EmbeddedRare
Used by 101 of 3.440 companies (2.9%)
enterpriseVerified
SICK AG Freiburg
- Industry
- industrial-iot / sensors / automation
- Founded
- 1946
- 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
KubernetesRare
Used by 151 of 3.440 companies (4.4%)
C++Uncommon
Used by 195 of 3.440 companies (5.7%)
IoTUncommon
Used by 241 of 3.440 companies (7.0%)
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
- Corpuls4 shared techsKaiserslauternmedtech / defibrillators / iotEmbeddedC++IoTPython
- Drägerwerk4 shared techsLübeckmedtech / respiratory / safety-techC++EmbeddedPythonIoT
- Honeywell Offenbach4 shared techsOffenbach am Mainindustrial-iot / building-automationC++EmbeddedIoTPython
- Mahr4 shared techsGöttingenindustrial-iot / metrology / sensorsC++EmbeddedPythonIoT
- Maschinenfabrik Reinhausen4 shared techsRegensburgenergy-tech / transformers / iiotC++EmbeddedPythonIoT
- Samson AG4 shared techsOffenbach am Mainindustrial-iot / valves / automationEmbeddedIoTC++Python
Same location
Local tech ecosystem
- NexWafe GmbHFreiburg im Breisgaucleantech / solara (Halbleiter-Solarfertigunginterne Software: PythonLabVIEW)
- ElevaFreiburg im Breisgaubiotech / moss-bioreactor / drug-discoveryBioreaktor (Moos-System)GlycoengineeringGMP-Produktion
- Prior LabsFreiburg im BreisgauAI / Foundation Models / Tabular Data / AutoMLPythonPyTorchTabPFN (eigenes Foundation Model)Cloud
- RecydaFreiburg im Breisgaucleantech / circular-economy / saas / packagingTypeScriptReactPythonPostgreSQL
- PLAN4Freiburg im BreisgauPropTech / GreenTech / GebäudesanierungSaaS (GebäudeCheck)CloudDatenanalyse
- QurieFreiburg im BreisgaudeeptechElektrothermal CoolingHardware-SoftwareIoT
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