Mobile (iOSRare
Used by 24 of 3.440 companies (0.7%)
startupVerified
Vamo
- Location
- Köln· Nordrhein-Westfalen
- Industry
- cleantech / heat-pumps / b2c
- Founded
- 2021
- Employees
- 51-200
- Total funding
- €7.6 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
Android)Rare
Used by 39 of 3.440 companies (1.1%)
IoTUncommon
Used by 241 of 3.440 companies (7.0%)
AWSUncommon
Used by 252 of 3.440 companies (7.3%)
Node.jsUncommon
Used by 346 of 3.440 companies (10.1%)
TypeScriptUncommon
Used by 451 of 3.440 companies (13.1%)
In context
Raw numbers say little — here's how Vamo compares to its industry and city.
Funding position
Top 56%
More funding than 44% of all companies with reported funding.
Industry median: €7.6 Mio
Similar companies
Similar companies
Similar stack
At least 2 shared technologies
- Flip5 shared techsStuttgarthrtech / employee-experience / saasTypeScriptReactNode.jsAWS
- Zava4 shared techsBerlinHealthTech / Telemedizin / Digital HealthTypeScriptReactNode.jsPython
- a2zebra GmbH3 shared techsBerlinedtechEmbedded SystemsIoTMobile (iOSAndroid)
- AMBOSS3 shared techsBerlinHealthtech / Saas / AiTypeScriptReactNode.jsPython
- Appinio3 shared techsHamburgMarket Research / SaaS / Data AnalyticsTypeScriptReactPythonML
- Baobab Insurance3 shared techsBerlinInsurTech / CybersecurityTypeScriptReactNode.jsAWS
Same location
Local tech ecosystem
- DeepL SEKölnAI / NLPPythonPyTorchC++Rust
- 1NCEKölniot / connectivity / global-simGoPythonKubernetesAWS
- Sastrify GmbHKölnsaas / procurementReactNode.jsPythonCloud
- Spot My EnergyKölnEnergy / GreenTech / Strommarkt-OptimierungEnergy-Trading-APIsPythonCloudDynamic Pricing Algorithmen
- kyp.aiKölnai / process-intelligence / workforce-analytics[PythonC#AWSReact
- EternalKölnsustainability/carbonPythonCloudBlockchainCarbon Credits
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