Forschung & Validierung
Modelle · Prototypen · Unsicherheitsanalyse
Architektur & Governance
Ziele · Risiken · Compliance
Produktsysteme
cNode · AI Playbook EU
From Strategy to Implementation
Six areas of expertise — one integrated systems approach for AI projects.
AI Strategy & Decision Architecture
Use Case Analysis · Data Landscape · Target SystemsMachine Learning Engineering
Pipelines · Deployment · MonitoringDecision Intelligence Systems
cNode · Workspaces · Agentic FrameworksAI Governance & Compliance
EU AI Act · GDPR · CRAAI Playbook EU
Readiness · Best Practices · AssessmentsProduct Development & Delivery
Sprints · Increments · HandoverStrategic consulting for AI projects — from feasibility studies through architecture to roadmapping. We help you make the right decisions.
From data architecture to production-ready models — technical implementation of complex AI systems with a focus on scalability and explainability.
We translate decision logic into operational systems — with cNode, agentic workflows, and transparent traceability.
Regulatory expertise for AI systems — GDPR, EU AI Act, and industry-specific requirements. From risk classification to audit readiness.
Structured implementation of AI Act requirements into operational processes — as knowledge base, readiness tool, and governance reference.
Iterative AI product development with clear sprints, measurable increments, and a structured transition to operations.
Experience from regulated,
high-stakes environments.
Our work is built on operational experience in financial and capital markets, insurance, and enterprise technology. We build production systems under regulatory oversight — not slide decks.
Operational experience from regulated financial and insurance markets — as individual career stations of our team members.
Listed organizations are former employers of individual team members. No partnership or endorsement implied.
News & Insights
Updates from our ecosystem, product news, and thoughts on AI, regulation, and innovation.
Was ist Decision Intelligence — und warum Gartner sie 2025 als transformational einstuft
Gartner hat Decision Intelligence im 2025 AI Hype Cycle erstmals als transformational klassifiziert und einen eigenen Magic Quadrant publiziert. Wir nehmen die Definition auseinander und sortieren ein, warum die Disziplin gerade jetzt aus dem Forschungsdunst in den Vorstand zieht.
Warum wir auf Ontologien setzen — und was wir am Palantir-Ansatz richtig finden
Wenn Daten fragmentiert sind und Entscheidungen über Systemgrenzen laufen, hilft kein größeres LLM, sondern ein gemeinsames Vokabular. Wir zeigen, warum Ontologien das Rückgrat unserer Plattform sind — und welche Lehre wir aus dem Palantir-Modell ziehen, ohne die methodischen Details unserer eigenen Arbeit preiszugeben.
cNode — was unsere Decision-Intelligence-Plattform tatsächlich tut
cNode ist kein weiteres Dashboard und kein LLM-Chat. Sie ist eine Plattform, die Entscheidungen explizit modelliert, Prognosen erklärt und Audit-Trails als Standardfunktion mitliefert. Wir zeigen, woraus sie besteht — und für welche Organisationen sie heute schon Sinn ergibt.
Frequently Asked
Questions.
Answers to the most important questions about our approach, our methodology, and what drives us.
We don't just advise — we build. Our approach combines operational experience from regulated markets with production-grade system architecture. Every project results in operational, auditable systems — not slide decks.
Our focus is on regulated and high-stakes environments: financial services, insurance, capital markets, and enterprise technology. Our architecture principles are applicable across industries.
Governance is architecture — not an afterthought. We integrate explainability, controllability, and auditability into every system architecture from the start. This creates compliance by design, not as a post-hoc audit.
The Observatory is our AI monitoring and governance system. It provides real-time transparency over deployed models, data flows, and decision paths — essential for regulated environments.
We start with a discovery workshop to understand your architecture and regulatory requirements. This is followed by iterative implementation in short cycles — always with the goal of delivering production-ready systems.
Yes. We work both project-based and in long-term partnerships. Many clients start with a specific use case and expand the collaboration incrementally.