Embedded Linux]Rare
Used by 1 of 3.440 companies (0.0%)
startupVerified
sensmore GmbH
- Location
- Berlin· Berlin
- Industry
- robotics / construction AI / autonomous heavy equipment
- Founded
- 2022
- Employees
- 11–50
- Total funding
- €6.5 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
Lidar-FusionRare
Used by 2 of 3.440 companies (0.1%)
[C++Rare
Used by 10 of 3.440 companies (0.3%)
ROS 2Rare
Used by 11 of 3.440 companies (0.3%)
PyTorchRare
Used by 117 of 3.440 companies (3.4%)
PythonCommon
Used by 1.317 of 3.440 companies (38.3%)
In context
Raw numbers say little — here's how sensmore GmbH compares to its industry and city.
Funding position
Top 59%
More funding than 41% of all companies with reported funding.
Industry median: €6.5 Mio
Similar companies
Similar companies
Similar stack
At least 2 shared technologies
- sensmore GmbH4 shared techsBerlinRobotics / construction AI / Autonomous Heavy EquipmentC++PythonPyTorchLidar-Fusion
- Filics GmbH3 shared techsMünchenRobotics / IntralogisticsROS 2C++PythonPyTorch
- R3 Robotics3 shared techsNeussRobotics / Industrial AutomationROS 2C++PythonComputer Vision
- Agile Robots2 shared techsMünchenRobotics / DeeptechPythonC++ROSPyTorch
- Ai-Driven Therapeutics GmbH2 shared techsLeipzigai/biotechPythonPyTorchAlphaFoldMolecular Dynamics
- aifora2 shared techsDüsseldorfsaas / ai (AI-Driven Predictive Pricing / Retail Automation)PythonPyTorchKubernetesSnowflake
Same location
Local tech ecosystem
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