The principles and attitudes that guide our work
Progress that includes everyone.
Knowledge with depth and direction.
Engineering at the highest level.
From these values, we derive our design principles – the technical guardrails we use to design, evaluate, and run AI systems in practice.
The technical guardrails we use to design, evaluate, and run AI systems.
We think in industries, not in models. Deep domain understanding is the key to successful AI systems.
Read moreNo decisions without data, no assumptions without validation. Systematic evaluation is the key to success.
Read morePrivacy is not a feature on top – it is part of the core architecture. GDPR compliance from day one.
Read moreSelected articles, case studies, and field reports – directly from our work with clients, partners, and the AI community.
Explore all of our articles with learnings, philosophy, and hands-on field reports.