LLM-TutorRare
Used by 1 of 3.440 companies (0.0%)
scaleupVerified
Lecturio
- Location
- Leipzig· Sachsen
- Industry
- EdTech / Medical-Education / Adaptive Learning
- Founded
- 2008
- Employees
- 51-200
- Total funding
- €25.0 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
Spaced-Repetition-AlgorithmenRare
Used by 1 of 3.440 companies (0.0%)
Vue.jsRare
Used by 9 of 3.440 companies (0.3%)
Ruby on RailsRare
Used by 12 of 3.440 companies (0.3%)
AWSUncommon
Used by 252 of 3.440 companies (7.3%)
PythonCommon
Used by 1.317 of 3.440 companies (38.3%)
In context
Raw numbers say little — here's how Lecturio compares to its industry and city.
Funding position
Top 31%
More funding than 69% of all companies with reported funding.
Industry median: €25.0 Mio
Similar companies
Similar companies
Similar stack
At least 2 shared technologies
- Babbel3 shared techsBerlinedtech / language-learningRuby on RailsReactReact NativePython
- sofatutor3 shared techsBerlinedtechRuby on RailsReactAWSPython
- 1Global2 shared techsBerlintelco / eSIM / connectivity[GoPythonAWSKubernetes]
- 1NCE2 shared techsKölniot / connectivity / global-simGoPythonKubernetesAWS
- About You Holding SE2 shared techsHamburgE-Commerce / FashionPHPPythonReactKubernetes
- Agentic Systems2 shared techsKölnAi / Saas / Agent-InfraPythonLangChainOpenAI/Anthropic APIsModel Context Protocol
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
- the nu companyLeipzigfoodtechShopifyD2CE-CommerceSustainability Analytics
- AevoloopLeipzigmaterialsci / plastics-recyclingPythonMLChemie-Simulation
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