About
We build AI you can trust.
mnemic labs is Pascal and Nicolas. Our vision: AI that organizations can rely on for every answer, traceable, backed by evidence and under their control. We start in compliance, where those demands are highest, and from there bring traceable AI to more industries.
The team
Computer science and compliance at one table.

Pascal Feigenwinter
Builds the AI behind Novalis. Studies computer science at ETH Zurich, focusing on machine learning and computer vision, with hands-on experience from data projects, including with UEFA.
- BSc Computer Science ETH
- MSc ETH (in progress)
- ML & computer vision

Nicolas Studer
Brings together business and computer science, with experience from the day-to-day compliance work of a Swiss business law firm. Knows first-hand where questionnaires cost time.
- BSc Business, University of Basel
- Computer Science ETH
- Compliance engineering
Our path
The idea
A problem from everyday work
Nicolas sees how much time compliance teams spend on recurring questionnaires. Pascal knows what AI can do today, and where it makes things up. Together they come up with the idea for Novalis: AI that only answers with evidence.
September 2026
ETH Student Project House
At ETH Zurich's Student Project House, we build the first prototype and test it with real questionnaires.
November 2026
ETH Entrepreneur Club Trajectory
We are accepted into the Trajectory program and sharpen the product and business model with experienced founders.
Today
In use with innovation partners
Novalis runs with its first partners in law and asset management, and gets better every week with their feedback.
2027
mnemic labs
We found mnemic labs to build traceable AI for more industries.