Robotics-Vendor-APIsRare
Used by 1 of 3.440 companies (0.0%)
scaleupVerified
Unchained Robotics
- Location
- Bielefeld· Nordrhein-Westfalen
- Industry
- Robotics / Saas / Industrial
- Founded
- 2019
- Employees
- 51-200
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
ROS 2Rare
Used by 11 of 3.440 companies (0.3%)
KubernetesRare
Used by 151 of 3.440 companies (4.4%)
TypeScriptUncommon
Used by 451 of 3.440 companies (13.1%)
ReactCommon
Used by 724 of 3.440 companies (21.0%)
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
- Alasco4 shared techsMünchencontech / fintechReactTypeScriptPythonAWS
- AMBOSS4 shared techsBerlinHealthtech / Saas / AiTypeScriptReactNode.jsPython
- Cargoboard4 shared techsPaderbornlogistics/saasTypeScriptReactPythonCloud
- Circus Group4 shared techsHamburgai / robotics / food-service-automation[PythonROS 2C++TypeScript
- Flagright4 shared techsBerlinfintech / regtechPythonTypeScriptReactKubernetes
- Plan4Better4 shared techsMünchensaas/urban-techPythonFastAPIPostGISTypeScript
Same location
Local tech ecosystem
- paddyBielefeldEdTech / AI-Plattform für Lehrkräfte / K-12TypeScriptNext.jsPython (LLM-Pipelines)Vector-DB
- TentrisBielefeldsaas/deeptechC++RustGraph Databases
- easimoBielefeldproptech / saasCloud ERPProperty ManagementSaaSWeb-Plattform
- KontoriBielefeldfintech/saasPythonERP-IntegrationAutomation
- lowcloudBielefeldsaasCloudKubernetesCICD
- mirasuBielefeldHealthtech / AiPythonLLM-APIsHealthcare-DatenmodelleTypeScript
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