AI Architecture & Engineering
Production-ready AI systems instead of prompt demos: from model selection via agentic systems, MCP and inference platforms to integration into production systems.
on request
Engineering services by Riegel Systems: AI systems, cloud architecture, SaaS products, connected devices, GPU performance and architecture assessment.
Production-ready AI systems instead of prompt demos: from model selection via agentic systems, MCP and inference platforms to integration into production systems.
on request
Fast, technically sound validation of a concrete AI use case – from data access to a runnable prototype with clear evaluation criteria.
on request
Clean, operable cloud architectures – new build or modernization of existing systems with a focus on scalability, cost and observability.
on request
From architecture and MVP to production operation: complete SaaS and digital product development – web, mobile, backend and operations.
on request
Connect physical products with software, apps, cloud and AI – from digital electronics and firmware to cloud connectivity.
on request
Compute-intensive applications and low-loss data paths: C/C++, GPU computing, Vulkan, streaming and GPU cloud infrastructure.
on request
Structured technical assessment of existing systems or architecture designs – with prioritized, actionable results.
on request
Measurable reduction of cloud costs based on data analysis – without sacrificing performance or reliability.
on request
Defined packages with a clear result – also suitable as a framework for the initial project scope.
Analysis of a product idea or an existing architecture.
Fast, technically sound validation of a concrete AI use case – from data access to a working prototype.
From idea to a first production-ready version – with clean architecture instead of prototype debt.
We evaluate your project in a structured way and recommend the right starting point – without a sales pitch.