CUDARare
Used by 20 of 3.440 companies (0.6%)
scaleupVerified
Aleph Alpha
- Location
- Frankfurt am Main· Hessen
- Industry
- AI / LLM / GovTech
- Founded
- 2019
- Employees
- 201-500
- Total funding
- €500.0 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
PyTorchRare
Used by 117 of 3.440 companies (3.4%)
KubernetesRare
Used by 151 of 3.440 companies (4.4%)
PythonCommon
Used by 1.317 of 3.440 companies (38.3%)
In context
Raw numbers say little — here's how Aleph Alpha compares to its industry and city.
Funding position
Top 3%
More funding than 97% of all companies with reported funding.
Industry median: €500.0 Mio
Similar companies
Similar companies
Similar stack
At least 2 shared technologies
- aifora3 shared techsDüsseldorfsaas / ai (AI-Driven Predictive Pricing / Retail Automation)PythonPyTorchKubernetesSnowflake
- Aignostics3 shared techsBerlinhealthtech / ai / pathology / digital-histologyPythonPyTorchWSI-PipelinesDICOM
- Apheris3 shared techsBerlinai / federated-learning / privacy / pharmaPythonPyTorchFederated-Learning-SDKKubernetes
- DeepL SE3 shared techsKölnAI / NLPPythonPyTorchC++Rust
- Deep North3 shared techsMünchenAi / Video-AnalyticsPythonCUDAPyTorchEdge-Devices
- Deepslate3 shared techsPotsdamAI / Voice / Speech-to-Speech / RealtimeText-LLMs + Speech-to-SpeechPyTorchCUDAReal-time-Inference
Same location
Local tech ecosystem
- ClarkFrankfurt am MainInsurTech / Versicherungs-PlattformRuby on RailsReactAWSMobile-First
- ENVIRIAFrankfurt am MainCleanTech / Solar / Energy-as-a-Service (Commercial & Industrial PV)Asset-Management-SoftwareIoTSCADAPython
- CMBlu Energy AGFrankfurt am MainCleanTech / Energiespeicher / Organic-Flow-BatteriesRedox-Flow-ChemieSCADAPythonMATLAB
- QualifyzeFrankfurt am Mainhealthtech / pharma / supplier-risk / ai-compliancePythonFastAPITypeScriptReact
- SolactiveFrankfurt am MainFinTech / Index-Provider / Financial DataPythonJavaQuant-ModelleCloud
- Gunzilla GamesFrankfurt am MainGaming / AAA-Studio / Web3Unreal Engine 5C++Web3-NFT-Layer
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