Riegel Systems solves demanding product tasks across technology boundaries. The solution areas bundle the engineering capabilities along concrete challenges.
AI Systems & Automation
Production-ready AI systems instead of demos: generative AI, LLMs and agents are integrated into real workflows – with clear quality criteria, controlled costs and human-in-the-loop where responsibility demands it.
- AI-supported production pipelines and content workflows
- Document and business process automation
- Sentiment and data analysis as decision support
- Inference platforms on GPU infrastructure
Cloud & Digital Products
Complete digital products and SaaS platforms – from architecture via MVP to production operation. Including app ecosystems, business features, analytics and operational topics.
- SaaS and web platforms with scalable architecture
- Mobile apps as part of a product ecosystem
- Cloud modernization and architecture (AWS, Kubernetes, serverless)
- Operational quality: CI/CD, observability, cost control
Connected & Industrial Products
Physical products become a connected system through firmware, radio protocols, apps and cloud – a path that needs to be thought through as a whole.
- Digital electronics, embedded software and firmware
- Bluetooth Low Energy and device communication
- Device-to-cloud data paths
- Integration with mobile and cloud platforms
High Performance Visualization
Compute-intensive data and interactive 3D display when local hardware is not enough: server-side processing and rendering with low-loss streaming paths.
- GPU-based rendering (Vulkan) and CAD data processing
- Streaming architectures (WebRTC, video) for the browser
- C/C++ performance engineering
- GPU cloud infrastructure