Custom Use-Case Discovery
Where AI, agentic AI, and analytics create value.
Process and opportunity mapping Feasibility assessment Risk and guardrails Impact sizing
Services
Agentic AI solutions, end-to-end delivery, and workshops.
Sparring partner for strategy, roadmap, and internal initiatives.
Delivery partner for tailored applications, pipelines, and products.
Data & cloud
Strategy & Discovery
Sparring partner for strategy, roadmap, and internal initiatives.
Where AI, agentic AI, and analytics create value.
Process and opportunity mapping Feasibility assessment Risk and guardrails Impact sizing
From business goals to a sequenced AI roadmap, with target architecture, operating model, and governance in one picture.
Ambition and value logic Opportunity portfolio Target architecture and operating model Sequencing and governance
Systems & Applications
Delivery partner for tailored applications, pipelines, and products.
Agentic
AI agents and systems tailored to your business questions.
Custom framework design Agentic quality metrics Agent observability Delivery pipeline integration
Secure personal AI assistants, on your own device or in controlled cloud, reachable on the go.
Cloud or self-hosted installation Messenger integration (Telegram, WhatsApp, Signal) Autonomy level and guardrails Custom configuration
The path to a more autonomous organisation: workflows that run on their own, with proven savings, established inside your teams.
Agent harness design Multi-agent orchestration Autonomous workflow architecture Guardrails and cost control
Data & cloud
Tailored data-science and analytics applications, pipelines, and data products, built and run end-to-end.
Data integration Modelling Orchestration Production delivery
Enterprise-scale RAG: every document at your fingertips.
Ingestion pipelines Grounded answers with citations Access control Quality evaluation
Workshops & Upskilling
Workshop partner, training teams in the right practices.
Leadership
From answering to getting things done. What an AI agent is, how it is built, what it costs, and how to govern it.
Agent or not Structure and flow Build, buy, or configure Judging quality Governing and rolling out
The legal and organisational framework for using AI in your company, from a Swiss perspective.
The legal framework in Switzerland Reach of the EU AI Act Accountability and liability Policies that hold up in daily work Roles, controls, and rollout
AI & agents
Prompt engineering as a durable system, in projects and teams.
LLM fundamentals and prompt architecture Building reusable prompt systems Testing, refining, and safeguarding output Establishing prompt systems in projects and teams
Code assistants, scaled to full autonomy.
Tools (Claude Code, Codex, Antigravity) Enriching agents with instructions and skills Scaling to full autonomy Security, sandboxing, and cost control
Designing, deploying, and governing reliable AI agents.
Concepts and frameworks Architecture (system and cognitive) Reliability and governance In practice
Data, code & cloud
Data as a first-class product, from raw input to modelling and management.
Data as a product Storage, processing, and pipelines Modelling for analytics and ML Management, governance, and rollout
Modern engineering practices for production-grade Python.
Git, CI/CD, and versioning Modern Python stack Testing and code quality Software architecture
From cloud concepts to delivering insights to dashboards.
Cloud concepts Orchestration and CI/CD Observability and security Delivery via dashboards, apps, and APIs