Robotic-Scanning-ArmRare
Used by 1 of 3.440 companies (0.0%)
startupVerified
Verus Digital
- Location
- Darmstadt· Hessen
- Industry
- 3d-scanning / cultural-heritage / saas
- Founded
- 2023
- Employees
- 1-10
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
3D-Pipeline]Rare
Used by 1 of 3.440 companies (0.0%)
[PythonRare
Used by 83 of 3.440 companies (2.4%)
C++Uncommon
Used by 195 of 3.440 companies (5.7%)
In context
Comparison data missing for this company — we'll add it on the next research run.
Similar companies
Similar companies
Similar stack
At least 2 shared technologies
- Circus Group2 shared techsHamburgai / robotics / food-service-automation[PythonROS 2C++TypeScript
- Daedalus2 shared techsKarlsruhedeeptech / industrial-ai / precision-manufacturing[PythonPyTorchTensorFlowCAD
- HHLA Sky2 shared techsHamburgdrone-tech / logistics-automation[PythonROSC++Edge-Computing
- Kipu Quantum2 shared techsKarlsruhedeeptech / quantum computing[PythonQiskitNumPyC++
- OroraTech GmbH2 shared techsMünchenspacetech / earth observation / wildfire[PythonC++PyTorchSatelliten-OBC
- Zolitron2 shared techsBochumiot / waste-management / sensorik[PythonC++LoRaWANNB-IoT
Same location
Local tech ecosystem
- Focused EnergyDarmstadtdeeptech / fusion energyLaser-FusionsphysikHPCSimulation
- Focuses EnergyDarmstadtdeeptech/energy/fusionLaser FusionHigh-Energy PhysicsSimulation
- WingcopterDarmstadtMobility / Drones / Logistics / DeeptechC++ROS 2PX4-Flight-StackPython
- CompredictDarmstadtAutomotive / AI / Software-Defined Vehicles / Virtual SensorsPythonTensorFlowPyTorchEdge-AI
- Compredict GmbHDarmstadtAI / Automotive / Predictive AnalyticsVirtual Sensor TechnologyML-ModelleEdge ComputingPython
- etalyticsDarmstadtcleantech / ai / energyPythonAIMLDigital Twins
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