DNA-Methylom-ML-ModelleRare
Used by 1 of 3.440 companies (0.0%)
startupVerified
Epignostix GmbH
- Location
- Heidelberg· Baden-Württemberg
- Industry
- healthtech / ai-diagnostics / oncology / saas
- Founded
- 2022
- Employees
- 11-50
- Total funding
- €9.4 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
Azure-HIPAA-CloudRare
Used by 1 of 3.440 companies (0.0%)
HL7-IntegrationRare
Used by 1 of 3.440 companies (0.0%)
LIMS-Anbindung]Rare
Used by 1 of 3.440 companies (0.0%)
FHIRRare
Used by 17 of 3.440 companies (0.5%)
FastAPIRare
Used by 23 of 3.440 companies (0.7%)
Next.jsRare
Used by 44 of 3.440 companies (1.3%)
[PythonRare
Used by 83 of 3.440 companies (2.4%)
PyTorchRare
Used by 117 of 3.440 companies (3.4%)
AWSUncommon
Used by 252 of 3.440 companies (7.3%)
In context
Raw numbers say little — here's how Epignostix GmbH compares to its industry and city.
Funding position
Top 52%
More funding than 48% of all companies with reported funding.
Industry median: €9.4 Mio
Similar companies
Similar companies
Similar stack
At least 2 shared technologies
- cureVision GmbH3 shared techsPotsdamhealthtech / AI-imaging / wound-care[PythonPyTorchTensorFlowComputer-Vision
- Daedalus3 shared techsKarlsruhedeeptech / industrial-ai / precision-manufacturing[PythonPyTorchTensorFlowCAD
- experial3 shared techsKölnai / enterprise-ai / nlp[PythonPyTorchLLM-Fine-Tuning (LoRA)TypeScript
- Mona AI3 shared techsSaarbrückenai / HR-tech / recruiting-automation[PythonFastAPITypeScriptNext.js
- Skalar3 shared techsBerlinai / fintech / steuerberatung-automation[PythonFastAPITypeScriptNext.js
- understand.ai3 shared techsKarlsruheai / automotive / autonomous-driving / data-annotation[PythonPyTorchComputer-Vision (3D-Bounding-BoxesSemantic-Segmentation)
Same location
Local tech ecosystem
- Asklepios BiopharmaceuticalHeidelbergbiotech / gene-therapy / aav-vector[AAV-Vektor-EngineeringBioreaktor-Prozess-AutomatisierungGMP-Manufacturing-SystemeBioinformatik (Python
- Novaliq GmbHHeidelbergBioTech / OphthalmologieEyeSol®-Technologie (semifluorierte Alkane)Drug Deliveryklinische Studien
- EnapterHeidelbergcleantech/hydrogenPythonCC++Embedded
- UnzerHeidelbergfintech/paymentsJavaKubernetesReactPayment APIs
- GetsafeHeidelbergInsurTech / Digital Insurance / App-basedSwiftKotlinTypeScriptNode.js
- Exciva GmbHHeidelbergbiopharma / neuropsychiatrie / small-molecules[proprietäre NMDA-Rezeptor-Modulatorenmedizinische ChemieADMET-Modellingcomputergestütztes Drug-Design
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