QEMURare
Used by 1 of 3.440 companies (0.0%)
startup
ChipTwin
- Industry
- deeptech
- Founded
- 2025
- Employees
- 1-10
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
Digital TwinRare
Used by 10 of 3.440 companies (0.3%)
Embedded SystemsRare
Used by 49 of 3.440 companies (1.4%)
CloudCommon
Used by 565 of 3.440 companies (16.4%)
In context
Raw numbers say little — here's how ChipTwin compares to its industry and city.
Industry peers
15
15 companies in the same industry
Similar companies
Similar companies
Same industry
Competitors and peers
- Bosch Business InnovationsStuttgartdeeptechIoTCarbon CaptureMedical Remote MonitoringManufacturing Software
- QUDORA TechnologiesBraunschweigdeeptechTrapped-Ion Quantum ProcessorsNFQCQCaaS Cloud
- QurieFreiburg im BreisgaudeeptechElektrothermal CoolingHardware-SoftwareIoT
- LimaticaChemnitzdeeptechBattery DiagnosticsEmbeddedPythonData Science
- 3tagBerlindeeptechIoTMesstechnikHardwareSoftware
- acconic System Germany GmbHHartmannsdorfdeeptechEmbeddedIoTHardware
Similar stack
At least 2 shared technologies
- Ankerkern2 shared techsStuttgartai / saasAI AgentsDigital TwinCloud
- auditect GmbH2 shared techsStuttgartiot / agetech / healthtechIoTEmbedded SystemsAudio-SensorikCloud
- BIOTRONIK2 shared techsBerlinmedtech / cardiologyEmbedded SystemsAIDigital HealthImplant-Tech
- Circonomit2 shared techsKölnenterprise-saas / manufacturingDigital TwinAIMLCloud
- ENVIOTECH2 shared techsEschbornsmartcity / iotIoTEdge ComputingCloudPython
- Gardia (microsynetics GmbH)2 shared techsSoesthealthtech / agetechEmbedded SystemsIoTAIML
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