Using AI technology, we develop intelligent systems for customer experiences, automation, and data-driven decisions.






































AI as an experience, as a service and as a tool.
As an experience technology agency based in Hamburg, founded in 2008 and part of MCI Group, we at Demodern build AI applications for brands and companies: on-brand AI assistants and chatbots, conversational and voice interfaces, computer vision, and generative AI for text, images, video and 3D assets. Depending on the task, AI becomes an experience at trade fairs, in retail and in campaigns, a service that advises customers and employees around the clock, or a tool that speeds up content production and internal workflows. We start with strategy and use-case analysis and prepare data and knowledge bases so that the AI delivers reliable answers.
We build a working prototype in one to three weeks and an MVP in four to eight weeks; enterprise solutions with RAG, custom training and system integration take eight to 16 weeks. Our solutions are API-based, integrate with websites, apps and CRM systems, and can be operated GDPR-compliant on EU infrastructure. Projects in this area include work for J.J. Darboven, PETA, Fraunhofer (ML2R) and an international pharmaceutical company.
01 / 09
AI Experience Strategy
We analyze touchpoints, processes and audiences to develop an AI strategy that connects experience with business goals – from conversational interfaces to personalized journeys and adaptive content.
- Touchpoint & UX audit
- Use case discovery
- Business case & ROI model
- AI maturity assessment
- Technology roadmap
- Data strategy & sources
- Pilot & MVP planning
- Governance & risk analysis
02 / 09
Branded AI Assistants
Brand-authentic AI assistants for events, retail and service – with defined tonality, knowledge base and dialogue design. From concept through prototype to scalable deployment.
- Tone of voice & persona design
- Knowledge base & RAG setup
- Dialogue design & guardrails
- Multi-channel deployment
- Brand-safe response behavior
- Source citation & transparency
- Analytics & conversation insights
- Scaling & monitoring
03 / 09
Conversational AI & Interfaces
Dialog-based AI systems with natural language, multimodal interfaces and personalized responses – as digital concierges, chatbots or interactive consulting tools.
- Multimodal interfaces
- Voice & text input
- Personality & tonality
- LLM & model selection
- Knowledge base & RAG
- Context-based personalization
- Analytics & optimization
- Integration into existing systems
04 / 09
AI Prototyping Sprints
A working prototype in 1–3 weeks – whether agent, RAG system, voice or multimodal – tested in real scenarios for a well-founded go/no-go decision.
- Discovery & scoping workshop
- Agent & RAG prototypes
- Voice & multimodal mockups
- 1-3 week end-to-end sprints
- Live tests in real scenarios
- Stakeholder demos & feedback
- Go/no-go decision basis
- Roadmap to production
05 / 09
Data & Content Readiness
Product data, content and knowledge bases structured so that AI generates relevant answers and experiences – with taxonomies, retrieval logic and feedback loops.
- Data audit & source mapping
- Taxonomies & ontologies
- Content structuring
- PIM & DAM integration
- Retrieval logic & embeddings
- Vector database setup
- Feedback loops & tuning
- GDPR & license compliance
06 / 09
Generative AI & Content Automation
Automated production of text, images, video and 3D assets with generative AI – audience-optimized, brand-compliant and scalable across all channels.
- Text, image & video generation
- 3D asset generation
- Brand-compliant templates
- Style & brand guidelines
- Multi-channel distribution
- Workflow automation
- Human-in-the-loop review
- Rights & license tracking
07 / 09
Voice AI & Speech Interfaces
Voice-controlled assistants, voice commerce and audio interfaces – natural interaction via speech for trade shows, retail, smart devices and accessible applications.
- Speech-to-text & TTS
- Voice cloning & brand voice
- Multi-language support
- Wake-word & hotword detection
- Voice commerce funnels
- Phone & smart device integration
- Noise reduction
- Accessible voice control
08 / 09
Computer Vision & Visual AI
Image recognition, object detection and visual analysis for retail, industry and interactive installations – from quality control to AR-powered real-time product recognition.
- Image recognition & classification
- Object detection & tracking
- OCR & document analysis
- Production quality control
- AR-powered real-time analysis
- 3D reconstruction
- Edge & cloud deployment
- Custom model training
09 / 09
Custom AI Development & Integration
Custom AI models integrated into existing systems and workflows – from architecture through training to seamless integration into live operations.
- Architecture & model selection
- Custom model training
- Fine-tuning on proprietary data
- RAG & agent architectures
- API & microservice integration
- Edge & cloud deployment
- Monitoring & MLOps
- GDPR & data privacy compliance
Talk to one of our AI experts now.
Describe your challenge – we'll follow up with concrete approaches and recommendations. hi@demodern.de




