MX SERVICEDesign and further development
We create digital designs for components and assemblies based on agreed requirements. Depending on the commission, this can include new designs, refinement of existing designs and comparison of suitable alternatives.
Computational Engineering for clients
Computational Engineering
Calculate. Do not guess.
We offer Computational Engineering and AI-assisted design services to businesses. We undertake calculation-based development and design tasks for our clients within an agreed project scope. We use our own AI development, already tried in practice, to bring together technical knowledge, calculations and digital design.
In simple terms, we describe what a component needs to do, account for its technical requirements and develop a suitable design. We document the basis of the calculations and the results. The knowledge gained can support further development tasks.
In-house developmentComputational EngineeringCNC support
Computational Engineering services
Do you need to develop a component, refine an assembly or compare design alternatives on a traceable basis? MX Service actively supports your development task. We offer more than an explanation of the method: we carry out engineering design work for clients.
Calculations and documented results
We document the requirements considered, the basis of the calculations and the results. You receive the agreed digital designs and a traceable basis for further development decisions. Missing data and any verification still required remain clearly identified.
We begin by agreeing the task, the available data and the intended results. We then define the scope of work, the verification required and an individual proposal. A digital design alone does not replace necessary physical testing or approval for manufacturing.
Engineering example: MX-Pathfinder
Visualisation of a development stage. Motors and propellers are partly symbolic representations. The CAD view is not proof of performance or approval for manufacturing or flight.
View the film on its own pagePractical example: an MX-Pathfinder rotor arm
The rotor assembly is part of our own MX-Pathfinder UAV development project. The film makes a digital design stage tangible. Viewers can understand the assembly without us publishing the internal architecture of our design AI or confidential development documents.
The task
Work on the design of a rotor assembly within the drone development project and present its digital development stage clearly. MX-Pathfinder remains a development project in the final phase of prototype development.
The visible result
The CAD visualisation shows the assembled components. It is a concrete example from our design work, but the film itself contains no calculation report and does not demonstrate performance figures.
The client connection
We also develop and refine components and assemblies for clients. Requirements, calculation bases, digital designs and the verification needed are defined and documented for the individual commission.
Describe the intended function, your starting point and the result you need. We will discuss which design work, calculations and documentation belong in the commission. A general task description is sufficient for the initial contact.
What is Computational Engineering?
Computational Engineering combines engineering knowledge with computer-based development. It starts not only with what a component should look like, but with what it needs to do: Which forces will act on it? How much space is available? Which materials and manufacturing methods are suitable?
These requirements inform calculations, digital designs and a basis for decisions that can be checked. An attractive 3D view alone is not enough. What matters is whether the design has a sound technical basis and can be assessed for its intended use.
Why does this matter for businesses?
Requirements change during product development. A component may need to be lighter, fit a different installation space or be made using another manufacturing process. When the relevant relationships are represented computationally, changes can be investigated more systematically and alternatives compared on a common basis.
Potential benefits include traceable decisions, reusable development knowledge and a structured way to refine designs. The time or effort saved depends on the task, the available data and the necessary verification. We therefore do not promise a universal speed improvement.
From requirements to a design that can be checked
The general approach can be explained in four steps:
- Define the goal: Describe the component's function, operating conditions and limits.
- Establish the technical basis: Bring together suitable calculation methods and reliable input data.
- Develop the design: Translate the results into a digital design and compare alternatives.
- Assess the result: Review the calculations and design, and identify the practical tests required for the intended use.
This overview describes the method in general, not the internal architecture of our in-house development. Missing data and unresolved conditions must remain visible. A reproducible calculation is not, by itself, proof that a physical component is suitable for use.
What role does artificial intelligence play?
AI can support development work, for example by helping to organise technical information, structure a task or document results. It does not replace sound calculations or the necessary engineering assessment.
Our principle is therefore: Calculate. Do not guess. A shape that looks plausible is not the deciding factor. Traceable foundations and verification appropriate to the application are what matter.
Our application: AI-assisted engineering design
At MX Service, we already use our in-house development for engineering design tasks. We also have practical experience with AI support on CNC milling machines. We assess which support would be useful for a new project against its specific requirements.
The rotor assembly of the MX-Pathfinder development project offers an insight into our work. The engineering film shows a digital development stage, not evidence of approval for manufacturing or flight.
Explore the topic through an interview
In a Mars Chroniken interview, Josefine Lissner and Lin Kayser of LEAP 71 explain how they translate engineering knowledge into computational rules. They also discuss the importance of practical testing and the targeted use of AI. The conversation offers another perspective on the subject; it does not document or assess MX Service's in-house development.
Watch the original Mars Chroniken interview, in GermanComputational Engineering explained from 26:47Engineering knowledge and practical verification from 30:03
Source: Mars Chroniken, “Leap 71 packt aus: Warum sie Europa den Rücken gekehrt haben”. The explanation above is our own summary, not a direct quotation. Achievements described by LEAP 71 in the interview should not be understood as achievements of MX Service.
Computational Engineering for your business
Are you looking for support with a specific development or design task? We actively provide Computational Engineering for clients. Tell us about the intended function and your goal so we can agree a suitable scope of work. You do not need to send confidential design documents with your initial enquiry.