Protein-EngineeringRare
Used by 3 of 3.440 companies (0.1%)
startupVerified
Apogenix
- Location
- Heidelberg· Baden-Württemberg
- Industry
- biopharmaceutical / immunoonkologie
- Founded
- 2005
- Employees
- 11-50
- Total funding
- €10.0 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
GMPRare
Used by 9 of 3.440 companies (0.3%)
klinische StudienRare
Used by 10 of 3.440 companies (0.3%)
In context
Raw numbers say little — here's how Apogenix compares to its industry and city.
Funding position
Top 51%
More funding than 49% of all companies with reported funding.
Industry median: €10.0 Mio
Similar companies
Similar companies
Similar stack
At least 2 shared technologies
- Algiax Pharmaceuticals2 shared techsDüsseldorfbiopharmaceutical / pain / GABAWet-LabGLPGMPklinische Studien
- Allecra Therapeutics2 shared techsBerlinbiopharmaceutical / antibiotics / multi-drug-resistanceWet-LabKlinische StudienGMP
- Atriva Therapeutics2 shared techsBerlinbiopharmaceutical / antiviral / respiratoryMEK-Inhibitorenklinische StudienGMP
- MerLion Pharmaceuticals2 shared techsBerlinbiopharmaceutical / antibioticsAntibiotika-EntwicklungGMPklinische Studien
- Paion2 shared techsAachenpharmaceutical / sedationKlinische StudienGMPRegulatory-Compliance
- Vaximm2 shared techsMannheimbiopharmaceutical / cancer-immunotherapy / oral-vaccinesBakterielle VektorenGMPklinische Studien
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