IoT-SensorenRare
Used by 6 of 3.440 companies (0.2%)
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
DatenanalyseRare
Used by 7 of 3.440 companies (0.2%)
Embedded SystemsRare
Used by 49 of 3.440 companies (1.4%)
CloudCommon
Used by 565 of 3.440 companies (16.4%)
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
- auditect GmbH2 shared techsStuttgartiot / agetech / healthtechIoTEmbedded SystemsAudio-SensorikCloud
- BIOTRONIK2 shared techsBerlinmedtech / cardiologyEmbedded SystemsAIDigital HealthImplant-Tech
- ChipTwin2 shared techsdeeptechEmbedded SystemsCloudDigital TwinQEMU
- ENVIOTECH2 shared techsEschbornsmartcity / iotIoTEdge ComputingCloudPython
- Gardia (microsynetics GmbH)2 shared techsSoesthealthtech / agetechEmbedded SystemsIoTAIML
- German Bionic2 shared techsAugsburgRobotics / Wearable Tech / Exoskeletons / Physical AIEmbedded SystemsC++PythonAI
Same location
Local tech ecosystem
- OvivaPotsdamhealthtech / digital-health / chronic-diseaseMobile-AppTele-Coaching-PlattformPython-MLDiGA-Zertifizierung
- Voize GmbHPotsdamdigitalhealth / voice-ai / care-documentation / enterprise-saas[proprietäres on-device LLM für Pflege-Sprache (auf 100M+ Einträgen trainiert)SwiftKotlinPython
- CryoTherapeutics SAPotsdammedtech / cardiovascular / biotech[Kryo-Katheter-Hardware (proprietär)Embedded-FirmwareMatlabSimulink-Simulation
- Stenon GmbHPotsdamagtech / soil-sensorik / saas / precision-farming[proprietäre Echtzeit-NIR-UV-VIS-Bodensensoren (FarmLab)PythonPyTorch
- Signature DiagnosticsPotsdammedtech / molecular-diagnostics / oncologyNGSBioinformatik (PythonR)Liquid-Biopsy
- DoctorflixPotsdamMedTech / EdTech / Digital HealthVideo-StreamingE-LearningCloudMulti-Language
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