Azure]Rare
Used by 3 of 3.440 companies (0.1%)
startupVerified
Mona AI
- Location
- Saarbrücken· Saarland
- Industry
- ai / HR-tech / recruiting-automation
- Founded
- 2022
- Employees
- 11-50
- 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.
RareUncommonCommonMainstream
OpenAIRare
Used by 6 of 3.440 companies (0.2%)
FastAPIRare
Used by 23 of 3.440 companies (0.7%)
Next.jsRare
Used by 44 of 3.440 companies (1.3%)
[PythonRare
Used by 83 of 3.440 companies (2.4%)
PostgreSQLRare
Used by 152 of 3.440 companies (4.4%)
TypeScriptUncommon
Used by 451 of 3.440 companies (13.1%)
In context
Raw numbers say little — here's how Mona AI compares to its industry and city.
Funding position
Top 85%
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
- Autonomo Technologies5 shared techsHamburgai / saas / autonomous-agents[PythonTypeScriptLangChainLangGraph
- Skalar5 shared techsBerlinai / fintech / steuerberatung-automation[PythonFastAPITypeScriptNext.js
- Techlogia4 shared techsBerlinSoftware Development / AIReactNext.jsTypeScriptPython
- Alpha Sophia3 shared techsKölnhealthtech / data-platform / medical-intelligence[PythonTypeScriptReactPostgreSQL
- artefacts3 shared techsStuttgartCreator-Economy / Marketplace / SaasTypeScriptNext.jsNode.jsPostgreSQL
- BirdsView3 shared techsLeipzigai / e-commerce-crm / saas[LLMsAgent-Framework („Avis")PythonTypeScript
Same location
Local tech ecosystem
- DetesiaSaarbrückencybersecurityPythonAIMLComputer Vision
- Globus SB-WarenhausSaarbrückenretail-tech / ecommerceJavaAzureReact
- lingomatch (GovTech-Dolmetsch)SaarbrückengovtechVideoAudioCloudReact
- Natif.aiSaarbrückenai / document-intelligence / IDP (Intelligent Document Processing)[PythonPyTorcheigenentwickeltes Deep-OCRHTR (Handwriting)
- Saarstahl DigitalSaarbrückenindustrial-iot / metallurgySAPMESPythonIoT
- seatbaseSaarbrückensaas / mspSaaS Management Platform
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