proprietärer „Semantic Layer"Rare
Used by 1 of 3.440 companies (0.0%)
startupVerified
Scavenger AI
- Location
- Frankfurt am Main· Hessen
- Industry
- AI / Business Intelligence / SaaS / KMU-Analytics
- Founded
- 2023
- Employees
- 11–50
- Total funding
- €2.5 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
ERP-Rare
Used by 1 of 3.440 companies (0.0%)
CRM-Rare
Used by 1 of 3.440 companies (0.0%)
SQL-IntegrationRare
Used by 1 of 3.440 companies (0.0%)
GDPR-konform gehostetRare
Used by 1 of 3.440 companies (0.0%)
LLMsRare
Used by 69 of 3.440 companies (2.0%)
NLPUncommon
Used by 184 of 3.440 companies (5.3%)
TypeScriptUncommon
Used by 451 of 3.440 companies (13.1%)
ReactCommon
Used by 724 of 3.440 companies (21.0%)
PythonCommon
Used by 1.317 of 3.440 companies (38.3%)
In context
Raw numbers say little — here's how Scavenger AI compares to its industry and city.
Funding position
Top 80%
More funding than 20% of all companies with reported funding.
Industry median: €2.5 Mio
Similar companies
Similar companies
Similar stack
At least 2 shared technologies
- INHUBBER5 shared techsBerlinAI / Contract Management / LegalTechPythonNLPLLMsTypeScript
- Afori4 shared techsBerlininsurtechTypeScriptReactNode.jsPython
- AMBOSS4 shared techsBerlinHealthtech / Saas / AiTypeScriptReactNode.jsPython
- Atira Technologies GmbH4 shared techsMünchenai / saasPythonTypeScriptReactLLMs
- Augmented Industries4 shared techsMünchenIndustrial SaaS / AI TrainingTypeScriptReactPythonLLMs
- bayshore AI GmbH4 shared techsMünchenlegaltech / aiPythonLLMNLPReact
Same location
Local tech ecosystem
- Aleph AlphaFrankfurt am MainAI / LLM / GovTechPythonPyTorchCUDAKubernetes
- ClarkFrankfurt am MainInsurTech / Versicherungs-PlattformRuby on RailsReactAWSMobile-First
- ENVIRIAFrankfurt am MainCleanTech / Solar / Energy-as-a-Service (Commercial & Industrial PV)Asset-Management-SoftwareIoTSCADAPython
- CMBlu Energy AGFrankfurt am MainCleanTech / Energiespeicher / Organic-Flow-BatteriesRedox-Flow-ChemieSCADAPythonMATLAB
- QualifyzeFrankfurt am Mainhealthtech / pharma / supplier-risk / ai-compliancePythonFastAPITypeScriptReact
- SolactiveFrankfurt am MainFinTech / Index-Provider / Financial DataPythonJavaQuant-ModelleCloud
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