Watch part 81:30Agentic engineering · Parts 8 + 9
A drawing becomes an assembly.
15 BOM positions, 31 parts. An AI agent reads the drawing, derives the bill of materials and assembles the prepared components.
Follow the assembly process →We show you where AI can save time in your product development: triaging requests, drafting reports and making engineering knowledge easier to find.
GDPR-compliant, processed in the EU.
We discuss your workflow and a useful next step. No obligation.
Original demonstrationViews, dimensions and tolerances. With review tasks still open.
In the pilot, we measure the time saved on one process. We check the quality too.
20+ years of product development and leadership in industry · 20,000+ LinkedIn followers · GDPR-first
Estimate time savings
Founder of AImation
I spent 20 years working in automotive development and leading teams. Today, I bring that experience to AI projects for engineering businesses.
In our initial consultation, I'll look at a specific workflow from your engineering team with you.
More about my background01 / AI2CAD + AI2CAE
Choose a step. Watch AI operate CAD and FEM in our own development recordings.
AI2CAD / 02
A photograph of a hand sketch becomes the starting point for a stepped shaft. AI separates readable dimensions from derived values and assumptions. Four questions clarify the design before modelling begins.
Missing dimensions and the simplified thread representation are explicitly agreed. The result is a design model.
Read the complete workflow
Watch part 81:30Agentic engineering · Parts 8 + 9
15 BOM positions, 31 parts. An AI agent reads the drawing, derives the bill of materials and assembles the prepared components.
Follow the assembly process →Explore further after CAD and FEM
Understand a patent, prepare a CNC program or follow an electrical schematic taking shape. Each example opens a separate development task with its own starting point.
Watch video2:4206 / Understanding patents
A patent document becomes a spatial assembly. Section views and an exploded view reveal its structure.
Watch video2:2207 / Manufacturing preparation
From a 3D model to setups, machining sequence and NC programs. The simulation shows the planned machining operations.
Follow the process1:52New series · KI × Elektro · 01
A pump needs a motor feeder. Watch how the task becomes a calculation, how assumptions are exposed and how the circuit takes shape. The switching states make the result visible.
Explore the electrical series →
Explore the fault scenarios1:52KI × Elektro · 02
Forward and reverse at once. What does the model show when interlocks are missing? Follow the fault scenarios for a conveyor and then the star-delta design for a fan.
Watch part 2 with chapters →02 / Applications
Projects, variants or skills: each 90-second recording shows a specific development stage with example data.
01 / 1:30PM Demonstrator
02 / 1:30VariantHub
03 / 1:30Skillmatrix
03 / Your workflow
Explore an example before discussing implementation. These walkthroughs use fictional data.
Example to explore
Walk through how an earlier 8D report supports root-cause analysis and what your team still needs to check.
Explore this workflow04 / Working together
Bring a workflow from your team. We discuss the task, the data and whether a pilot makes sense.
Free · 30 Min
From €1,900
€4,900 · 4 weeks
Answers to the most important questions
Your data is processed GDPR-compliant in the EU and is not used to train AI models. A data processing agreement is a matter of course. Projects under confidentiality we treat as exactly that: confidential. Which architecture is right in each case, we clarify before the project, not during.
Yes, that is not an option for us but a starting point. We select tools and architectures so that processing takes place in the EU and is transparently documented. If a desired tool cannot deliver that, we say so and suggest an alternative.
Usually yes. We connect to what you already have instead of building new island solutions. What is possible in each case, we clarify in the initial call. And if something is not possible, we tell you upfront.
No. It replaces the routine work that keeps your engineers from actually engineering: sorting, searching, writing things up. The expert judgement and the final sign-off always stay with the human. That is how we build every solution.
For the AI Landscape Map, you receive a report with prioritised use cases 3 to 5 days after the workshop. In the four-week pilot, we test one process with your data for time savings and output quality. Together, we document the steps needed before production use.
The AI Landscape Map starts at 1,900 euros for one workshop day. The four-week pilot costs 4,900 euros. Implementation starts at 5,000 euros, plus 200 to 800 euros per month. We agree the scope and price before starting.
Automation follows fixed rules: if A happens, do B. An AI agent can go further — independently researching, evaluating, and drafting proposals. For example: reading a technical request, gathering context from your systems, and presenting a draft reply. The approval stays with your team.
30-minute conversation. You get a concrete first step, even if we never work together afterwards.
Free, no obligation. Holger Peschke replies personally.
2 minutes, no prior knowledge needed