Used by 10 of 3.440 companies (0.3%)
Aplusia
- Location
- Berlin· Berlin
- Industry
- biotech / data-infrastructure / ai-for-pharma
- Founded
- 2024
- Employees
- 1-10
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 83 of 3.440 companies (2.4%)
Used by 447 of 3.440 companies (13.0%)
Used by 565 of 3.440 companies (16.4%)
In context
Comparison data missing for this company — we'll add it on the next research run.
Similar companies
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Similar stack
At least 2 shared technologies
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- Acyla2 shared techsSonthofenlegaltech / aiAIMLNLPCloud
- ai|coustics2 shared techsBerlinAI / Audio / Generative AI / Speech EnhancementPythonMLGenerative Audio AISpeech Enhancement
- aimed analytics2 shared techsBonnbiotech / healthtech (biomedizinische Datenanalyse)[PythonTensorFlowPostgreSQL]
- ai-omatic solutions2 shared techsHamburgSaaS / AI / Predictive Maintenance / Industrial IoTPythonMLTime-SeriesIoT-Integration
- AIPERIA2 shared techsStuttgartai/retailAIMLPythonDemand Forecasting
Same location
Local tech ecosystem
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
