Used by 1 of 3.440 companies (0.0%)
Vaximm
- Location
- Mannheim· Baden-Württemberg
- Industry
- biopharmaceutical / cancer-immunotherapy / oral-vaccines
- Founded
- 2008
- Employees
- 11-50
- Total funding
- €8.0 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.
Used by 9 of 3.440 companies (0.3%)
Used by 10 of 3.440 companies (0.3%)
In context
Raw numbers say little — here's how Vaximm compares to its industry and city.
More funding than 45% of all companies with reported funding.
Industry median: €8.0 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
- Apogenix2 shared techsHeidelbergbiopharmaceutical / immunoonkologieProtein-EngineeringGMPklinische Studien
- Atriva Therapeutics2 shared techsBerlinbiopharmaceutical / antiviral / respiratoryMEK-Inhibitorenklinische StudienGMP
- MerLion Pharmaceuticals2 shared techsBerlinbiopharmaceutical / antibioticsAntibiotika-EntwicklungGMPklinische Studien
- Paion2 shared techsAachenpharmaceutical / sedationKlinische StudienGMPRegulatory-Compliance
Same location
Local tech ecosystem
- SAP SEMannheimEnterprise SoftwareJavaABAPPythonCloud
- OsapiensMannheimSaas / Sustainability / Esg-CompliancePythonReact
- NovaliqMannheimbiotech / drug-deliveryLab-ITPythonMatLab
- PAUL TechMannheimproptech / aiIoTKI-AnalyticsPythonCloud
- MODAG GmbHMannheimBiotech / Neuro-TherapeuticsPythonRLab-ITSnakemake
- FLEXOOMannheimDeepTech / Printed Electronics / Physical AI / Sensors / Automotive / SpacePrinted-ElectronicsPhysical-AI-SensorikRoll-to-Roll-ProduktionFirmware/Embedded
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
