Sustainability AnalyticsRare
Used by 1 of 3.440 companies (0.0%)
startup
the nu company
- Location
- Leipzig· Sachsen
- Industry
- foodtech
- Founded
- 2016
- Employees
- 11-50
- Total funding
- €21.0 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
D2CRare
Used by 21 of 3.440 companies (0.6%)
ShopifyRare
Used by 32 of 3.440 companies (0.9%)
E-CommerceRare
Used by 54 of 3.440 companies (1.6%)
In context
Raw numbers say little — here's how the nu company compares to its industry and city.
Funding position
Top 33%
More funding than 67% of all companies with reported funding.
Industry median: €6.0 Mio
Industry peers
16
16 companies in the same industry
Similar companies
Similar companies
Same industry
Competitors and peers
- ChocoBerlinfoodtechReactNode.jsPythonKubernetes
- FoodjiGrünwaldfoodtechIoTReactNode.jsAI
- Pacifico BiolabsBerlinfoodtechBiotechnologyFermentationFood ScienceLab Automation
- Kloster KitchenMünchenfoodtechE-CommerceWeb
- OatsomeFrankfurt am MainfoodtechE-CommerceD2C
- HäppysnäxBuchholzfoodtechFood ProductionE-Commerce
Similar stack
At least 2 shared technologies
- BLITZbee (Blitz Natural Power GmbH)3 shared techsMünchenfoodtech/beveragesE-CommerceD2CShopify
- Loosh3 shared techsBerlinconsumerE-CommerceD2CShopify
- Pick'em3 shared techsconsumerShopifyD2CE-Commerce
- atlea2 shared techsBerlinconsumer / nutritionE-CommerceD2C
- BenFit-Nutrition GmbH2 shared techsDüsseldorffoodtechE-CommerceShopify
- Camper Active GmbH (Marke: Trelino)2 shared techsDüsseldorfconsumer / outdoorShopifyE-Commerce
Same location
Local tech ecosystem
- CargobeamerLeipziglogisticsLogistik-Software (proprietär)Patentierte Wagontechnologie
- Next Frontier AI (SPRIND)LeipzigaiKIDeep Learningneue Algorithmen
- Skeleton TechnologiesLeipzigenergy / deeptechCurved GrapheneSuperkondensatorenBatterietechnologie
- XeedQLeipzigdeeptech / quantum-computing / diamond-spin-qubitsPythonC++Quantum-Control-SystemsOptics
- LecturioLeipzigEdTech / Medical-Education / Adaptive LearningRuby on RailsPythonVue.jsLLM-Tutor
- AevoloopLeipzigmaterialsci / plastics-recyclingPythonMLChemie-Simulation
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