GCP]Rare
Used by 3 of 3.440 companies (0.1%)
startupVerified
monco.ai
- Location
- München· Bayern
- Industry
- ai / construction-tech
- Founded
- 2023
- Employees
- 1-10
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
[PythonRare
Used by 83 of 3.440 companies (2.4%)
PyTorchRare
Used by 117 of 3.440 companies (3.4%)
PostgreSQLRare
Used by 152 of 3.440 companies (4.4%)
TypeScriptUncommon
Used by 451 of 3.440 companies (13.1%)
ReactCommon
Used by 724 of 3.440 companies (21.0%)
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
- Alpha Sophia4 shared techsKölnhealthtech / data-platform / medical-intelligence[PythonTypeScriptReactPostgreSQL
- Autonomo Technologies4 shared techsHamburgai / saas / autonomous-agents[PythonTypeScriptLangChainLangGraph
- experial4 shared techsKölnai / enterprise-ai / nlp[PythonPyTorchLLM-Fine-Tuning (LoRA)TypeScript
- Luminovo4 shared techsMünchenVertical SaaS / Electronics / Supply-Chain AI / EMS-SoftwarePythonTypeScriptReactPyTorch
- Makersite GmbH4 shared techsStuttgartsaas / supply-chain / product-lifecycle / sustainability-analytics[PythonKotlinReactTypeScript
- Quality Match GmbH4 shared techsHeidelbergai / data-annotation / ml-training-data[PythonTypeScriptReactPostgreSQL
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