ProzessleittechnikRare
Used by 1 of 3.440 companies (0.0%)
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
SimulationssoftwareRare
Used by 1 of 3.440 companies (0.0%)
SCADARare
Used by 20 of 3.440 companies (0.6%)
IoTUncommon
Used by 241 of 3.440 companies (7.0%)
PythonCommon
Used by 1.317 of 3.440 companies (38.3%)
In context
Raw numbers say little — here's how INERATEC compares to its industry and city.
Industry peers
44
44 companies in the same industry
1 of those in Karlsruhe
Similar companies
Similar companies
Same industry
Competitors and peers
- IONITYMünchencleantechGoKotlinKubernetesOCPP
- 1KOMMA5°HamburgcleantechIoTSmart EnergyHeartbeat AISolar
- The Mobility HouseMünchencleantechPythonGoJavaKubernetes
- HeliatekDresdencleantechOrganic Photovoltaics (OPV)HeliaSolHeliaFilm-Produkte
- InstagridStuttgartcleantechEmbedded SystemsPythonFirmwareIoT
- Solar MaterialsMagdeburgcleantechPythonIoTRecycling-Technologie
Similar stack
At least 2 shared technologies
- BP Europa SE Digital3 shared techsGelsenkirchenenergy-tech / industrial-iotSAPAzureSCADAIoT
- ENVIRIA3 shared techsFrankfurt am MainCleanTech / Solar / Energy-as-a-Service (Commercial & Industrial PV)Asset-Management-SoftwareIoTSCADAPython
- GP Joule3 shared techsHalle (Saale)cleantech / hydrogen / renewablesPythonIoTSCADAAzure
- Invertix AI GmbH3 shared techsMünchencleantech / aiPythonAIMLLLM
- Malakoff Corporation3 shared techsBottropenergy-tech / district-heating / iotIoTSCADAPython
- Nordex SE3 shared techsRostockcleantech / wind-energy / iotPythonSCADAIoTAzure
Same location
Local tech ecosystem
- ILOS ProjectsKarlsruheRenewable Energy / Solar Project DevelopmentGISPythonPlant-Engineering-ToolsEnergy-Yield-Modelling
- Chrono24Karlsruhee-commerce / marketplace / luxury-watches[Java (Spring)KotlinTypeScriptReact
- DealfrontKarlsruhesaas / sales-intelligence / gtm / b2b-marketing[TypeScriptReactNode.jsPython
- DaedalusKarlsruhedeeptech / industrial-ai / precision-manufacturing[PythonPyTorchTensorFlowCAD
- Kipu QuantumKarlsruhedeeptech / quantum computing[PythonQiskitNumPyC++
- WorkwiseKarlsruhehr-tech / recruiting-platform / saas[Ruby on RailsPostgreSQLElasticSearchReact
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