Python (LLM-Pipelines)Rare
Used by 1 of 3.440 companies (0.0%)
startupVerified
paddy
- Location
- Bielefeld· Nordrhein-Westfalen
- Industry
- EdTech / AI-Plattform für Lehrkräfte / K-12
- Founded
- 2024
- 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
KMK-konforme DatenhaltungRare
Used by 1 of 3.440 companies (0.0%)
DSGVO-CloudRare
Used by 2 of 3.440 companies (0.1%)
Vector-DBRare
Used by 6 of 3.440 companies (0.2%)
Next.jsRare
Used by 44 of 3.440 companies (1.3%)
TypeScriptUncommon
Used by 451 of 3.440 companies (13.1%)
In context
Raw numbers say little — here's how paddy 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
- paddy (DigitalErleben)4 shared techsBielefeldedtech / ai-fuer-lehrkraefte / k-12TypeScriptNext.jsPythonVector-DB
- 42watt2 shared techsMünchencleantech / proptech / energy-renovationTypeScriptNext.jsPython-DatenanalyseCRM-Integrationen
- Ansehn2 shared techsMannheimAi / Search / MarketingPythonLLM-APIsTypeScriptNext.js
- artefacts2 shared techsStuttgartCreator-Economy / Marketplace / SaasTypeScriptNext.jsNode.jsPostgreSQL
- BirdsView2 shared techsLeipzigai / e-commerce-crm / saas[LLMsAgent-Framework („Avis")PythonTypeScript
- Claro2 shared techsBerlinfintechTypeScriptNext.jsNode.jsPython
Same location
Local tech ecosystem
- TentrisBielefeldsaas/deeptechC++RustGraph Databases
- easimoBielefeldproptech / saasCloud ERPProperty ManagementSaaSWeb-Plattform
- KontoriBielefeldfintech/saasPythonERP-IntegrationAutomation
- lowcloudBielefeldsaasCloudKubernetesCICD
- mirasuBielefeldHealthtech / AiPythonLLM-APIsHealthcare-DatenmodelleTypeScript
- OleBielefeldsaas / handwerkAISaaSCloudMobile
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