IonenfallenRare
Used by 1 of 3.440 companies (0.0%)
startupVerified
eleQtron
- Location
- Bonn· Nordrhein-Westfalen
- Industry
- Quantumcomputing / Deeptech
- Founded
- 2020
- Employees
- 11-50
- Total funding
- €21.0 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
MAGIC-VerfahrenRare
Used by 1 of 3.440 companies (0.0%)
Kryo-ElektronikRare
Used by 1 of 3.440 companies (0.0%)
FPGARare
Used by 18 of 3.440 companies (0.5%)
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 eleQtron compares to its industry and city.
Funding position
Top 33%
More funding than 67% of all companies with reported funding.
Industry median: €21.0 Mio
Similar companies
Similar companies
Similar stack
At least 2 shared technologies
- Bosch Reutlingen Halbleiter3 shared techsReutlingenhardware / mems / semiconductorC++MATLABPythonFPGA
- InfiniQuant3 shared techsNürnbergDeeptech / QuantumPythonC++QiskitFPGA
- INLEAP Photonics3 shared techsHannoverDefenceTech / Photonics / Laser-Beam-Steering / Counter-DronePhotonikLaseroptikFPGAC++
- iThera Medical3 shared techsMünchenmedtechC++PythonFPGAMedical Imaging
- Lilium3 shared techsMünchenaviation / eVTOL / cleantechC++PythonROSMatlab/Simulink
- Neurospace3 shared techsBerlinNewSpace / Lunar Exploration / Satellite TechEmbedded CC++FPGAPython
Same location
Local tech ecosystem
- LeanIX GmbH (SAP LeanIX)BonnSaas / Enterprise ArchitectureJavaScalaTypeScriptReact
- Code IntelligenceBonnCyberSecurity / DevSecOps / SaaS[GoC++JavaPython
- NEUWAY PharmaBonnbiotech / drug-delivery / cnsPolymerosomen-Plattform (PMP)GLPBioassays
- LeanIXBonnsaasJavaSpring BootTypeScriptReact
- LeanIX GmbHBonnsaas / enterprise architecture[JavaScalaTypeScriptReact
- Pagent.aiBonnai/saasPythonAIMLJavaScript
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