Digital-TwinsRare
Used by 8 of 3.440 companies (0.2%)
enterpriseVerified
Meyer Werft IT
- Location
- Osnabrück· Niedersachsen
- Industry
- maritime-tech / shipbuilding / iiot
- Founded
- 1795
- Employees
- 500+
Tech-Stack
Tech stack in context
Each entry is benchmarked against all 3.440 companies in the dataset. Rare items first — those are the more interesting choices.
RareUncommonCommonMainstream
CADRare
Used by 34 of 3.440 companies (1.0%)
SAPRare
Used by 64 of 3.440 companies (1.9%)
PythonCommon
Used by 1.317 of 3.440 companies (38.3%)
In context
Comparison data missing for this company — we'll add it on the next research run.
Similar companies
Similar companies
Similar stack
At least 2 shared technologies
- Covestro3 shared techsLeverkusenmaterials / chemtech / digital-manufacturingSAPPythonAIDigital-Twins
- MAN Energy Solutions3 shared techsOberhausenenergy-tech / industrial-iotSAPPythonDigital-TwinsIoT
- Schott3 shared techsMainzmaterials / specialty-glass / iiotSAPPythonMESDigital-Twins
- SMS group3 shared techsMönchengladbachindustrial-software / metallurgy / iiotSAPC++PythonDigital-Twins
- 3M Deutschland Neuss2 shared techsNeussmaterials / industrial-iotSAPPythonAzureML
- Alstom Transport Salzgitter2 shared techsSalzgittermobility / rail-tech / iiotC++PythonDigital-TwinsCBTC
Same location
Local tech ecosystem
- NeoTasteOsnabrückFoodTech / Restaurant-Discovery / Consumer AppiOSAndroidRestaurant-Marketing-PlattformAbo-Modell
- VisioLabOsnabrückretailtech / aiEdge AIComputer VisioniPad-basiertes Checkout
- AltosensOsnabrückiot / industrial-techKraftmessende UnterlegscheibenIoT-SensorikPredictive Maintenance
- Amazonen-Werke (Amazone)Osnabrückagritech / precision-farming / iotEmbeddedIoTISOBUSPython
- DKE-Data GmbH & Co. KGOsnabrückagritech / data platform[JavaKotlinKafkaREST
- doinstructOsnabrückhr-tech / saas / mobile-learning / frontline-workforceTypeScriptReact NativeNode.jsPython
Consulting on this stack
Working with a similar stack?
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Reuse & citation
How to cite this dataset
TechPuls is published under CC BY 4.0 — free to use, including commercially, as long as the source is credited. Here is a ready-made line for that.
Citation
Techlogia (2026). TechPuls Germany — Dataset of the German tech landscape. 3,440 companies in 245 cities. Licensed under CC BY 4.0. Available at https://techlogia.de/en/techpuls
BibTeX
@misc{techpuls,
author = {Techlogia},
title = {TechPuls Germany — Dataset of the German tech landscape},
year = {2026},
howpublished = {Online-Datensatz},
note = {CC BY 4.0},
url = {https://techlogia.de/en/techpuls}
}- Data as of
- Machine-readable access
- The same data is available as JSON via the open API — no key, no registration: /api/techpuls/cities
- Licence terms:
- CC BY 4.0