[Robotisches Großformat-3D-PrintingRare
Used by 1 of 3.440 companies (0.0%)
startupVerified
Willowprint
- Location
- Aachen· Nordrhein-Westfalen
- Industry
- cleantech / additive-manufacturing / circular-economy / proptech
- Founded
- 2024
- 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
biobasiertes Holz-Komposit-Druckmaterial (proprietär)Rare
Used by 1 of 3.440 companies (0.0%)
C++]Rare
Used by 1 of 3.440 companies (0.0%)
CAERare
Used by 5 of 3.440 companies (0.1%)
CADRare
Used by 34 of 3.440 companies (1.0%)
ROSRare
Used by 63 of 3.440 companies (1.8%)
PythonCommon
Used by 1.317 of 3.440 companies (38.3%)
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
- KiteKRAFT3 shared techsMünchencleantech / airborne-wind-energy / deeptechC++PythonROSRegelungstechnik
- AdjuCor GmbH2 shared techsMünchenmedtechEmbedded SystemsCC++Biomedizin-Sensorik
- Agile Robots2 shared techsMünchenRobotics / DeeptechPythonC++ROSPyTorch
- AI.Land2 shared techsKrefeldagritech / ai / roboticsRoboticsAIMLComputer Vision
- Algorized2 shared techsrobotics / aiPythonROSAIML
- Amarea2 shared techsSachsendeeptech3D-DruckCADEmbeddedPython
Same location
Local tech ecosystem
- Black SemiconductorAachenSemiconductor / Graphene Photonics / Chip-InterconnectGraphene-Photonics-InterconnectCVD-Graphene-Wafer-ProzessOptical-Chip-to-Chip-LinksPython/C++-Characterization-Toolchain
- cylibAachenCleanTech / Battery RecyclingChemieProcess EngineeringPythonSCADA
- ClinomicAachenMedTech / AI / Intensive Care / HealthTech[PythonAIML (Mona AI-Assistent)IoT-Medizingeräte-Integration
- FibreCoatAachenMaterials / DefensetechMaterialwissenschaftPythonProduktions-Automation
- VoltfangAachenClimatetech / EnergyBattery-ManagementPythonCloud-IoT
- PL BioScienceAachenBioTech / LifeScience / Cell Culture[GMP-ProduktionsprozesseELAREM-Plattform (HPL)Lab-AutomationQuality-Management-Software
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