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2026-present·FounderPrincipal AI Consultant

Founding LatentSpace Labs

In July 2026 I founded LatentSpace Labs GmbH, an independent consultancy for Secure & Sovereign AI Architectures. After building the enterprise AI business area and the Swiss AI Hub, the open-source (Apache 2.0) sovereign AI platform, at bbv Software Services, I set out on my own to help organizations design AI systems they truly own and control.

What I do

I consult both Swiss SMEs and international Fortune 500 companies on the full stack of production AI: AI architecture, AI infrastructure, system integration, and MCP-based agent tooling. The common thread is sovereignty and security, deploying AI where clients keep ownership of their data, models, and infrastructure, without vendor lock-in.

The work draws directly on years of building this layer in practice: model serving, retrieval and vector search, agent orchestration, observability, and the Model Context Protocol (MCP) as the integration fabric between models and enterprise tools. It is rarely the model that breaks in production; it is the architecture around it.

What is LatentSpace Labs GmbH?

LatentSpace Labs GmbH is an independent consultancy founded by Joel Barmettler in 2026, specializing in Secure & Sovereign AI Architectures. It advises Swiss SMEs and international Fortune 500 companies on AI architecture, AI infrastructure, system integration, and MCP-based agent tooling.

Who does LatentSpace Labs work with?

LatentSpace Labs consults both Swiss small and medium enterprises and international Fortune 500 companies, helping them design and operate AI systems they own and control end to end.

What does 'sovereign AI architecture' mean?

Sovereign AI architecture means deploying AI systems where an organization retains full ownership and control over its data, models, and infrastructure - on-premise, in Swiss data centers, or in a chosen cloud - without vendor lock-in, so systems can be inspected, audited, and moved without code changes.


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Copyright 2026 - Joel P. Barmettler ·Impressum·Privacy