An AI vertical of a 25-year-old Swiss GmbH.

Terraris.ai is the corporate AI practice of Terraris GmbH, registered in the Canton of Zug, Switzerland (CHE-101.131.421). We operate at the intersection of enterprise governance, knowledge architecture, and applied AI systems.

Terraris GmbH was not founded to chase a trend. The parent company has twenty-five years of institutional history under its belt, predating the term "machine learning" entering the mainstream by a decade. That continuity matters in AI work: we build systems intended to survive beyond the project launch, the vendor pivot, and the next industry cycle.

Our practice is governance-first by design. Before any model is deployed inside a client organisation, we map the data flows, the decision chains, and the compliance requirements. EU AI Act, GDPR, LGPD, ISO 42001 are not afterthoughts. They are the starting constraints from which every architecture is derived. This is not a differentiator we invented, it is a consequence of operating from Switzerland into regulated European, Middle Eastern, and Brazilian markets.

The work we do falls into four pillars: AI Governance frameworks, enterprise RAG (knowledge retrieval over internal corpora), autonomous agent systems integrated into ERP and operational workflows, and AIOps for infrastructure teams moving beyond alert fatigue. We enter engagements through a structured Discovery Sprint, not open-ended consulting retainers billed by the hour.

We are deliberately small. A boutique practice with senior practitioners on every engagement, not a firm that sells senior and delivers junior. Our geographic scope covers headquarters in Zug and operating presence in Brazil (LATAM) and Dubai (Middle East and North Africa). These are not satellite offices, they are markets we understand from years of direct operating experience.

Terraris.ai does not publish AI-generated content passed off as human insight, does not promise transformations it cannot scope, and does not build systems designed to create dependency rather than capability. We call this governance-first. Others might call it institutional conservatism. We consider it the only responsible way to introduce autonomous systems into organisations that carry real regulatory and reputational risk.

Last updated: 2026-05-13