startup

GEMcore

Location: Berlin· Berlin
Industry: ai
Founded: 2024
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

AEO-ToolsRare

Used by 1 of 3.440 companies (0.0%)

SEORare

Used by 3 of 3.440 companies (0.1%)

NLPUncommon

Used by 184 of 3.440 companies (5.3%)

MLUncommon

Used by 447 of 3.440 companies (13.0%)

AIUncommon

Used by 465 of 3.440 companies (13.5%)

CloudCommon

Used by 565 of 3.440 companies (16.4%)

PythonCommon

Used by 1.317 of 3.440 companies (38.3%)

In context

Raw numbers say little — here's how GEMcore compares to its industry and city.

Industry peers

59 companies in the same industry

16 of those in Berlin

Similar companies

Same industry

Competitors and peers

Similar stack

At least 2 shared technologies

Same location

Local tech ecosystem

Consulting on this stack

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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: 2026-08-11
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