ML für Healthcare-Entity-RecognitionRare
Used by 1 of 3.440 companies (0.0%)
startupVerified
Alpha Sophia
- Location
- Köln· Nordrhein-Westfalen
- Industry
- healthtech / data-platform / medical-intelligence
- Founded
- 2022
- Employees
- 11-50
- Total funding
- €1.0 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
FHIR-Integrationen]Rare
Used by 1 of 3.440 companies (0.0%)
HL7Rare
Used by 4 of 3.440 companies (0.1%)
ElasticsearchRare
Used by 9 of 3.440 companies (0.3%)
GCPRare
Used by 14 of 3.440 companies (0.4%)
[PythonRare
Used by 83 of 3.440 companies (2.4%)
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
Raw numbers say little — here's how Alpha Sophia compares to its industry and city.
Funding position
Top 93%
More funding than 7% of all companies with reported funding.
Industry median: €1.0 Mio
Similar companies
Similar companies
Similar stack
At least 2 shared technologies
- Autonomo Technologies4 shared techsHamburgai / saas / autonomous-agents[PythonTypeScriptLangChainLangGraph
- Makersite GmbH4 shared techsStuttgartsaas / supply-chain / product-lifecycle / sustainability-analytics[PythonKotlinReactTypeScript
- monco.ai4 shared techsMünchenai / construction-tech[PythonPyTorchTypeScriptReact
- Quality Match GmbH4 shared techsHeidelbergai / data-annotation / ml-training-data[PythonTypeScriptReactPostgreSQL
- vialytics GmbH4 shared techsStuttgartgovtech / saas / road-management / computer-vision[PythonPyTorchComputer-Vision (Semantic-SegmentationYOLO)
- AnyDesk3 shared techsStuttgartsaas/itC++RustGoTypeScript
Same location
Local tech ecosystem
- DeepL SEKölnAI / NLPPythonPyTorchC++Rust
- 1NCEKölniot / connectivity / global-simGoPythonKubernetesAWS
- Sastrify GmbHKölnsaas / procurementReactNode.jsPythonCloud
- Spot My EnergyKölnEnergy / GreenTech / Strommarkt-OptimierungEnergy-Trading-APIsPythonCloudDynamic Pricing Algorithmen
- kyp.aiKölnai / process-intelligence / workforce-analytics[PythonC#AWSReact
- EternalKölnsustainability/carbonPythonCloudBlockchainCarbon Credits
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