LLM-PipelinesRare
Used by 3 of 3.440 companies (0.1%)
scaleupVerified
StudySmarter GmbH / Vaia
- Location
- München· Bayern
- Industry
- Edtech / Ai Learning
- Founded
- 2017
- Employees
- 51-200
- Total funding
- €64.2 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
PyTorchRare
Used by 117 of 3.440 companies (3.4%)
AWSUncommon
Used by 252 of 3.440 companies (7.3%)
TypeScriptUncommon
Used by 451 of 3.440 companies (13.1%)
ReactCommon
Used by 724 of 3.440 companies (21.0%)
PythonCommon
Used by 1.317 of 3.440 companies (38.3%)
In context
Raw numbers say little — here's how StudySmarter GmbH / Vaia compares to its industry and city.
Funding position
Top 16%
More funding than 84% of all companies with reported funding.
Industry median: €64.2 Mio
Similar companies
Similar companies
Similar stack
At least 2 shared technologies
- Levity5 shared techsBerlinAi / No-Code / SaasPythonPyTorchTypeScriptReact
- Luminovo5 shared techsMünchenVertical SaaS / Electronics / Supply-Chain AI / EMS-SoftwarePythonTypeScriptReactPyTorch
- paretos5 shared techsMannheimsaas / ai (Decision Intelligence)PythonPyTorchScikit-LearnAWS
- Alasco4 shared techsMünchencontech / fintechReactTypeScriptPythonAWS
- AMBOSS4 shared techsBerlinHealthtech / Saas / AiTypeScriptReactNode.jsPython
- Bryter4 shared techsBerlinsaas/no-code/legaltechTypeScriptReactNode.jsPython
Same location
Local tech ecosystem
- Celonis SEMünchenProcess MiningPythonReactKubernetesJava
- FlixBus / Flix SEMünchenMobility TechJavaPythonReactAWS
- LiliumMünchenaviation / eVTOL / cleantechC++PythonROSMatlab/Simulink
- IONITYMünchencleantechGoKotlinKubernetesOCPP
- Personio SEMünchenHR TechTypeScriptReactJavaKubernetes
- Scalable CapitalMünchenFinTech / WealthTechJavaKotlinReactAWS
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