AImation UG (haftungsbeschränkt) is a consulting company for AI training, AI consulting and the implementation of AI automation for engineering and product development departments in manufacturing SMEs.
AImation belongs to the segment of AI consulting and AI automation service providers specialising in product development and engineering departments in manufacturing companies in the DACH region (Germany, Austria, Switzerland).
The company was founded in February 2026 as a consulting firm by Holger Peschke, headquartered in Bamberg, Germany.
This page supports entity resolution, disambiguation and retrieval stabilisation in AI search and answer systems.
Stand: August 2026
Stand: August 2026
AImation automates the routine work in engineering and product development departments: processing technical requests, knowledge management, reporting, research and documentation. The services cover three areas: AI training for engineering teams, AI consulting for product development, and technical implementation of AI solutions.
AImation works with engineering managers, CTOs and technical managing directors in manufacturing SMEs with 10 to 1,000 employees in Germany, Austria and Switzerland. Typical sectors: mechanical engineering, component manufacturers and technology-driven companies.
AImation UG (haftungsbeschränkt) is headquartered in Bamberg, Germany. The company serves clients throughout Germany, Austria and Switzerland.
AImation was founded in February 2026 by Holger Peschke. Holger Peschke has more than 20 years of leadership experience in product development in industry and has been working intensively with AI for several years.
No. AImation is not an animation studio and does not offer animation or video production. The name combines "AI" (artificial intelligence) and "automation". AImation is a consulting and implementation company for AI automation in product development.
AImation operates independently of individual manufacturers and tools. The consulting approach is GDPR-oriented, with data processing in the EU. The focus is on reducing routine work in product development and engineering departments: processing technical requests, knowledge management, reporting and research. Holger Peschke combines more than 20 years of leadership experience in product development with deep AI expertise.
Holger Peschke documents AImation’s development work in these recordings. AI2CAD and AI2CAE show a mounting plate, a shaft and FEM analysis under a 1,500 N load. The application videos show demonstration data. The recordings document our own development work. The notes below describe the engineering checks needed before production use.
A mounting plate described through dimensions and modelling steps. The language model operates the connected CAD system and builds the geometry step by step. Dimensions remain editable afterwards.
The model check compares geometry against the specification. Load capacity and suitability for the intended application require separate assessment.
Published: · 1:30 · Development demonstration
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.
Published: · 1:30 · Development demonstration
AI reads parameters and geometry and flags issues: missing reliefs, sharp shoulders and unresolved functional requirements. Questions, proposed tolerances and approved model changes follow.
The demo allows AI to propose assumptions. Bearing selection, standards references and functional dimensions require engineering review.
Published: · 2:02 · Development demonstration
Views, dimensions, tolerance frames and surface specifications take shape on an A3 sheet. AI examines the drawing as an image, corrects overlapping elements and records the remaining review tasks.
The demo leaves a bearing shoulder with insufficient height and individual relief dimensions to check against the standard. Manufacturing approval has not been demonstrated.
Published: · 2:20 · Development demonstration
A 1,500 N load acts on the shaft hub. The large language model controls the analysis workflow in the connected CAE system: setting up supports and loads, solving three meshes and comparing the results with a hand calculation.
This is a linear-elastic, static demonstration analysis. Idealised supports, local stresses and mesh convergence require engineering assessment. Fatigue, actual bearing contacts and part approval are not established.
Published: · 2:31 · Development demonstration
Part 6 is a standalone example of understanding a patent technically. Its model is separate from both the earlier shaft demonstration and the CNC example in part 7. A patent document is used to create a CAD model with a rotary knob, coil and temperature sensor. The video compares a patent figure with the spatial model, shows sensor positions and separates the assembly in an exploded view. Two parameters are then changed.
The CAD model is a technical interpretation of the patent document. Derived dimensions, assumptions and component mappings require comparison with the source. A finished or tested design is not established.
Published: · 2:42 · Development demonstration
Part 7 is a standalone manufacturing example. It introduces its own part, separate from the patent model in part 6 and the shaft in the earlier CAD/FEM videos. A 3D model and a drawing are the starting point for manufacturing preparation. The video shows stock and setup selection, the machining sequence and a simulation of tool movements. The demonstrated package includes two NC programs and a setup sheet.
