AR-TechnologieRare
Used by 1 of 3.440 companies (0.0%)
startupVerified
MonsterShack
- Location
- Leipzig· Sachsen
- Industry
- HealthTech / Children / Augmented Reality / Gaming
- 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.
RareUncommonCommonMainstream
Unity (vermutet)Rare
Used by 1 of 3.440 companies (0.0%)
Gamification-EngineRare
Used by 2 of 3.440 companies (0.1%)
Mobile (iOSRare
Used by 24 of 3.440 companies (0.7%)
Android)Rare
Used by 39 of 3.440 companies (1.1%)
In context
Comparison data missing for this company — we'll add it on the next research run.
Similar companies
Similar companies
Similar stack
At least 2 shared technologies
- a2zebra GmbH2 shared techsBerlinedtechEmbedded SystemsIoTMobile (iOSAndroid)
- Appinio2 shared techsHamburgMarket Research / SaaS / Data AnalyticsTypeScriptReactPythonML
- CAELIA Health2 shared techsMünchenMedTech / Digital Health / Respiratory CareIoT (Smart Spacer)AIML (Companion App)Mobile (iOS
- Datapods2 shared techsBonnPrivacy-Tech / MarTech / Data PlatformPythonMobile (iOSAndroid)AI
- Detach2 shared techsStuttgartapp / digital wellbeingMobile (iOSAndroid)AIML
- Docjo2 shared techsLeipzigHealthTech / DiGA / Chronic Care / Mobile HealthCE-zertifizierte Medical Apps (Velaria für Asthma)Mobile (iOSAndroid)Cloud
Same location
Local tech ecosystem
- CargobeamerLeipziglogisticsLogistik-Software (proprietär)Patentierte Wagontechnologie
- Next Frontier AI (SPRIND)LeipzigaiKIDeep Learningneue Algorithmen
- Skeleton TechnologiesLeipzigenergy / deeptechCurved GrapheneSuperkondensatorenBatterietechnologie
- XeedQLeipzigdeeptech / quantum-computing / diamond-spin-qubitsPythonC++Quantum-Control-SystemsOptics
- LecturioLeipzigEdTech / Medical-Education / Adaptive LearningRuby on RailsPythonVue.jsLLM-Tutor
- the nu companyLeipzigfoodtechShopifyD2CE-CommerceSustainability Analytics
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