ROSRare
Used by 63 of 3.440 companies (1.8%)
scaleupVerified
RobCo
- Location
- München· Bayern
- Industry
- Robotics / Industrial Automation
- Founded
- 2020
- Employees
- 51-200
- Total funding
- €38.0 Mio
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
C++Uncommon
Used by 195 of 3.440 companies (5.7%)
TypeScriptUncommon
Used by 451 of 3.440 companies (13.1%)
PythonCommon
Used by 1.317 of 3.440 companies (38.3%)
In context
Raw numbers say little — here's how RobCo compares to its industry and city.
Funding position
Top 23%
More funding than 77% of all companies with reported funding.
Industry median: €26.0 Mio
Industry peers
1
1 companies in the same industry
Similar companies
Similar companies
Same industry
Competitors and peers
Similar stack
At least 2 shared technologies
- Agile Robots3 shared techsMünchenRobotics / DeeptechPythonC++ROSPyTorch
- ARX Robotics3 shared techsMünchenDefensetech / RoboticsROSC++PythonComputer Vision
- Audi Ingolstadt Digital3 shared techsIngolstadtautomotive-software / adas / connected-carC++PythonAUTOSARROS
- Botfellows3 shared techsChemnitzroboticsC++PythonROSRobotik
- Coachwhisperer GmbH3 shared techsJenasportstech / hardware-software / live-comms[Embedded-CC++Bluetooth-LELoRa
- Devanthro3 shared techsMünchenai / roboticsPhysical AIRoboticsTeleoperationROS
Same location
Local tech ecosystem
- Celonis SEMünchenProcess MiningPythonReactKubernetesJava
- FlixBus / Flix SEMünchenMobility TechJavaPythonReactAWS
- LiliumMünchenaviation / eVTOL / cleantechC++PythonROSMatlab/Simulink
- IONITYMünchencleantechGoKotlinKubernetesOCPP
- Personio SEMünchenHR TechTypeScriptReactJavaKubernetes
- Scalable CapitalMünchenFinTech / WealthTechJavaKotlinReactAWS
Consulting on this stack
Working with a similar stack?
We help companies like this build data-driven platforms — from AI research to production deploy.
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