Used by 1 of 3.440 companies (0.0%)
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.
Used by 11 of 3.440 companies (0.3%)
Used by 11 of 3.440 companies (0.3%)
Used by 1.317 of 3.440 companies (38.3%)
In context
Raw numbers say little — here's how Xena compares to its industry and city.
50 companies in the same industry
Similar companies
Similar companies
Same industry
Competitors and peers
- Avi MedicalMünchenhealthtechReactNode.jsTypeScriptCloud (GCP)
- EternoBerlinhealthtechCloudKI/MLFHIRReact
- Aware HealthBerlinhealthtechIoTWearablesBioSensorsMobile (Flutter)
- Kenbi GmbHBerlinhealthtechReactPythonCloudMobile Apps
- TERN GroupBerlinhealthtechAI-powered Recruiting-PlattformTalent Pool Management (650K+ Profile)
- NeuroNationBerlinhealthtechMobileReact NativePython
Similar stack
At least 2 shared technologies
- Aortex2 shared techsHamburghealthtech / medtechAIMLMedical ImagingPython
- autoRetouch2 shared techsStuttgartAI / Image Processing / E-Commerce SaaSPythonComputer VisionDeep LearningCloud (AWS
- Bonescreen2 shared techsMünchenhealthtech / aiAIMLMedical ImagingPython
- Brighter AI2 shared techsBerlinai/privacyDeep LearningComputer VisionPython
- DeepSpin GmbH2 shared techsMünchenMedTech / AIPythonPyTorchC++CUDA
- Ebenbuild2 shared techsMünchenhealthtech/deeptechPythonC++SimulationML
Same location
Local tech ecosystem
- SAP SEMannheimEnterprise SoftwareJavaABAPPythonCloud
- OsapiensMannheimSaas / Sustainability / Esg-CompliancePythonReact
- NovaliqMannheimbiotech / drug-deliveryLab-ITPythonMatLab
- PAUL TechMannheimproptech / aiIoTKI-AnalyticsPythonCloud
- MODAG GmbHMannheimBiotech / Neuro-TherapeuticsPythonRLab-ITSnakemake
- FLEXOOMannheimDeepTech / Printed Electronics / Physical AI / Sensors / Automotive / SpacePrinted-ElectronicsPhysical-AI-SensorikRoll-to-Roll-ProduktionFirmware/Embedded
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
