solutions in seconds.
• From Answers to Actions: True enterprise AI isn't just about retrieving information; it's about executing complex tasks. By equipping the platform with code interpretation, live data pipelines, and visual guidance, AI becomes an active participant in solving real-world operational challenges.
• Amplified Judgment: AI's highest value is handling routine friction — enabling zero-disruption system migrations and instant supply intelligence — freeing human experts to drive high-stakes strategy and innovation.
• A Catalyst for Culture Shift: Adopting AI at this scale is more than a technological upgrade; it is a fundamental shift in how a global organization operates. It represents the convergence of legacy scientific excellence with next-generation artificial intelligence.

Ewelina Kawczynska is a global communications expert and journalist whospecializes in bridging the gap between complex technologies and impactfulstorytelling. With a career spanning seven countries and five languages, she hasreported on major global events for outlets like CNN, Euronews and AP andworked as a Communication Director for the UN in Poland.

Now based in Zurich, she leverages her extensive international journalismbackground to help organizations, innovators, and visionary leaders craftcompelling narratives that resonate globally. Combining journalistic integritywith a keen understanding of digital transformation, Ewelina is dedicated tofacilitating critical conversations that shape the future of applied technologies.