Sensor FusionRare
Used by 3 of 3.440 companies (0.1%)
scaleupVerified
German Bionic
- Location
- Augsburg· Bayern
- Industry
- Robotics / Wearable Tech / Exoskeletons / Physical AI
- Founded
- 2018
- Employees
- 51-200
- Total funding
- €20.0 Mio
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
Mobile SDKsRare
Used by 4 of 3.440 companies (0.1%)
Embedded SystemsRare
Used by 49 of 3.440 companies (1.4%)
C++Uncommon
Used by 195 of 3.440 companies (5.7%)
MLUncommon
Used by 447 of 3.440 companies (13.0%)
AIUncommon
Used by 465 of 3.440 companies (13.5%)
CloudCommon
Used by 565 of 3.440 companies (16.4%)
PythonCommon
Used by 1.317 of 3.440 companies (38.3%)
In context
Raw numbers say little — here's how German Bionic compares to its industry and city.
Funding position
Top 35%
More funding than 65% of all companies with reported funding.
Industry median: €20.0 Mio
Similar companies
Similar companies
Similar stack
At least 2 shared technologies
- Olive Robotics5 shared techsMünchenrobotics/aiROS 2PythonC++Embedded Linux
- AIPERIA4 shared techsStuttgartai/retailAIMLPythonDemand Forecasting
- akirolabs4 shared techsBerlinai / procuretech / saasPythonAIMLReact
- Arctis AI4 shared techsMünchencontech / ai / legaltechAIMLNLPPython
- Auxilius.ai4 shared techsMünchensaas/aiPythonAIMLKnowledge Graphs
- BlueHabits4 shared techsDüsseldorfhealthtech / aiFlutterReact NativePythonML
Same location
Local tech ecosystem
- Numbat GmbHAugsburgCleanTech / E-Mobility / EV-Charging / EnergiespeicherIoTTelemetrieCloud-BackendEnergiemanagement-Software
- crediumAugsburgproptech / aiKILuftbildanalyse3D-PunktwolkenDigitaler Zwilling
- Green Hydrogen TechnologyAugsburgcleantech/hydrogenPythonEmbeddedHardwareIoT
- PlasmionAugsburgdeeptech / analyticsSICRIT-IonisierungMassenspektrometriePhysikHardware
- ReonicAugsburgcleantech / saas / solar-planning[TypeScriptNode.jsReactPostgreSQL
- Rocket Factory AugsburgAugsburgspacetechC++PythonCADEmbedded
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