Time-SeriesRare
Used by 3 of 3.440 companies (0.1%)
startupVerified
ai-omatic solutions
- Location
- Hamburg· Hamburg
- Industry
- SaaS / AI / Predictive Maintenance / Industrial IoT
- Founded
- 2020
- Employees
- 11-50
- Total funding
- €3.0 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
IoT-IntegrationRare
Used by 4 of 3.440 companies (0.1%)
MLUncommon
Used by 447 of 3.440 companies (13.0%)
TypeScriptUncommon
Used by 451 of 3.440 companies (13.1%)
CloudCommon
Used by 565 of 3.440 companies (16.4%)
PythonCommon
Used by 1.317 of 3.440 companies (38.3%)
In context
Raw numbers say little — here's how ai-omatic solutions compares to its industry and city.
Funding position
Top 77%
More funding than 23% of all companies with reported funding.
Industry median: €3.0 Mio
Similar companies
Similar companies
Similar stack
At least 2 shared technologies
- ACCURE Battery Intelligence4 shared techsAachenEnergy / Battery Analytics / Predictive Maintenance SaaSPythonMLTime-SeriesCloud
- Appinio4 shared techsHamburgMarket Research / SaaS / Data AnalyticsTypeScriptReactPythonML
- Buena4 shared techsBerlinPropTech / AI-gestützte ImmobilienverwaltungTypeScriptReactPythonML
- ENLYZE4 shared techsKölnManufacturing AI / Industrial IoT / SaaSPythonMLTime-SeriesCloud
- Everstores4 shared techsBerline-commerce / amazon-aggregator / brand-platformPythonMLTypeScriptReact
- Fimo Health4 shared techsBonnDigital Health / Chronic Disease ManagementReact NativeTypeScriptPythonML
Same location
Local tech ecosystem
- 1KOMMA5°HamburgcleantechIoTSmart EnergyHeartbeat AISolar
- About You Holding SEHamburgE-Commerce / FashionPHPPythonReactKubernetes
- BigpointHamburgGaming / Browser Games / F2PJavaUnityHTML5Cloud-Infrastruktur
- Deposit SolutionsHamburgFinTech / Open Banking / Deposit MarketplaceJavaKotlinReactAWS
- Beiersdorf Venture CapitalHamburgventure capital/healthtechk.A.
- InnoGamesHamburgGaming / Mobile & Browser-Games PublisherJavaGoPythonTypeScript
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