HyCS®-EigenverfahrenRare
Used by 1 of 3.440 companies (0.0%)
startupVerified
AMBARtec AG
- Location
- Dresden· Sachsen
- Industry
- Cleantech / Hydrogen Storage
- Founded
- 2013
- Employees
- 11-50
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
VerfahrenstechnikRare
Used by 4 of 3.440 companies (0.1%)
SCADARare
Used by 20 of 3.440 companies (0.6%)
MATLABRare
Used by 32 of 3.440 companies (0.9%)
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
- AMBARtec AG3 shared techsDresdencleantech / hydrogen storage[VerfahrenstechnikSCADAPythonMATLAB
- CMBlu Energy AG3 shared techsFrankfurt am MainCleanTech / Energiespeicher / Organic-Flow-BatteriesRedox-Flow-ChemieSCADAPythonMATLAB
- Alteva2 shared techsKölnDeepTech / Lithium-Sulfur Batteries / Transport-DekarbonisierungLithium-Sulfur-ZellchemieMaterialwissenschaftPythonMatlab
- Atlas Elektronik2 shared techsBremerhavendefense-tech / maritime / sonarC++PythonMATLABEmbedded
- ATMOS Space Cargo2 shared techsBerlinNewSpace / Reusable Return Capsules / Orbital LogisticsSystems-EngineeringIAD-HeatshieldEmbeddedPython
- Bosch Reutlingen Halbleiter2 shared techsReutlingenhardware / mems / semiconductorC++MATLABPythonFPGA
Same location
Local tech ecosystem
- SunfireDresdenCleanTech / Green Hydrogen / Solid-Oxide-Elektrolyseure / Industrial DecarbSOEC-/SOFC-StacksElektrolyse-AnlagenbauIndustrieautomationSCADA
- NovaledDresdenDeepTech / OLED-Materialien / Display SemiconductorsOrganic-Semiconductor-SyntheseDevice-PhysicsPythonMATLAB Simulation
- HeliatekDresdencleantechOrganic Photovoltaics (OPV)HeliaSolHeliaFilm-Produkte
- FMCDresdenDeepTech / Semiconductor / Memory Chips / AI InfrastructureFerroelectric Hafnium-OxideDRAM+3D-CACHE+Non-volatile Memory
- FMCDresdendeeptech / semiconductors / memory-chips / ai-infrastructureC/C++PythonEDA-ToolchainsSemiconductor-Design
- WandelbotsDresdenrobotics / saas / deeptechC++PythonNo-Code-IDE NovaRobotik-SDKs
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