NILMRare
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
Embedded SystemsRare
Used by 49 of 3.440 companies (1.4%)
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 Cynrise compares to its industry and city.
Industry peers
44
44 companies in the same industry
2 of those in Aachen
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
- Energyminer3 shared techsMünchencleantechIoTEmbedded SystemsPython
- ENVIOTECH3 shared techsEschbornsmartcity / iotIoTEdge ComputingCloudPython
- Instagrid3 shared techsStuttgartcleantechEmbedded SystemsPythonFirmwareIoT
- 1Komma5° (1KOMMA5 GmbH)2 shared techsHamburgcleantech / energyPythonIoTReactCloud
- a2zebra GmbH2 shared techsBerlinedtechEmbedded SystemsIoTMobile (iOSAndroid)
- AGVOLUTION GmbH2 shared techsGöttingenagtech / precision-farming / soil-sensorik / ai-fertilization[proprietäre CLIMAVI-Sensorik (BodenfeuchteTemperaturMikroklima über 3 Tiefen)LoRaWAN
Same location
Local tech ecosystem
- Black SemiconductorAachenSemiconductor / Graphene Photonics / Chip-InterconnectGraphene-Photonics-InterconnectCVD-Graphene-Wafer-ProzessOptical-Chip-to-Chip-LinksPython/C++-Characterization-Toolchain
- cylibAachenCleanTech / Battery RecyclingChemieProcess EngineeringPythonSCADA
- ClinomicAachenMedTech / AI / Intensive Care / HealthTech[PythonAIML (Mona AI-Assistent)IoT-Medizingeräte-Integration
- FibreCoatAachenMaterials / DefensetechMaterialwissenschaftPythonProduktions-Automation
- VoltfangAachenClimatetech / EnergyBattery-ManagementPythonCloud-IoT
- PL BioScienceAachenBioTech / LifeScience / Cell Culture[GMP-ProduktionsprozesseELAREM-Plattform (HPL)Lab-AutomationQuality-Management-Software
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