PX4-Flight-StackRare
Used by 1 of 3.440 companies (0.0%)
scaleupVerified
Wingcopter
- Location
- Darmstadt· Hessen
- Industry
- Mobility / Drones / Logistics / Deeptech
- Founded
- 2017
- Employees
- 201-500
- Total funding
- €60.0 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
Edge-ComputeRare
Used by 2 of 3.440 companies (0.1%)
ROS 2Rare
Used by 11 of 3.440 companies (0.3%)
GISRare
Used by 22 of 3.440 companies (0.6%)
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 Wingcopter compares to its industry and city.
Funding position
Top 17%
More funding than 83% of all companies with reported funding.
Industry median: €60.0 Mio
Similar companies
Similar companies
Similar stack
At least 2 shared technologies
- enabl3 shared techsKarlsruhelogistics / robotics / material-handling-as-a-service[Edge-AI (EdgeKit in Kooperation mit PCB-Arts)7-Kamera-SetupLiDARLaser-Sensorik
- Filics GmbH3 shared techsMünchenRobotics / IntralogisticsROS 2C++PythonPyTorch
- Olive Robotics3 shared techsMünchenrobotics/aiROS 2PythonC++Embedded Linux
- Prefiro GmbH3 shared techsOsnabrückagtech / farm-robotics / harvest-automation / computer-vision[Computer-Vision (YOLOPyTorch)Präzisions-Robotik (proprietäre Aktuatoren)ROS 2
- R3 Robotics3 shared techsNeussRobotics / Industrial AutomationROS 2C++PythonComputer Vision
- Revobotik GmbH3 shared techsDresdenRobotics / Industrial Delta-/Parallel-KinematicsROS 2C++PythonKinematik-Simulation
Same location
Local tech ecosystem
- Focused EnergyDarmstadtdeeptech / fusion energyLaser-FusionsphysikHPCSimulation
- Focuses EnergyDarmstadtdeeptech/energy/fusionLaser FusionHigh-Energy PhysicsSimulation
- CompredictDarmstadtAutomotive / AI / Software-Defined Vehicles / Virtual SensorsPythonTensorFlowPyTorchEdge-AI
- Compredict GmbHDarmstadtAI / Automotive / Predictive AnalyticsVirtual Sensor TechnologyML-ModelleEdge ComputingPython
- etalyticsDarmstadtcleantech / ai / energyPythonAIMLDigital Twins
- KorialDarmstadtrobotics / aiPythonROSAIML
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