Open Banking APIsRare
Used by 2 of 3.440 companies (0.1%)
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
JavaRare
Used by 115 of 3.440 companies (3.3%)
MLUncommon
Used by 447 of 3.440 companies (13.0%)
PythonCommon
Used by 1.317 of 3.440 companies (38.3%)
In context
Raw numbers say little — here's how fino digital compares to its industry and city.
Industry peers
7
7 companies in the same industry
Similar companies
Similar companies
Same industry
Competitors and peers
- Roundfintech / aiPythonAIFinanzautomatisierung
- EmblematicBerlinfintech / aiPythonAIMLERP-Integration
- Finto TechnologiesMünchenfintech / aiAI AgentsAccounting Workflows
- Gradient TechnologiesHamburgfintech / aiPythonMachine LearningQuantitative FinanceAI
- InsiderPieNürnbergfintech / aiAIMLFinancial Data AnalysisNLP
- StrategyBridgeAIMünchenfintech / aiAIMLSaaSData Analytics
Similar stack
At least 2 shared technologies
- encentive3 shared techsHamburgEnergytech / Industrial IotPythonJavaKubernetesTime-Series-DB
- Hawk AI3 shared techsMünchenFintech / Regtech / AmlJavaKotlinPythonKafka
- INSIDERS Technologies3 shared techsKaiserslauternsaas / ai / document-processingJava.NETPythonML
- 10x Autonomy2 shared techsHamburgautomotive / aiPythonAIMLComputer Vision
- 2NA Fish2 shared techsMünchenBioTech / Cancer Diagnostics / Spatial TranscriptomicsDNA-NanotechnologyAIMLSpatial Transcriptomics
- 3M Deutschland Neuss2 shared techsNeussmaterials / industrial-iotSAPPythonAzureML
Same location
Local tech ecosystem
- vencortexKasselFinTech / AI / Platform as a ServiceAI-Financial-Services-PlatformPythonCloud
- dmTECHKasselretail-tech / ecommerceJavaAzureKafkaKubernetes
- Krauss-Maffei WegmannKasseldefense-tech / vehicles / iiotC++MATLABSAPPython
- SMA Solar TechnologyKasselcleantech / solar-inverters / iotEmbeddedIoTJavaPython
- Wintershall DeaKasselenergy-tech / oil-gas / iiotSAPPythonIoTAzure
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