NLPUncommon
Used by 184 of 3.440 companies (5.3%)
startup
Sourcera AI
- Location
- Köln· Nordrhein-Westfalen
- Industry
- ai / procurement / enterprise
- Founded
- 2025
- Employees
- 1-10
- Total funding
- €2k
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
MLUncommon
Used by 447 of 3.440 companies (13.0%)
AIUncommon
Used by 465 of 3.440 companies (13.5%)
ReactCommon
Used by 724 of 3.440 companies (21.0%)
PythonCommon
Used by 1.317 of 3.440 companies (38.3%)
In context
Raw numbers say little — here's how Sourcera AI compares to its industry and city.
Funding position
Top 100%
More funding than 0% of all companies with reported funding.
Industry median: €2k
Similar companies
Similar companies
Similar stack
At least 2 shared technologies
- Aurio5 shared techsMünchenai/hrPythonAIMLNLP
- Bitpull AI5 shared techsBerlinai / e-commercePythonAIMLVoice AI
- BOTfriends5 shared techsWürzburgai / saasPythonNLPAIML
- MAIA (Prodlane GmbH)5 shared techsLeipzigai/enterprisePythonNLPAIML
- Sanovio5 shared techsMünchenhealthtech / ai / procurementPythonAIMLNLP
- Zell (AI Sales)5 shared techsBerlinsaas / aiAIMLNLPSpeech Analytics
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