Case study
Agentic AI Pilots Integrated into Enterprise Data Landscapes
A recurring delivery scenario in regulated and multi-stakeholder environments is to prove value fast with an AI MVP while creating a credible path toward production.
AI consulting for Switzerland and the world
Super AI Labs is based in Zurich and led by engineers trained at ETH Zurich and EPFL. We combine consulting discipline with deep engineering execution to deliver high-accountability software systems in the age of Artificial Intelligence
We've worked with great organizations
Harnessing technology for a better Switzerland
We believe technology is the answer to some of Switzerland's greatest challenges. We deliver robust and scalable software systems using AI-native tools and processes.
Case study
AI-Native Delivery of User-Facing Software with Enterprise Full-Stack Foundations
A common challenge in digital services is not only building a working app, but shipping an experience that real users adopt while maintaining speed of iteration.
Case study
Real-Time Edge AI Video Intelligence with Applied NLP Automation
Many public-sector and regulated-industry AI scenarios require real-time production output under operational constraints such as latency, constrained networks, and device boundaries.
A common error enterprises make with AI is to treat it as a kind of 'bolt on' tool that you access now and then. But the way to get much better results is to make AI an integral part of how you get work done-woven into the whole range of things workers do every day.
Dario Amodei - CEO Anthropic
Services - From tender requirements to reliable software delivery
We design, build, and operate AI-native software for Switzerland's private and public sector.
- Custom software engineering. End-to-end delivery of web platforms, data services, and AI-enabled workflows using modern architecture patterns and production-grade engineering standards.
- AI and data systems. Design and implementation of document intelligence, agentic AI, and automation systems integrated with existing enterprise data landscapes.
- Public-sector delivery support. Structured delivery approach for federal, cantonal, and municipal stakeholders with clear milestones, governance reporting, and operational handover.