V2G-ProtokolleRare
Used by 1 of 3.440 companies (0.0%)
scaleupVerified
The Mobility House
- Location
- München· Bayern
- Industry
- cleantech
- Founded
- 2009
- Employees
- 201–500
- Total funding
- €120.0 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
GoRare
Used by 80 of 3.440 companies (2.3%)
JavaRare
Used by 115 of 3.440 companies (3.3%)
KubernetesRare
Used by 151 of 3.440 companies (4.4%)
IoTUncommon
Used by 241 of 3.440 companies (7.0%)
AWSUncommon
Used by 252 of 3.440 companies (7.3%)
PythonCommon
Used by 1.317 of 3.440 companies (38.3%)
In context
Raw numbers say little — here's how The Mobility House compares to its industry and city.
Funding position
Top 9%
More funding than 91% of all companies with reported funding.
Industry median: €11.0 Mio
Industry peers
44
44 companies in the same industry
8 of those in München
Similar companies
Similar companies
Same industry
Competitors and peers
- IONITYMünchencleantechGoKotlinKubernetesOCPP
- 1KOMMA5°HamburgcleantechIoTSmart EnergyHeartbeat AISolar
- HeliatekDresdencleantechOrganic Photovoltaics (OPV)HeliaSolHeliaFilm-Produkte
- InstagridStuttgartcleantechEmbedded SystemsPythonFirmwareIoT
- Solar MaterialsMagdeburgcleantechPythonIoTRecycling-Technologie
- Feldwerke GmbHMünchencleantechIoTSolarTracking-Systeme
Similar stack
At least 2 shared technologies
- 1NCE4 shared techsKölniot / connectivity / global-simGoPythonKubernetesAWS
- AUTO1 Group SE4 shared techsBerlinAutomotive TechJavaReactPythonKubernetes
- encentive4 shared techsHamburgEnergytech / Industrial IotPythonJavaKubernetesTime-Series-DB
- FlixBus / Flix SE4 shared techsMünchenMobility TechJavaPythonReactAWS
- GetYourGuide4 shared techsBerlinTravel TechPythonGoReactKubernetes
- Hawk AI4 shared techsMünchenFintech / Regtech / AmlJavaKotlinPythonKafka
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