01
Private workshops
Focused, hands-on programs shaped around your team's systems, technical maturity, and immediate production goals.
Team training · Leadership briefings · University programs
For business · Teams · Institutions
Production AI/ML expertise for teams that need to ship.
Work with practitioners who have spent 18+ years designing and operating AI and ML systems in the real world, from focused capability building to production delivery.
HTW Berlin · Hands-on RAG systems workshop · 2025
18+
years in production AI/ML
Flexible
engagement formats
Hands-on
technical delivery
Your stack
your production context
How we help
Choose the support your team needs now.
Start with a focused workshop, bring us into a design decision, or work together on a live system. Every engagement is shaped around the people, constraints, and outcomes in front of us.
02
AI/ML advisory
Architecture and delivery guidance for teams deciding what to build, buy, migrate, evaluate, or take into production.
Architecture reviews · Roadmaps · Build-vs-buy decisions
03
AI adoption and enablement
Help your teams adopt AI tools with confidence, from selecting and setting up the right stack to building practical, responsible workflows that improve day-to-day productivity.
Tool selection and setup · Role-based workshops · Productive AI workflows
04
Implementation support
Senior practitioners work alongside your team to design, build, and productionize an important AI/ML use case.
System design · Technical delivery · Production readiness
Production focus
A broad AI/ML practice, applied to your context.
These are capability areas, not a fixed public curriculum. The scope, examples, and depth are selected after we understand what your team is trying to build or improve.
01
Agentic AI and RAG
LLM applications, retrieval, AI agents, evaluation, guardrails, and observability.
02
Search and recommendations
Information retrieval, ranking, personalization, experimentation, and feedback loops.
03
MLOps and ML platforms
Model lifecycle, deployment, monitoring, reliability, and developer experience.
04
Applied data science
Practical modeling, forecasting, experimentation, optimization, and decision systems.
05
AI/ML system design
Architecture, data foundations, build-vs-buy choices, cost, security, and governance.
06
Production leadership
Technical roadmaps, platform strategy, operating models, and capability building.
Built for your context
The right depth for the people in the room.
We adapt the format to your technical maturity and goals. The work stays grounded in systems your team can understand, operate, and continue to own.
Engineering teams
Build shared production instincts across architecture, evaluation, deployment, and operations.
AI and ML practitioners
Move from experiments to systems that can be measured, debugged, secured, and maintained.
Companies and enterprises
Create a practical AI/ML roadmap with clear ownership, controls, and delivery priorities.
Universities and events
Bring current production practice into classrooms, conferences, and technical communities.
Contact
Tell us what you are trying to build, teach, or launch.
Reach out about a course, a team program, a technical partnership, or an AI/ML project. A little context helps us send the right answer quickly.
Typical response time: within two business days
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