Raman-LaserRare
Used by 1 of 3.440 companies (0.0%)
startup
Refined Diagnostics
- Location
- Münster· Nordrhein-Westfalen
- Industry
- healthtech/medtech
- Founded
- 2022
- Employees
- 11-50
- Total funding
- €2.9 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
SpektroskopieRare
Used by 2 of 3.440 companies (0.1%)
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 Refined Diagnostics compares to its industry and city.
Funding position
Top 78%
More funding than 22% of all companies with reported funding.
Industry median: €3.0 Mio
Industry peers
3
3 companies in the same industry
Similar companies
Similar companies
Same industry
Competitors and peers
Similar stack
At least 2 shared technologies
- 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
- Bonescreen4 shared techsMünchenhealthtech / aiAIMLMedical ImagingPython
Same location
Local tech ecosystem
- EEDENMünsterclimatetech / textile-recycling / chemical-recyclingPythonChemical Process ControlIoT/SCADAData-Pipelines
- eeden GmbHMünsterCleanTech / Textilrecycling / Circular EconomyChemisches Recycling (Zellulose + PET-Monomere)ProzesstechnikPilotanlage
- Pixel PhotonicsMünsterDeepTech / Photonics / Quantum / SemiconductorPhotonik-WaveguidesKryotechnikPython-Toolchain
- clockin GmbHMünsterSaaS / SMB-Digitalisierung / HRTechSaaS-PlattformMobile AppAI-FeaturesZeiterfassung
- conmeetMünsterContech / Saas / AiPython.NET/C#AzureLLM-Integration
- StallgrünMünsteragritech / indoor farmingIoT SensorsAutomationClimate Control
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