ROS 2Rare
Used by 11 of 3.440 companies (0.3%)
startupVerified
R3 Robotics
- Location
- Neuss· Nordrhein-Westfalen
- Industry
- Robotics / Industrial Automation
- Founded
- 2023
- Employees
- 11-50
- Total funding
- €14.0 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
PyTorchRare
Used by 117 of 3.440 companies (3.4%)
Computer VisionRare
Used by 126 of 3.440 companies (3.7%)
C++Uncommon
Used by 195 of 3.440 companies (5.7%)
PythonCommon
Used by 1.317 of 3.440 companies (38.3%)
In context
Raw numbers say little — here's how R3 Robotics compares to its industry and city.
Funding position
Top 41%
More funding than 59% of all companies with reported funding.
Industry median: €26.0 Mio
Industry peers
1
1 companies in the same industry
Similar companies
Similar companies
Same industry
Competitors and peers
Similar stack
At least 2 shared technologies
- Agile Robots4 shared techsMünchenRobotics / DeeptechPythonC++ROSPyTorch
- Filics GmbH4 shared techsMünchenRobotics / IntralogisticsROS 2C++PythonPyTorch
- Magazino4 shared techsMünchenRobotics / LogisticsROSPythonC++Computer Vision
- sensmore GmbH4 shared techsBerlinRobotics / construction AI / Autonomous Heavy EquipmentC++PythonPyTorchLidar-Fusion
- Sereact4 shared techsStuttgartAI / Robotics / Warehouse AutomationPythonPyTorchComputer VisionLLMs
- AI Superior3 shared techsDarmstadtai / consultingPythonTensorFlowPyTorchComputer Vision
Same location
Local tech ecosystem
- ScrapBees GmbHNeussCircularTech / Metallrecycling / NachhaltigkeitDigitale Logistik-PlattformOn-Site-SortierungEchtzeit-Tracking
- 3M Deutschland NeussNeussmaterials / industrial-iotSAPPythonAzureML
- azuzaNeussfintech/aiPythonAIMLVoice Recognition
- MARIMETNeussmaritimetech / logisticsSaaSMaritime SoftwareCloud
- PierburgNeussautomotive-tech / emissionsC++MATLABEmbeddedCAN-Bus
- ScrapBeesNeussWaste Management / Construction Logistics / TechTypeScriptReactLogistik-AlgorithmenCloud
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