RoboticsRare
Used by 15 of 3.440 companies (0.4%)
startupVerified
WeSort.AI
- Location
- Nürnberg· Bayern
- Industry
- CleanTech / Computer Vision
- Founded
- 2021
- Employees
- 11-50
- Total funding
- €10.0 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
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 WeSort.AI compares to its industry and city.
Funding position
Top 51%
More funding than 49% of all companies with reported funding.
Industry median: €10.0 Mio
Similar companies
Similar companies
Similar stack
At least 2 shared technologies
- AI.Land3 shared techsKrefeldagritech / ai / roboticsRoboticsAIMLComputer Vision
- Cartken3 shared techsMünchenrobotics / deliveryRoboticsComputer VisionAIML
- NEOintralogistics3 shared techsMünchenrobotics/logisticsRoboticsROSPythonComputer Vision
- Vay3 shared techsBerlinmobility / deeptechPythonC++Computer VisionRobotics
- 10x Autonomy2 shared techsHamburgautomotive / aiPythonAIMLComputer Vision
- 2NA Fish2 shared techsMünchenBioTech / Cancer Diagnostics / Spatial TranscriptomicsDNA-NanotechnologyAIMLSpatial Transcriptomics
Same location
Local tech ecosystem
- Innok Robotics GmbHNürnbergRobotics / Outdoor IndustrialROSC++PythonRTK-GNSS
- avoltraNürnbergaiPythonMLEnergy APIs
- CareNextNürnberghealthtech / digital healthDigital Patient Transfer PlatformHealthcare Capacity MatchingCloud SaaS
- CiX GreentechNürnbergcleantechPFAS-Sanierungstechnologie
- DATEV eGNürnbergFinTech / SteuersoftwareJavaC#.NETAngular
- Hetzner Online GmbHNürnbergCloud / HostingGoPythonLinuxTerraform
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