Secure & Sovereign GenAI Platforms
Organized by Artifact SA
Secure & Sovereign GenAI Platforms - Considerations from real-world implementations As enterprises move beyond GenAI pilots, one question dominates: how do you deploy powerful AI without sacrificing data control, compliance, or flexibility? In this online session, we share first-hand lessons from building and deploying CompanyGPT — a secure, enterprise-grade GenAI platform developed by Artifact and trusted by organizations across industries including pharma, finance, public sector, and media. From a major Swiss city running an on-premise instance for compliant knowledge management, to an international pharma company launching a B2B support chatbot on their own Azure infrastructure, real implementations reveal what actually matters when taking GenAI from proof-of-concept to production. We explore the key architectural decisions: cloud-agnostic vs. on-premise deployment, LLM gateway management, Retrieval-Augmented Generation (RAG) for internal knowledge, and the transition from chat to agentic workflows. We also address the governance and sovereignty layer — how to maintain full ownership of your data, models, and roadmap without being locked into black-box SaaS tools.
Key takeaways:
- What "secure and sovereign" means in practice — and where most companies underestimate the complexity
- How to structure a GenAI platform that grows with your organization (from Starter to Scaler)
- Lessons from 10+ real deployments: what works, what doesn't, and what to prioritize first
Speakers:
- Dr. Stefan Ravizza, Co-Founder Artifact
- Michael Wegmüller, Co-Founder Artifact
- Emma Scharfmann, AI Engineer Artifact
Organizer Artifact is dedicated to empowering people with AI for the better. As a professional service provider, Artifact does Data Science in a responsible and ethical way – keeping an innovation mindset, a people focus and an agile drive. Artifact's team masters the ART of Data Science creating novel Insights to positively Impact decision making based on FACTs in the data. The team's aim is to find pragmatic and sophisticated solutions that lead to real impact and value for clients.