DrohnensteuerungRare
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.
RareUncommonCommonMainstream
Schwarm-AlgorithmenRare
Used by 1 of 3.440 companies (0.0%)
Edge ComputingRare
Used by 13 of 3.440 companies (0.4%)
MLUncommon
Used by 447 of 3.440 companies (13.0%)
AIUncommon
Used by 465 of 3.440 companies (13.5%)
In context
Raw numbers say little — here's how Autonomous Teaming compares to its industry and city.
Industry peers
2
2 companies in the same industry
Similar companies
Similar companies
Same industry
Competitors and peers
Similar stack
At least 2 shared technologies
- Caresyntax3 shared techsBerlinhealthtech / aiPythonAIMLEdge Computing
- Furtherium3 shared techsBerlinDefTech / Aerospace / Autonomous Aerial PlatformsAIMLAerodynamik-SimulationLTA (Lighter-than-Air)
- Hive Robotics3 shared techsMünchenrobotics / defenceC++PythonAIML
- Olive Robotics3 shared techsMünchenrobotics/aiROS 2PythonC++Embedded Linux
- 10x Autonomy2 shared techsHamburgautomotive / aiPythonAIMLComputer Vision
- 20plus Health UG (Marke: Endon Blutbild)2 shared techsFrankfurt am MainhealthtechAIMLDigital HealthApp (iOS
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