3 founders with deep AI knowledge
Zurich, Switzerland
ETH engineers bringing applied AI into production: practical systems, measurable results.
The three areas where we do our deepest work, from first prototype to production.
Automate complex, multi-step workflows with AI agents that coordinate tools, make decisions, and hand off to a person when it matters.
Conversational intake that guides customers to the right details up front, resolves simple requests on the spot, and turns the rest into clean, structured cases.
Pipelines that read, classify, and validate incoming documents, then feed structured data straight into your downstream systems.
Structuring, quality gates, plausibility checks, query logic, and handoff to downstream systems.
Copilots and automations with guardrails, logging, approval processes, and traceable process logic.
Scalable training, data processing, MLOps, and production operation on AWS, Azure, and GCP.
In months, not years.
We discuss your goals, challenges, and first ideas for using AI. Together, we identify where AI can create real value.
We sharpen the use case, show relevant demos where helpful, and define what will be built, how the implementation will work, and what costs to expect.
We develop the solution step by step, show regular progress, and integrate it cleanly into your existing systems.
Three ETH Zurich engineers bringing AI from the lab into production.
Agentic Systems & Platforms
Innovation & Intelligence
“We connect current AI research with business practice and turn applied research into systems with measurable results.”
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.
Book a 20-minute call. Together, we explore where AI can create meaningful value for your business.
Least-privilege access · Auditable data flows · Human-in-the-loop where it matters
