Used by 1 of 3.440 companies (0.0%)
Vytal Global
- Location
- Köln· Nordrhein-Westfalen
- Industry
- Foodtech / Sustainability
- Founded
- 2019
- Employees
- 51-200
- Total funding
- €14.2 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.
Used by 2 of 3.440 companies (0.1%)
Used by 8 of 3.440 companies (0.2%)
Used by 12 of 3.440 companies (0.3%)
Used by 1.317 of 3.440 companies (38.3%)
In context
Raw numbers say little — here's how Vytal Global compares to its industry and city.
More funding than 60% of all companies with reported funding.
Industry median: €14.2 Mio
Similar companies
Similar companies
Similar stack
At least 2 shared technologies
- AX Semantics (rebranding → axite)2 shared techsStuttgartSaas / Ai / Nlg / ContentPythonDjangoeigenes NLG-FrameworkLLM-Integration
- BlueHabits2 shared techsDüsseldorfhealthtech / aiFlutterReact NativePythonML
- Coya2 shared techsBerlininsurtech / digital-insurancePythonDjangoTypeScriptBaFin-konforme Cloud
- DORA Digitale Orthopaedie Anwendungen GmbH2 shared techsLeipzigmedtech / healthtechFlutterReact NativePythonKI
- DORA GmbH (Produkt: ActiveTEP)2 shared techsLeipzighealthtech/digital-healthFlutterReact NativePythonCloud
- ecoligo2 shared techsBerlincleantech / fintech (Solar-Crowdinvesting & B2B-Solar-as-a-Service)PythonDjangoReactIoT-Monitoring
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
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
