Reinforcement LearningRare
Used by 8 of 3.440 companies (0.2%)
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
ROSRare
Used by 63 of 3.440 companies (1.8%)
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 Mana Robotics compares to its industry and city.
Industry peers
1
1 companies in the same industry
Similar companies
Similar companies
Similar stack
At least 2 shared technologies
- Agile Robots3 shared techsMünchenRobotics / DeeptechPythonC++ROSPyTorch
- ARX Robotics3 shared techsMünchenDefensetech / RoboticsROSC++PythonComputer Vision
- Audi Ingolstadt Digital3 shared techsIngolstadtautomotive-software / adas / connected-carC++PythonAUTOSARROS
- Botfellows3 shared techsChemnitzroboticsC++PythonROSRobotik
- Devanthro3 shared techsMünchenai / roboticsPhysical AIRoboticsTeleoperationROS
- driveblocks3 shared techsMünchenmobilitytech / deeptech (autonomes Fahren off-road)C++ROSPythonCUDA
Same location
Local tech ecosystem
- SunfireDresdenCleanTech / Green Hydrogen / Solid-Oxide-Elektrolyseure / Industrial DecarbSOEC-/SOFC-StacksElektrolyse-AnlagenbauIndustrieautomationSCADA
- NovaledDresdenDeepTech / OLED-Materialien / Display SemiconductorsOrganic-Semiconductor-SyntheseDevice-PhysicsPythonMATLAB Simulation
- HeliatekDresdencleantechOrganic Photovoltaics (OPV)HeliaSolHeliaFilm-Produkte
- FMCDresdenDeepTech / Semiconductor / Memory Chips / AI InfrastructureFerroelectric Hafnium-OxideDRAM+3D-CACHE+Non-volatile Memory
- FMCDresdendeeptech / semiconductors / memory-chips / ai-infrastructureC/C++PythonEDA-ToolchainsSemiconductor-Design
- WandelbotsDresdenrobotics / saas / deeptechC++PythonNo-Code-IDE NovaRobotik-SDKs
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