CRM-IntegrationRare
Used by 8 of 3.440 companies (0.2%)
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
NLPUncommon
Used by 184 of 3.440 companies (5.3%)
MLUncommon
Used by 447 of 3.440 companies (13.0%)
AIUncommon
Used by 465 of 3.440 companies (13.5%)
PythonCommon
Used by 1.317 of 3.440 companies (38.3%)
In context
Raw numbers say little — here's how Placed compares to its industry and city.
Industry peers
59
59 companies in the same industry
16 of those in Berlin
Similar companies
Similar companies
Same industry
Competitors and peers
Similar stack
At least 2 shared technologies
- amaiko4 shared techsViechtachaiPythonAIMLNLP
- Arctis AI4 shared techsMünchencontech / ai / legaltechAIMLNLPPython
- Aurelytix4 shared techsHamburgfintechPythonAIMLERP-Integration
- Aurio4 shared techsMünchenai/hrPythonAIMLNLP
- azuza4 shared techsNeussfintech/aiPythonAIMLVoice Recognition
- BAU AI4 shared techsDuisburgcontechPythonAIMLNLP
Same location
Local tech ecosystem
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