Optical EngineeringRare
Used by 1 of 3.440 companies (0.0%)
startupVerified
Gixel
- Location
- Karlsruhe· Baden-Württemberg
- Industry
- DeepTech / AR/VR Hardware / Optical Displays
- Founded
- 2022
- Employees
- 11-50
- Total funding
- €5.0 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
See-Through-Display-StacksRare
Used by 1 of 3.440 companies (0.0%)
Matlab-ToolchainRare
Used by 1 of 3.440 companies (0.0%)
FPGARare
Used by 18 of 3.440 companies (0.5%)
EmbeddedRare
Used by 101 of 3.440 companies (2.9%)
PythonCommon
Used by 1.317 of 3.440 companies (38.3%)
In context
Raw numbers say little — here's how Gixel compares to its industry and city.
Funding position
Top 65%
More funding than 35% of all companies with reported funding.
Industry median: €5.0 Mio
Similar companies
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Similar stack
At least 2 shared technologies
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- Amazonen-Werke (Amazone)2 shared techsOsnabrückagritech / precision-farming / iotEmbeddedIoTISOBUSPython
- ARQUE Systems2 shared techsAachenDeepTech / Quantum Computing / SemiconductorQuantenchip (Elektronen in Halbleitern)CryogenicsFPGAPython
- Atlas Elektronik2 shared techsBremerhavendefense-tech / maritime / sonarC++PythonMATLABEmbedded
- ATMOS Space Cargo2 shared techsBerlinNewSpace / Reusable Return Capsules / Orbital LogisticsSystems-EngineeringIAD-HeatshieldEmbeddedPython
Same location
Local tech ecosystem
- ILOS ProjectsKarlsruheRenewable Energy / Solar Project DevelopmentGISPythonPlant-Engineering-ToolsEnergy-Yield-Modelling
- Chrono24Karlsruhee-commerce / marketplace / luxury-watches[Java (Spring)KotlinTypeScriptReact
- DealfrontKarlsruhesaas / sales-intelligence / gtm / b2b-marketing[TypeScriptReactNode.jsPython
- DaedalusKarlsruhedeeptech / industrial-ai / precision-manufacturing[PythonPyTorchTensorFlowCAD
- Kipu QuantumKarlsruhedeeptech / quantum computing[PythonQiskitNumPyC++
- WorkwiseKarlsruhehr-tech / recruiting-platform / saas[Ruby on RailsPostgreSQLElasticSearchReact
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