ROSRare
Used by 63 of 3.440 companies (1.8%)
scaleupVerified
Agile Robots
- Location
- München· Bayern
- Industry
- Robotics / Deeptech
- Founded
- 2018
- Employees
- 500+
- Total funding
- €220.0 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
EmbeddedRare
Used by 101 of 3.440 companies (2.9%)
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 Agile Robots compares to its industry and city.
Funding position
Top 5%
More funding than 95% of all companies with reported funding.
Industry median: €220.0 Mio
Similar companies
Similar companies
Similar stack
At least 2 shared technologies
- Goodbytz5 shared techsHamburgFoodTech / Robotics / Kitchen AutomationROSC++PythonComputer Vision
- Magazino5 shared techsMünchenRobotics / LogisticsROSPythonC++Computer Vision
- Micropsi Industries5 shared techsBerlinai / robotics / cognitive-automationPythonC++ROSPyTorch
- Neura Robotics5 shared techsStuttgartRobotics / AiC++PythonROSEmbedded
- Sereact5 shared techsStuttgartAI / Robotics / Warehouse AutomationPythonPyTorchComputer VisionLLMs
- ARX Robotics4 shared techsMünchenDefensetech / RoboticsROSC++PythonComputer Vision
Same location
Local tech ecosystem
- Celonis SEMünchenProcess MiningPythonReactKubernetesJava
- FlixBus / Flix SEMünchenMobility TechJavaPythonReactAWS
- LiliumMünchenaviation / eVTOL / cleantechC++PythonROSMatlab/Simulink
- IONITYMünchencleantechGoKotlinKubernetesOCPP
- Personio SEMünchenHR TechTypeScriptReactJavaKubernetes
- Scalable CapitalMünchenFinTech / WealthTechJavaKotlinReactAWS
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