5 teams, 24 hours, we ended up with five working prototypes shipping this week.
ai hackathon mechanical engineering
AI Workshop for Mechanical Engineering, One Day Onsite
Technical documentation gets rewritten for every variant. Quotes and tenders cost engineers days. Spare parts get searched across scattered catalogs and old drawings. Maintenance logs never get analyzed in a structured way. An AI workshop, one day onsite, builds a live assistant with your team for exactly these tasks. By evening there is a running prototype that makes quotes faster or finds the spare part in seconds, not a certificate. Need more afterward, you scale straight up into the multi-day Corporathon hackathon, plus the documented competence record under EU AI Act Article 4, mandatory since 2 February 2025.
- Real prototypes instead of slides
- Facilitated by AI practitioners
- Ready to run within a week
- Documented handoff included
Built for
Technical documentation gets rewritten for every variant. Quotes and tenders cost engineers days. Spare parts get searched across scattered catalogs and old drawings. Maintenance logs never get analyzed in a structured w
Customer voices
What participants publicly say about the hackathon
Summarised takeaways from approved LinkedIn posts by teams that built with us.
From “I should really learn AI” to a shipped product, with zero coding experience.
No months of prep needed: a team, a bit of chaos, and it turned into a working product.
5 teams, 24 hours, we ended up with five working prototypes shipping this week.
From “I should really learn AI” to a shipped product, with zero coding experience.
After day one, people who had never opened a terminal were building in Claude Code.
OW
Oke Wilhelm
NavVis
The biggest effect wasn’t the tooling, it was the mindset shift: “I can build this myself.”
NT
NavVis Team
Marketing & ops
After day one, people who had never opened a terminal were building in Claude Code.
OW
Oke Wilhelm
NavVis
The biggest effect wasn’t the tooling, it was the mindset shift: “I can build this myself.”
NT
NavVis Team
Marketing & ops
The format
Knowledge turns into a working prototype.
AI workshop for mechanical engineering, one day onsite on documentation, quotes and spare parts. Entry point before the hackathon.
01
Where industrial teams lose time
Technical documentation gets rewritten for every variant. Quotes and tenders cost engineers days. Spare parts get searched across scattered catalogs and old drawings. Maintenance logs never get analyzed in a structured way. An AI workshop, one day onsite, builds a live assistant with your team for exactly these tasks. By evening there is a running prototype that makes quotes faster or finds the spare part in seconds, not a certificate. Need more afterward, you scale straight up into the multi-day Corporathon hackat
02
What the team builds
Challenges from the plant and engineering. A documentation assistant as a Custom GPT that turns bills of materials and specifications into operating and maintenance texts. A quote pipeline in n8n that reads tenders, extracts line items and fills calculation templates. A spare part search with Claude Code across your catalogs and drawings. A maintenance log analyzer built in Lovable, plus an engineering research assistant for standards and material data.
03
One week to your Corporathon
Want more after the workshop day? You move straight into the multi-day Corporathon hackathon. Here is how that path runs. 1. Intro call, we understand products, production and pain. 2. Tools and challenges call, we pick the automations with the biggest lever. 3. Finalizing data and access, ERP, documentation, catalog data. 4. Preparation, we set up environment and sample data. 5. Hackathon days, tool workshop in the morning, sprint on the prototype, pitches at the end.
04
Classic training vs. Corporathon
A training shows engineers AI on slides. A Corporathon delivers the quote assistant that halves the next tender. That keeps team usage high instead of vanishing after a few weeks.
Output, not slides
A Corporathon is not a seminar. It is a facilitated sprint where teams rebuild real work with AI.
0 week
from scope to ready-to-run sprint
0 formats
Spark, Ignite and Blaze
0 steps
from call to documented handoff
How it works
Clear steps from scope to handoff.
01
Intro call
Corporathon + sponsor · goal, scope and date
02
Challenge design
Corporathon + team leads · real use cases and tool stack
03
Data & access
Client · approved data, roles and boundaries
04
Tool workshop
Corporathon · teams can use the stack
05
Hackathon sprint
Teams · working prototypes
Next step
Ready for your Corporathon?
Book a discovery call directly, we clarify goal, format and date in the call.
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FAQ
Questions that should be clear before the first call.
AI workshop for mechanical engineering, one day onsite on documentation, quotes and spare parts. Entry point before the hackathon.
Technical documentation gets rewritten for every variant. Quotes and tenders cost engineers days. Spare parts get searched across scattered catalogs and old drawings. Maintenance logs never get analyzed in a structured way. An AI workshop, one day onsite, builds a live assistant with your team for exactly these tasks. By evening there is a running prototype that makes quotes faster or finds the …
Challenges from the plant and engineering. A documentation assistant as a Custom GPT that turns bills of materials and specifications into operating and maintenance texts. A quote pipeline in n8n that reads tenders, extracts line items and fills calculation templates. A spare part search with Claude Code across your catalogs and drawings. A maintenance log analyzer built in Lovable, plus an …
Want more after the workshop day? You move straight into the multi-day Corporathon hackathon. Here is how that path runs. 1. Intro call, we understand products, production and pain. 2. Tools and challenges call, we pick the automations with the biggest lever. 3. Finalizing data and access, ERP, documentation, catalog data. 4. Preparation, we set up environment and sample data. 5. Hackathon days, …
A training shows engineers AI on slides. A Corporathon delivers the quote assistant that halves the next tender. That keeps team usage high instead of vanishing after a few weeks.
Can AI handle our technical documentation? Yes. The assistant works with your bills of materials, specifications and existing manuals. It produces drafts in your format that experts approve. That removes the busywork without giving up technical control. What about CAD and design data? We build CAD-adjacent assistants for research, standards and material data and connect to metadata from your …
You decide which data enters the sprint. Access, privacy and boundaries are agreed upfront and we only work with approved material.
You do. Prototypes, automations, workflows, prompts and generated code belong to your company after the sprint.
We work with the stack that fits you — LLM APIs, automation and data platforms, and your existing systems.
Teams of four to six work best. Overall we run everything from a single team up to several dozen participants.
All three work. On site creates the strongest momentum, remote is leaner logistically, hybrid is the usual compromise for distributed sites.