Medical ImagingRare
Used by 11 of 3.440 companies (0.3%)
startupVerified
DeepSpin GmbH
- Location
- München· Bayern
- Industry
- MedTech / AI
- Founded
- 2018
- Employees
- 11-50
- Total funding
- €30.0 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
CUDARare
Used by 20 of 3.440 companies (0.6%)
PyTorchRare
Used by 117 of 3.440 companies (3.4%)
C++Uncommon
Used by 195 of 3.440 companies (5.7%)
PythonCommon
Used by 1.317 of 3.440 companies (38.3%)
In context
Raw numbers say little — here's how DeepSpin GmbH compares to its industry and city.
Funding position
Top 27%
More funding than 73% of all companies with reported funding.
Industry median: €30.0 Mio
Similar companies
Similar companies
Similar stack
At least 2 shared technologies
- DeepL SE4 shared techsKölnAI / NLPPythonPyTorchC++Rust
- ONE WARE GmbH4 shared techsBerlinindustrial-ai / automl / edge-ai / b2b-saas[AutoML-Plattform „ONE AI" (proprietär)neuronale Architektur-Suche (NAS)PythonPyTorch
- yasp4 shared techsMünchenDeepTech / AI Compiler / Model OptimisationPythonC++MLIRLLVM
- Agile Robots3 shared techsMünchenRobotics / DeeptechPythonC++ROSPyTorch
- Aleph Alpha3 shared techsFrankfurt am MainAI / LLM / GovTechPythonPyTorchCUDAKubernetes
- Deep North3 shared techsMünchenAi / Video-AnalyticsPythonCUDAPyTorchEdge-Devices
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