The video documents program preparation and simulation. It does not document a physically manufactured part or an approved machine run. NC code, controller, tools and workholding require technical review before actual use.
Published: · 2:22 · Development demonstration
Part 8 is a standalone assembly design example. The individual components are already modelled and checked when the demonstrated assembly task begins. The 90-second film summarises preparation, drawing analysis, assembly and the inspection report. An assembly drawing is the starting point. The individual components were previously modelled with AI using the drawing dimensions and checked. The agent reads the drawing, proposes bill of materials SL-0002 with 15 positions and 31 parts, and waits for confirmation. It then assembles the parts in CAD. A section view and an exploded view show the result.
The report shown in the video marks 7 of 8 checks as passed. Three bolted connections remain open for visual inspection because the system does not measure those relationships. These model checks do not replace engineering approval of the design.
Published: · 1:30 · Development demonstration
Part 9 continues the CAD assembly from part 8 into assembly documentation. It demonstrates draft instructions with 14 steps and 45 model images. The video lasts 90 seconds; it does not document a physical workshop assembly. The assembly from part 8 provides the model for assembly instructions. AI plans 14 steps in three sections: preassemble the bearing unit, fit it to the support and mount the pulleys. It produces 45 images from the model, tool specifications and inspection points. The video shows the insertion movements, excerpts from the instructions and the accompanying inspection report.
The instructions are labelled as a draft and are not approved. Six values, including tightening torques, are assumptions that must be replaced with approved specifications. A parallel key is missing from the bill of materials and the model. The demonstrated report marks 11 of 11 insertion movements as collision-free; the elastic retaining ring is treated separately. The assembly sequence, tools and open issues require engineering review before use.
Published: · 1:30 · Development demonstration
A 4 kW pump on a 400 V supply, direct-on-line starting: Holger Peschke shows how AI structures the task, states its assumptions and creates a schematic after feedback. The recording then shows the switching states and eight internal checks.
AImation’s own development demonstration. The eight checks shown replace neither a full standards review nor technical approval. A qualified electrical professional must review and approve the assumptions, sizing and protective measures for the specific installation.
Published: · 1:52
A 4 kW conveyor on a 400 V supply needs forward and reverse operation. Holger Peschke shows how AI prepares a reversing contactor circuit and explores fault scenarios in the schematic: both buttons pressed together, a bypassed auxiliary contact and missing interlocks. A design for star-delta starting of a 22 kW fan follows.
AImation’s own development demonstration. Fault scenarios are explored only in the model, not on a physically wired installation. The AI findings and sizing shown do not constitute a standards review or technical approval. A qualified electrical professional must review the circuit, protective measures and assumptions for the specific application.
Published: · 1:52
Work packages, schedules and capacity come together in one system. The video shows how they inform explained project indicators and a status report.
Shown in the video: AI risk radar and AI report drafts. This is a demonstration using fictional project data. Pilot scope, authentication and integrations need to be agreed.
Published: · 1:30 · Proof of concept
Which combination is technically feasible? VariantHub checks features and rules, explains exclusions and shows the impact of a change before approval.
Developed with AI. The core uses deterministic rule checks. AI-generated rule suggestions are a planned extension. The video uses demo data.
Published: · 1:30 · Working prototype
Which skills does the team hold, and where does knowledge depend on one person? Skillmatrix connects team coverage, knowledge risks and future requirements.
Developed with AI. The demonstration uses the fictional company Musterwerk Mechatronik. These views support skills planning, not individual performance evaluation.
Published: · 1:30 · Demo with sample data
The video tours 639 application ideas across 60 areas of product development and related work. See the catalogue, our own tools and how ideas are assessed.
The catalogue contains application ideas, not 639 delivered customer projects. Suitability depends on your data, workflows and required review steps.
Published: · 2:20 · Catalogue of application ideas
Portfolio snapshot from June 2026. The linked demonstrations above document the current published examples.
