Liquid-BiopsyRare
Used by 1 of 3.440 companies (0.0%)
startupVerified
Signature Diagnostics
- Location
- Potsdam· Brandenburg
- Industry
- medtech / molecular-diagnostics / oncology
- Founded
- 2004
- Employees
- 11-50
- Total funding
- €6.1 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
NGSRare
Used by 2 of 3.440 companies (0.1%)
Bioinformatik (PythonRare
Used by 3 of 3.440 companies (0.1%)
R)Rare
Used by 3 of 3.440 companies (0.1%)
In context
Raw numbers say little — here's how Signature Diagnostics compares to its industry and city.
Funding position
Top 59%
More funding than 41% of all companies with reported funding.
Industry median: €6.1 Mio
Similar companies
Similar companies
Similar stack
At least 2 shared technologies
- Asklepios Biopharmaceutical2 shared techsHeidelbergbiotech / gene-therapy / aav-vector[AAV-Vektor-EngineeringBioreaktor-Prozess-AutomatisierungGMP-Manufacturing-SystemeBioinformatik (Python
- Rnatics2 shared techsMünchenBioTech / RNA-Therapeutics / Pulmonary DiseaseRNA-ChemistryBioinformatik (PythonR)Lab-Automation
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
- Stenon GmbHPotsdamagtech / soil-sensorik / saas / precision-farming[proprietäre Echtzeit-NIR-UV-VIS-Bodensensoren (FarmLab)PythonPyTorch
- 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