
Responsible AI Solutions
Services
Three service areas where we go deep — all focused on traceable, validatable AI systems.

Explainable AI Engineering
We build AI systems whose decisions can be traced. RAG with provenance, knowledge graphs for transparent decision paths, interpretable models, and complete audit trails.

AI Validation & Compliance
Validation strategies for regulated environments, risk assessments, model documentation, and continuous monitoring. We deliver the artifacts that hold up in audits.

Strategic AI Advisory
Use-case identification and prioritization in regulated environments. Build-vs-buy decisions, vendor assessment, and training for compliance and QA teams.
How we work
AI is only production-ready in regulated environments when it is validated, documented, and auditable. We work along established frameworks and deliver the artifacts that hold up in inspections and audits.
Traceability by design
Every decision an AI system makes can be traced back to its data source and model response. Black-box models only where absolutely necessary — and always with confidence tracking.
Validation over PowerPoint
We deliver validation plans, risk assessments, and model documentation as standard deliverables, not as add-ons. Compliance is part of the build, not a retrofit.
EU hosting and data sovereignty
EU-hosted deployments, transparent data flows, documented sub-processing relationships. On-premise and sovereign cloud when the regulatory situation demands it.
Meet the Team
Interdisciplinary team across AI, data science, and regulated industries.

Dr. Christian Seifert
Managing Director
Statistics & AI Consulting

Melanie Holzapfel
Managing Director
Data Visualization & IBCS Expert

Florian Rauls
Managing Director
Agentic AI & Data Science Expert

Simon Gimmini
Data Engineer
AI Expert & Data Engineer

Levin Kobelke
Data Scientist
DevOps Engineer & Fullstack Developer

Thomas Seifert
Media Designer
Canva Expert & Media Designer
Insights
Recent posts from our team.

The Fastest Way to Prototype Software
Speed in prototyping does not come from running around headlessly, but from shared clarity, the right tools, and clear ownership. This article shows how planning, team structure, check-ins, and pragmatic technical decisions actually make software prototypes faster.
Frequently Asked Questions
Contact
Infinity Synaptics GmbH
Schnabelbrunnengasse 7
67059 Ludwigshafen
Deutschland / Germany