We ship AI systems
that actually work.

Three ETH engineers. Zurich precision. From concept to production in weeks.

ETH Zurich Start-up
3 Founders, 3 MSc Degrees
Zurich, Switzerland
01

How We Help

End-to-end AI services from discovery to production

Opportunity Discovery & Roadmap

Systematic identification and prioritization of AI use cases aligned with your business KPIs and technical feasibility.

AI Agent Automation

Automate complex workflows with AI agents that coordinate tools, decisions, and handoffs.

RAG Knowledge Systems

Context-aware retrieval and generation for accurate answers from your internal knowledge.

Data & MLOps Foundations

Pipelines, monitoring, and infrastructure that turn proof-of-concepts into reliable production systems.

Document Intake Automation

AI agents that handle document intake, validate data, and automate downstream workflows.

Change Management & Enablement

Documentation, training, and runbooks that ensure your team can operate and improve AI systems.

02

What We Build

Data Intake & Processing Pipelines

Structuring, quality gates, plausibility checks, query logic, and handoff to downstream systems.

Agentic Workflows & Automation

Copilots and automations with guardrails, logging, approval processes, and traceable process logic.

Training & Cloud Deployment

Scalable training, data processing, MLOps, and production operation on AWS, Azure, and GCP.

03

From Idea to Production

In weeks, not months.

01

Online Meeting

45 min - 1 hour

A first conversation to understand your goals, challenges, and potential AI use cases.

02

Scoping Workshop

2-3 hours

We define exactly what we'll build, at what price, with demos where useful -- so you know what you're getting before we start.

03

Build Phase

3-6 months

Iterative development with demos and evaluation harness, integrating into your stack.

Meet the Team

Three ETH Zurich engineers shipping AI from lab to production.

Andre Emmenegger

Andre Emmenegger

Agentic Systems & Platforms

  • MSc CS, ETH Zurich
  • Time Series & LLMs Research
  • Ex-BSI Engineer
  • Published at Disney Research
Darius Doongaji

Darius Doongaji

Innovation & Intelligence

  • MSc CS, ETH Zurich
  • Full-stack Engineer at SF Startup
  • Lesion Detection Research
  • Built Robust AI at Medical Startup
Tobias Leuthold

Tobias Leuthold

Automation & Acceleration

  • MSc Mech. Eng., ETH Zurich
  • Automation Pipelines at Swiss AI Startup
  • Classification Models on Timeseries Data
  • Improved Google's SOTA Pose Estimation Model
We bridge the gap between cutting-edge AI research and practical business deployment -- turning applied research into production systems that deliver measurable KPIs in 90 days.

Common Questions

We implement least-privilege access, auditable data flows, and human-in-the-loop validation where it matters. All systems can be deployed on-premise or in your own cloud environment with full data sovereignty.

Discovery phase: 1-2 weeks. MVP development: 2-6 weeks with weekly demos. Full production deployment typically completes in 8-12 weeks total, depending on complexity and integration requirements.

We work on project-based or retained engagement models. After the initial scoping workshop, you'll have a clear roadmap with effort estimates. We focus on value delivery, not billable hours.

Yes. We build cloud-agnostic solutions that can run in AWS, Azure, GCP, or on-premise infrastructure. You maintain full control of your deployment environment.

Every project starts with defining measurable KPIs tied to business outcomes (e.g., time saved, error reduction, margin improvement). We track these metrics throughout development and production.

Ready to Ship AI That Delivers?

Book a 20-minute scoping call to explore how we can turn your AI ideas into measurable business impact.

Least-privilege access · Auditable data flows · Human-in-the-loop where it matters