LLM

Limmat Labs Methods

We help companies put AI to work, and we build the software they need to run it. From Zürich.

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Two ways to work with us

Some teams need a partner to make AI useful inside their company. Others need a specific piece of software, built and delivered. We do both.

AI enablement

We work with your team to find where AI creates real value, build the first use cases into your existing systems, and make sure your people can run them on their own.

  • Assessment of where AI fits your processes and data
  • LLM features in your products: assistants, search over your documents, agents
  • Evaluation, guardrails and monitoring so results stay reliable
  • Privacy by design for sensitive and regulated data
  • Making your codebase ready for AI-assisted development
  • Training and knowledge transfer for your engineers

Good fit: companies with existing software and data that want AI in production, not just in slides.

Packaged solutions

A clearly scoped piece of software, designed, built and handed over at a fixed price. You get working, documented software, not an open-ended project.

  • Backends and APIs in Python and TypeScript
  • AI-powered tools: document processing, internal assistants, automations
  • Cloud infrastructure on AWS, Kubernetes or Cloudflare
  • Integrations between the systems you already use
  • Documentation and handover so your team owns the result

Good fit: teams that know what they need and want it delivered without hiring for it.

How a project runs

Every engagement follows the same path, whether it ends in a trained team or a delivered product.

  1. Understand

    A short call and a look at your systems, data and goals. You get an honest view of what is worth doing.

  2. Scope

    A written proposal with clear deliverables, timeline and price. No surprises later.

  3. Build

    Working results early and often, tested against real cases from your business.

  4. Hand over

    Documentation and training, so your team can run and extend what we built.

Who is behind it

I'm Gonzalo Luque, a backend solutions architect based in Zürich. I spent over seven years at a Swiss digital health SaaS company, growing from junior engineer to architect of a platform that handles sensitive health data at scale.

Today I build AI products that run in production, which means caring about the unglamorous parts: evaluation, reliability, cost and data protection. Limmat Labs Methods is how I bring that experience to other companies.

I have worked on AI projects together with people from AWS, Microsoft and DeepMind, from customer-facing chatbots to making large codebases ready for AI-assisted development.

I work directly with you on every project. No account managers, no handoffs to people you have never met.

Plopp

My own consumer wellness app, built on Cloudflare's edge platform and designed privacy-first under GDPR. It is where I test the ideas I bring to clients.

Visit Plopp
Based in
Zürich, Switzerland
AI projects alongside
People from AWS, Microsoft and DeepMind
Experience
7+ years in digital health software
Stack
Python, TypeScript, FastAPI, Kubernetes, AWS, Cloudflare
Languages
English, Spanish

Tell us what you need

Describe your idea or problem in a few lines. You will get a personal reply within two working days.

Prefer email?
hello@limmatlabs.com