[proprietäre Echtzeit-NIR-Rare
Used by 1 of 3.440 companies (0.0%)
scaleupVerified
Stenon GmbH
- Location
- Potsdam· Brandenburg
- Industry
- agtech / soil-sensorik / saas / precision-farming
- Founded
- 2018
- Employees
- 11-50
- 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
UV-VIS-Bodensensoren (FarmLab)Rare
Used by 1 of 3.440 companies (0.0%)
Cloud-Datenplattform (AWS)Rare
Used by 1 of 3.440 companies (0.0%)
React-AppRare
Used by 1 of 3.440 companies (0.0%)
REST-APIs für ERP-Landwirtschafts-Software-Integration]Rare
Used by 1 of 3.440 companies (0.0%)
TensorFlowRare
Used by 28 of 3.440 companies (0.8%)
PyTorchRare
Used by 117 of 3.440 companies (3.4%)
TypeScriptUncommon
Used by 451 of 3.440 companies (13.1%)
PythonCommon
Used by 1.317 of 3.440 companies (38.3%)
In context
Raw numbers say little — here's how Stenon GmbH 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
- AI Superior3 shared techsDarmstadtai / consultingPythonTensorFlowPyTorchComputer Vision
- CERPRO3 shared techsBerlinIndustrial SaaS / QA AIPythonPyTorchComputer VisionTypeScript
- Compredict3 shared techsDarmstadtAutomotive / AI / Software-Defined Vehicles / Virtual SensorsPythonTensorFlowPyTorchEdge-AI
- cureVision GmbH3 shared techsPotsdamhealthtech / AI-imaging / wound-care[PythonPyTorchTensorFlowComputer-Vision
- Echomotion3 shared techsMünchenai / mobility / logistics / consulting[LLMsPythonPyTorchGeodaten-APIs
- Flower3 shared techsHamburgAI / Federated Learning / ML InfrastructurePythonPyTorchTensorFlowFederated Learning Framework
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
- Signature DiagnosticsPotsdammedtech / molecular-diagnostics / oncologyNGSBioinformatik (PythonR)Liquid-Biopsy
- DoctorflixPotsdamMedTech / EdTech / Digital HealthVideo-StreamingE-LearningCloudMulti-Language
- nu:legalPotsdamlegaltechAIMLLegal Workflow AutomationSaaS
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