Cloud-MonitoringRare
Used by 1 of 3.440 companies (0.0%)
startupVerified
Cellbox Solutions
- Location
- Köln· Nordrhein-Westfalen
- Industry
- Biotech / Medtech / Warm-Chain Logistics
- Founded
- 2017
- Employees
- 11-50
- Total funding
- €3.5 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
Embedded CRare
Used by 14 of 3.440 companies (0.4%)
IoT-SensorikRare
Used by 20 of 3.440 companies (0.6%)
PythonCommon
Used by 1.317 of 3.440 companies (38.3%)
In context
Raw numbers say little — here's how Cellbox Solutions compares to its industry and city.
Funding position
Top 73%
More funding than 27% of all companies with reported funding.
Industry median: €3.5 Mio
Similar companies
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Similar stack
At least 2 shared technologies
- Annea2 shared techsHamburgcleantechPythonPyTorchTime-Series-MLAWS
- Farmers Cut2 shared techsHamburgagritech / vertical-farming / b2bEmbeddedIoT-SensorikPython
- Green City Solutions2 shared techsBerlinCleantech / Iot / ClimatetechIoTEmbedded CPythonCloud-Sensing
- hexafarms GmbH2 shared techsBerlinAgritech / Indoor Farming / AiPythonTensorFlowComputer VisionIoT-Sensorik
- ioncentric2 shared techsHeilbronndeeptech / energyPythonEmbedded CIoTML
- Metycle2 shared techsKölncleantech / circular-economyAIML (Sortier-KI)PythonReact
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?
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