Enterprise-SucheRare
Used by 1 of 3.440 companies (0.0%)
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
Knowledge GraphsRare
Used by 11 of 3.440 companies (0.3%)
NLPUncommon
Used by 184 of 3.440 companies (5.3%)
CloudCommon
Used by 565 of 3.440 companies (16.4%)
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
- demi3 shared techsMünchenai / enterpriseAIMLKnowledge GraphsNLP
- SPREAD AI3 shared techsBerlintrendPythonAIMLGraph-basierte Datenmodelle
- Acyla2 shared techsSonthofenlegaltech / aiAIMLNLPCloud
- AIMI2 shared techsHamburgPropTech / AI / Real Estate Transaction AnalyticsAgentic AI (Hunderte spezialisierte Agenten)OCRNLPDocument Intelligence
- AI Spaces2 shared techsLeipzigConTech / AI / Tender Automation / SaaSDocAI-PlattformNLPLLM für DokumentenanalyseOCR
- allO2 shared techsMünchenai_foodserviceAI/MLVoice AINLPCloud
Same location
Local tech ecosystem
- Focused EnergyDarmstadtdeeptech / fusion energyLaser-FusionsphysikHPCSimulation
- Focuses EnergyDarmstadtdeeptech/energy/fusionLaser FusionHigh-Energy PhysicsSimulation
- WingcopterDarmstadtMobility / Drones / Logistics / DeeptechC++ROS 2PX4-Flight-StackPython
- CompredictDarmstadtAutomotive / AI / Software-Defined Vehicles / Virtual SensorsPythonTensorFlowPyTorchEdge-AI
- Compredict GmbHDarmstadtAI / Automotive / Predictive AnalyticsVirtual Sensor TechnologyML-ModelleEdge ComputingPython
- etalyticsDarmstadtcleantech / ai / energyPythonAIMLDigital Twins
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