SQL (PostgreSQLRare
Used by 1 of 3.440 companies (0.0%)
startupVerified
Qymatix
- Location
- Karlsruhe· Baden-Württemberg
- Industry
- ai / predictive-sales-analytics / b2b-saas
- Founded
- 2013
- Employees
- 11-50
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
MSSQL)Rare
Used by 1 of 3.440 companies (0.0%)
Spring-Boot-MiddlewareRare
Used by 1 of 3.440 companies (0.0%)
TableauRare
Used by 1 of 3.440 companies (0.0%)
Power-BI-Konnektoren]Rare
Used by 1 of 3.440 companies (0.0%)
Scikit-learnRare
Used by 3 of 3.440 companies (0.1%)
SAP-Rare
Used by 4 of 3.440 companies (0.1%)
CRM-IntegrationenRare
Used by 6 of 3.440 companies (0.2%)
TensorFlowRare
Used by 28 of 3.440 companies (0.8%)
[PythonRare
Used by 83 of 3.440 companies (2.4%)
JavaRare
Used by 115 of 3.440 companies (3.3%)
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
- 7Learnings2 shared techsBerlinai / retail-price-optimization[PythonTensorFlowGCPKubernetes]
- aimed analytics2 shared techsBonnbiotech / healthtech (biomedizinische Datenanalyse)[PythonTensorFlowPostgreSQL]
- CloudMade2 shared techsStuttgartAutomotive SaaS / Connected Car / Personalization-AIPythonGoJavaKafka
- cureVision GmbH2 shared techsPotsdamhealthtech / AI-imaging / wound-care[PythonPyTorchTensorFlowComputer-Vision
- Daedalus2 shared techsKarlsruhedeeptech / industrial-ai / precision-manufacturing[PythonPyTorchTensorFlowCAD
- hexafarms GmbH2 shared techsBerlinagritech / indoor farming / ai[PythonTensorFlowComputer VisionIoT-Sensorik
Same location
Local tech ecosystem
- ILOS ProjectsKarlsruheRenewable Energy / Solar Project DevelopmentGISPythonPlant-Engineering-ToolsEnergy-Yield-Modelling
- Chrono24Karlsruhee-commerce / marketplace / luxury-watches[Java (Spring)KotlinTypeScriptReact
- DealfrontKarlsruhesaas / sales-intelligence / gtm / b2b-marketing[TypeScriptReactNode.jsPython
- DaedalusKarlsruhedeeptech / industrial-ai / precision-manufacturing[PythonPyTorchTensorFlowCAD
- Kipu QuantumKarlsruhedeeptech / quantum computing[PythonQiskitNumPyC++
- WorkwiseKarlsruhehr-tech / recruiting-platform / saas[Ruby on RailsPostgreSQLElasticSearchReact
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