Computer-Vision (3D-Bounding-BoxesRare
Used by 1 of 3.440 companies (0.0%)
scaleupVerified
understand.ai
- Location
- Karlsruhe· Baden-Württemberg
- Industry
- ai / automotive / autonomous-driving / data-annotation
- Founded
- 2017
- Employees
- 51-200
- Total funding
- €2.8 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
Semantic-Segmentation)Rare
Used by 1 of 3.440 companies (0.0%)
proprietäre Annotations-ToolsRare
Used by 1 of 3.440 companies (0.0%)
ROS-Integrationen]Rare
Used by 1 of 3.440 companies (0.0%)
DockerRare
Used by 13 of 3.440 companies (0.4%)
[PythonRare
Used by 83 of 3.440 companies (2.4%)
PyTorchRare
Used by 117 of 3.440 companies (3.4%)
KubernetesRare
Used by 151 of 3.440 companies (4.4%)
AWSUncommon
Used by 252 of 3.440 companies (7.3%)
In context
Raw numbers say little — here's how understand.ai compares to its industry and city.
Funding position
Top 78%
More funding than 22% of all companies with reported funding.
Industry median: €2.8 Mio
Similar companies
Similar companies
Similar stack
At least 2 shared technologies
- Daedalus4 shared techsKarlsruhedeeptech / industrial-ai / precision-manufacturing[PythonPyTorchTensorFlowCAD
- cureVision GmbH3 shared techsPotsdamhealthtech / AI-imaging / wound-care[PythonPyTorchTensorFlowComputer-Vision
- Epignostix GmbH3 shared techsHeidelberghealthtech / ai-diagnostics / oncology / saas[PythonPyTorchDNA-Methylom-ML-ModelleFastAPI
- experial3 shared techsKölnai / enterprise-ai / nlp[PythonPyTorchLLM-Fine-Tuning (LoRA)TypeScript
- i2x3 shared techsBerlinhealthtech/aiPythonPyTorchASRNLP
- Kubion GmbH3 shared techsOsnabrückindustrial-ai / computer-vision / foodtech / quality-management[PythonPyTorchComputer-Vision-Pipelines (OpenCVYOLO)
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