Used by 3 of 3.440 companies (0.1%)
brainjo GmbH
- Location
- Regensburg· Bayern
- Industry
- Digital Health / VR-Therapie / NeuroTech
- Founded
- 2022
- Employees
- 1-10
- Total funding
- €2.0 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 7 of 3.440 companies (0.2%)
Used by 9 of 3.440 companies (0.3%)
Used by 14 of 3.440 companies (0.4%)
Used by 26 of 3.440 companies (0.8%)
Used by 26 of 3.440 companies (0.8%)
In context
Raw numbers say little — here's how brainjo GmbH compares to its industry and city.
More funding than 15% of all companies with reported funding.
Industry median: €2.0 Mio
Similar companies
Similar companies
Similar stack
At least 2 shared technologies
- a2zebra GmbH (Marke: TukToro)4 shared techsedtech / gamingiOSAndroidGamificationUnity
- NeoTaste3 shared techsOsnabrückFoodTech / Restaurant-Discovery / Consumer AppiOSAndroidRestaurant-Marketing-PlattformAbo-Modell
- Blinks Labs GmbH (Marke: Blinkist)2 shared techsBerlinedtech / mediaiOSAndroidReactNode.js
- Bonice2 shared techsBerlinsaas/retailMobile WalletiOSAndroid
- CUREosity GmbH2 shared techsDüsseldorfMedTech / VR-Therapie / Digital HealthCUREO® VR-TherapiesystemUnityVR-HardwareGamification
- Edurino2 shared techsMünchenEdTech / Hybrid Learning / Kinder-LernplattformUnityC#SwiftKotlin
Same location
Local tech ecosystem
- Innok Robotics GmbHRegensburgrobotics / outdoor industrial[ROSC++PythonRTK-GNSS
- BubbleTaxRegensburgfintechTypeScriptJavaScriptReactCloud
- EVANIUMRegensburgbiotech / bioprocessingBioprocessingFermentationPythonLab-Automation
- KronesRegensburgindustrial-machinery / packaging / iiotSiemens-PLCJavaPythonMES
- Maschinenfabrik ReinhausenRegensburgenergy-tech / transformers / iiotC++EmbeddedPythonIoT
- mediteo / Digital Health SolutionsRegensburghealthtech / digital healthMobile (iOSAndroid)CloudHealth APIs
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
