Time-SeriesRare
Used by 3 of 3.440 companies (0.1%)
startupVerified
ENLYZE
- Location
- Köln· Nordrhein-Westfalen
- Industry
- Manufacturing AI / Industrial IoT / SaaS
- Founded
- 2018
- 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
OPC-UARare
Used by 5 of 3.440 companies (0.1%)
Edge-ComputingRare
Used by 5 of 3.440 companies (0.1%)
MLUncommon
Used by 447 of 3.440 companies (13.0%)
CloudCommon
Used by 565 of 3.440 companies (16.4%)
PythonCommon
Used by 1.317 of 3.440 companies (38.3%)
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
- ACCURE Battery Intelligence4 shared techsAachenEnergy / Battery Analytics / Predictive Maintenance SaaSPythonMLTime-SeriesCloud
- ai-omatic solutions4 shared techsHamburgSaaS / AI / Predictive Maintenance / Industrial IoTPythonMLTime-SeriesIoT-Integration
- ai|coustics3 shared techsBerlinAI / Audio / Generative AI / Speech EnhancementPythonMLGenerative Audio AISpeech Enhancement
- AIPERIA3 shared techsStuttgartai/retailAIMLPythonDemand Forecasting
- akirolabs3 shared techsBerlinai / procuretech / saasPythonAIMLReact
- Appinio3 shared techsHamburgMarket Research / SaaS / Data AnalyticsTypeScriptReactPythonML
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