Lab-ITRare
Used by 7 of 3.440 companies (0.2%)
scaleupVerified
Novaliq
- Location
- Mannheim· Baden-Württemberg
- Industry
- biotech / drug-delivery
- Founded
- 2007
- Employees
- 51-200
- Total funding
- €101.8 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
MatLabRare
Used by 32 of 3.440 companies (0.9%)
PythonCommon
Used by 1.317 of 3.440 companies (38.3%)
In context
Raw numbers say little — here's how Novaliq compares to its industry and city.
Funding position
Top 10%
More funding than 90% of all companies with reported funding.
Industry median: €101.8 Mio
Similar companies
Similar companies
Similar stack
At least 2 shared technologies
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- AMBARtec AG2 shared techsDresdenCleantech / Hydrogen StorageVerfahrenstechnikSCADAPythonMATLAB
- AMBARtec AG2 shared techsDresdencleantech / hydrogen storage[VerfahrenstechnikSCADAPythonMATLAB
- Atlas Elektronik2 shared techsBremerhavendefense-tech / maritime / sonarC++PythonMATLABEmbedded
- ATMOS Space Cargo2 shared techsBerlinNewSpace / Reusable Return Capsules / Orbital LogisticsSystems-EngineeringIAD-HeatshieldEmbeddedPython
- Bosch Reutlingen Halbleiter2 shared techsReutlingenhardware / mems / semiconductorC++MATLABPythonFPGA
Same location
Local tech ecosystem
- SAP SEMannheimEnterprise SoftwareJavaABAPPythonCloud
- OsapiensMannheimSaas / Sustainability / Esg-CompliancePythonReact
- PAUL TechMannheimproptech / aiIoTKI-AnalyticsPythonCloud
- MODAG GmbHMannheimBiotech / Neuro-TherapeuticsPythonRLab-ITSnakemake
- FLEXOOMannheimDeepTech / Printed Electronics / Physical AI / Sensors / Automotive / SpacePrinted-ElectronicsPhysical-AI-SensorikRoll-to-Roll-ProduktionFirmware/Embedded
- paretosMannheimsaas / ai (Decision Intelligence)PythonPyTorchScikit-LearnAWS
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