ML (Mona AI-Assistent)Rare
Used by 1 of 3.440 companies (0.0%)
scaleupVerified
Clinomic
- Location
- Aachen· Nordrhein-Westfalen
- Industry
- MedTech / AI / Intensive Care / HealthTech
- Founded
- 2019
- Employees
- 51-200
- Total funding
- €23.0 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
IoT-Medizingeräte-IntegrationRare
Used by 1 of 3.440 companies (0.0%)
Telemedizin-Infrastruktur]Rare
Used by 1 of 3.440 companies (0.0%)
HL7Rare
Used by 4 of 3.440 companies (0.1%)
FHIRRare
Used by 17 of 3.440 companies (0.5%)
[PythonRare
Used by 83 of 3.440 companies (2.4%)
AIUncommon
Used by 465 of 3.440 companies (13.5%)
CloudCommon
Used by 565 of 3.440 companies (16.4%)
ReactCommon
Used by 724 of 3.440 companies (21.0%)
In context
Raw numbers say little — here's how Clinomic compares to its industry and city.
Funding position
Top 32%
More funding than 68% of all companies with reported funding.
Industry median: €23.0 Mio
Similar companies
Similar companies
Similar stack
At least 2 shared technologies
- Climedo Health4 shared techsMünchenhealthtech/saasReactPythonCloudFHIR
- akirolabs3 shared techsBerlinai / procuretech / saasPythonAIMLReact
- Alpha Sophia3 shared techsKölnhealthtech / data-platform / medical-intelligence[PythonTypeScriptReactPostgreSQL
- BOTfriends3 shared techsWürzburgai / saasPythonNLPAIML
- CEEZER3 shared techsBerlincleantech / carbon-marketsPythonAIMLCloud
- Codio Impact3 shared techsBerlinesg / saasPythonReactAIML
Same location
Local tech ecosystem
- Black SemiconductorAachenSemiconductor / Graphene Photonics / Chip-InterconnectGraphene-Photonics-InterconnectCVD-Graphene-Wafer-ProzessOptical-Chip-to-Chip-LinksPython/C++-Characterization-Toolchain
- cylibAachenCleanTech / Battery RecyclingChemieProcess EngineeringPythonSCADA
- FibreCoatAachenMaterials / DefensetechMaterialwissenschaftPythonProduktions-Automation
- VoltfangAachenClimatetech / EnergyBattery-ManagementPythonCloud-IoT
- PL BioScienceAachenBioTech / LifeScience / Cell Culture[GMP-ProduktionsprozesseELAREM-Plattform (HPL)Lab-AutomationQuality-Management-Software
- VivalyxAachenMedTech / Biotech / Organ-Preservation / Transplantation„Omnisol"-Organperfusions-Lösung (vollsynthetischblutfrei)Machine Perfusionklinische Studien-Software
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