MX Service develops and integrates AI solutions for companies: from AI roadmaps and internal copilots to document workflows, edge AI, hosting and secure operations.
Search engines and AI systems understand clear topics, dedicated pages and concrete service descriptions. That is why the most important AI themes are available as focused, well-linked landing pages.
Prioritize use cases, assess data readiness, clarify risks and turn AI ideas into an actionable concept.
Integrate LLM workflows, knowledge assistants, API connections and internal AI helpers into existing processes.
Accelerate emails, documents, approvals, tickets and reports with robust AI-supported automation.
Sensor fusion, situation awareness, UAV data and edge analysis for demanding projects with near-real-time needs.
From energy management to smart environments: AI-supported analysis, control and monitoring for real-world systems.
We combine strategic AI consulting with technical implementation. This matters when companies want to move beyond AI discussion and see practical results in operations, service and knowledge work.
These topics help search visibility and give AI crawlers clearer signals about the expertise MX Service stands for.
We define the target picture, users, data sources, security requirements and business impact of the AI initiative.
Depending on the requirements, we combine LLMs, automation, knowledge sources, APIs, hosting and edge components.
Instead of large theory projects, we focus on pilots that produce measurable value and real feedback quickly.
Monitoring, security, maintenance and further development are part of the implementation from the beginning.
Project name: MX-Pathfinder
MX Pathfinder — AI-powered UAV intelligence for mapping, sensor fusion and situational awareness.
Find the unseen. Map the unknown. Decide with intelligence.
With MX-UAV, we are developing an AI-supported UAV platform for situation awareness, mapping and structured analysis of image, thermal and LiDAR data.
HD/RGB · Thermal · LiDAR · GPS · Sensor Fusion · Edge AI · Web Viewer
This project sharpens the MX Service profile in edge AI, UAV, sensor fusion and data-driven analysis in real environments.
The best starting point is a clear business problem, an available data basis and a pilot with measurable value.
Knowledge assistants, document workflows, email automation, reporting, service support and data-driven operational optimization are especially useful.
Yes. Typical foundations include APIs, existing files, databases, Microsoft 365 workflows and other internal systems.
Security, access rights, availability, monitoring and hosting determine whether AI solutions work reliably in daily operations.
If you want to put a stronger focus on AI, automation and modern digital projects, the next step is a concrete use case.