Cloud-StackRare
Used by 1 of 3.440 companies (0.0%)
startupVerified
deeplify
- Location
- Bochum· Nordrhein-Westfalen
- Industry
- Ai / Industrial / Deeptech
- Founded
- 2023
- Employees
- 1-10
- Total funding
- €2.0 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
PyTorchRare
Used by 117 of 3.440 companies (3.4%)
Computer VisionRare
Used by 126 of 3.440 companies (3.7%)
PythonCommon
Used by 1.317 of 3.440 companies (38.3%)
In context
Raw numbers say little — here's how deeplify compares to its industry and city.
Funding position
Top 85%
More funding than 15% of all companies with reported funding.
Industry median: €2.0 Mio
Similar companies
Similar companies
Similar stack
At least 2 shared technologies
- Agile Robots3 shared techsMünchenRobotics / DeeptechPythonC++ROSPyTorch
- AI Superior3 shared techsDarmstadtai / consultingPythonTensorFlowPyTorchComputer Vision
- CERPRO3 shared techsBerlinIndustrial SaaS / QA AIPythonPyTorchComputer VisionTypeScript
- Hema.to3 shared techsMünchenhealthtech / ai / blood-cancer-diagnosticsPythonPyTorchComputer VisionDICOM
- Magazino3 shared techsMünchenRobotics / LogisticsROSPythonC++Computer Vision
- microagi3 shared techsMünchenai/roboticsPythonPyTorchComputer VisionROS
Same location
Local tech ecosystem
- mechICBochumDeepTech / Halbleiter-Sensorik / Micromechanical Integrated Circuits (MEMS)MEMSCMOS-ProzesseSPI/I²C-FirmwareMechatronik
- Glim SkinBochummedtech / beautyKaltplasma-TechnologieEmbedded SystemsHardwareFirmware
- emproofBochumCybersecurity / Deeptech / EmbeddedC/C++LLVM-Compiler-PassesBinary RewritingFPGA/RTL Obfuscation
- ENTRYZEROBochumcybersecurityAIMLPythonCloud Security
- GEMESYSBochumdeeptech/halbleiterMemristorenNeuromorphe ChipsKI-Hardware
- inContAlertBochumhealthtech / medtechIoTSensorikInkontinenz-MonitoringEmbedded Systems
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