BOM-ParserRare
Used by 1 of 3.440 companies (0.0%)
startupVerified
Luminovo
- Location
- München· Bayern
- Industry
- Vertical SaaS / Electronics / Supply-Chain AI / EMS-Software
- Founded
- 2020
- Employees
- 51-200
- Total funding
- €11.0 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
LLMs (ElectronicsGPT)Rare
Used by 1 of 3.440 companies (0.0%)
PCB-CAD-ParserRare
Used by 1 of 3.440 companies (0.0%)
PyTorchRare
Used by 117 of 3.440 companies (3.4%)
PostgreSQLRare
Used by 152 of 3.440 companies (4.4%)
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 Luminovo compares to its industry and city.
Funding position
Top 47%
More funding than 53% of all companies with reported funding.
Industry median: €11.0 Mio
Similar companies
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Similar stack
At least 2 shared technologies
- Bryter5 shared techsBerlinsaas/no-code/legaltechTypeScriptReactNode.jsPython
- Certivity5 shared techsMünchenregtechPythonFastAPILLMs (OpenAIAnthropic)
- Entyre5 shared techsKölnmobility/cleantechPythonDjangoTypeScriptReact
- finmid5 shared techsBerlinFinTech / Embedded Finance / B2B LendingTypeScriptReactNode.jsPython
- Kiko Climate5 shared techsBerlinclimatetechPythonFastAPITypeScriptReact
- Leapsome5 shared techsBerlinsaas / hrtechReactTypeScriptPythonAI
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