Siemens-PLCRare
Used by 7 of 3.440 companies (0.2%)
enterpriseVerified
Liebherr-MCCtec Rostock
- Location
- Rostock· Mecklenburg-Vorpommern
- Industry
- industrial-machinery / maritime-cranes / iiot
- Founded
- 2002
- 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
MESRare
Used by 28 of 3.440 companies (0.8%)
C++Uncommon
Used by 195 of 3.440 companies (5.7%)
IoTUncommon
Used by 241 of 3.440 companies (7.0%)
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
- Achenbach Buschhuetten3 shared techsSiegenindustrial-machinery / rolling-millsSiemens-PLCC++MESSCADA
- Coroplast Fritz Mueller3 shared techsSolingenautomotive-tech / wiring-systemsSAPMESC++IoT
- Koenig & Bauer3 shared techsWürzburgindustrial-machinery / printing / iiotSiemens-PLCC++PythonMES
- KRAUSS-MAFFEI Berstorff3 shared techsBergisch Gladbachindustrial-machinery / extrusion / iiotSiemens-PLCC++MESPython
- Krones3 shared techsRegensburgindustrial-machinery / packaging / iiotSiemens-PLCJavaPythonMES
- Siempelkamp3 shared techsKrefeldindustrial-machinery / iiot / simulationSiemens-PLCC++CFD-SimulationMES
Same location
Local tech ecosystem
- ArtesaRostocksaas / craftsmen-toolsPWACloud-SoftwareProduktionsplanungSaaS
- CentogeneRostockhealthtech / rare-diseases / genomicsPythonBioinformaticsAWSLIMS
- MetaAIDiagnosticRostockhealthtech / ai / biomarker-diagnosticsPythonMachine LearningBiomarker Analytics
- Nordex SERostockcleantech / wind-energy / iotPythonSCADAIoTAzure
- SawayoRostockhr / saasReactNode.jsCloud
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