BioprocessingRare
Used by 4 of 3.440 companies (0.1%)
startupVerified
EVANIUM
- Location
- Regensburg· Bayern
- Industry
- biotech / bioprocessing
- 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
FermentationRare
Used by 8 of 3.440 companies (0.2%)
Lab-AutomationRare
Used by 16 of 3.440 companies (0.5%)
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
- admedes2 shared techsPforzheimmedtech / implants / laser-manufacturingMESPythonCAD-APIsLab-Automation
- Co-Reactive2 shared techsBerlinCleanTech / Carbon Utilization / Cement & Concrete DecarbonizationCO₂-Mineralisierungs-ReaktorenMaterial-Science-PipelineLab-AutomationPython
- EAT BEER Biotech2 shared techsStralsundfoodtech / biotechFermentationMycologyBioprocessing
- EEDEN2 shared techsMünsterclimatetech / textile-recycling / chemical-recyclingPythonChemical Process ControlIoT/SCADAData-Pipelines
- ESTER Biotech2 shared techsLeipzigbiotech / cleantechEnzyme EngineeringBioprocessingPython
- Euroimmun2 shared techsLübeckbiotech / ivd / autoimmune-diagnosticsPythonLIMSLab-AutomationR
Same location
Local tech ecosystem
- Innok Robotics GmbHRegensburgrobotics / outdoor industrial[ROSC++PythonRTK-GNSS
- brainjo GmbHRegensburgDigital Health / VR-Therapie / NeuroTechVRUnityiOSAndroid
- BubbleTaxRegensburgfintechTypeScriptJavaScriptReactCloud
- KronesRegensburgindustrial-machinery / packaging / iiotSiemens-PLCJavaPythonMES
- Maschinenfabrik ReinhausenRegensburgenergy-tech / transformers / iiotC++EmbeddedPythonIoT
- mediteo / Digital Health SolutionsRegensburghealthtech / digital healthMobile (iOSAndroid)CloudHealth APIs
Consulting on this stack
Working with a similar stack?
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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