Chem-Informatics-PipelinesRare
Used by 1 of 3.440 companies (0.0%)
startupVerified
ChemInnovation
- Location
- Köln· Nordrhein-Westfalen
- Industry
- ai / chemistry / deeptech / r-and-d-automation
- Founded
- 2023
- Employees
- 1-10
- Total funding
- €1.7 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
AWS)Rare
Used by 1 of 3.440 companies (0.0%)
RDKitRare
Used by 2 of 3.440 companies (0.1%)
JupyterRare
Used by 2 of 3.440 companies (0.1%)
TransformersRare
Used by 3 of 3.440 companies (0.1%)
Cloud (AzureRare
Used by 3 of 3.440 companies (0.1%)
React-Frontend]Rare
Used by 3 of 3.440 companies (0.1%)
[PythonRare
Used by 83 of 3.440 companies (2.4%)
PyTorchRare
Used by 117 of 3.440 companies (3.4%)
In context
Raw numbers say little — here's how ChemInnovation compares to its industry and city.
Funding position
Top 86%
More funding than 14% of all companies with reported funding.
Industry median: €1.7 Mio
Similar companies
Similar companies
Similar stack
At least 2 shared technologies
- Elarix Labs4 shared techsKölndeeptech / ai (Material- und Chemieforschung)[PythonPyTorchJupyterRDKit
- Points2BIM3 shared techsChemnitzcontech / BIM / AI / digital-twin[PythonPyTorch3D-Point-Cloud-ProcessingIFC
- AskUI2 shared techsKarlsruheAI / UI-automation / devtools[PythonTypeScriptComputer-VisionPyTorch
- cureVision GmbH2 shared techsPotsdamhealthtech / AI-imaging / wound-care[PythonPyTorchTensorFlowComputer-Vision
- Daedalus2 shared techsKarlsruhedeeptech / industrial-ai / precision-manufacturing[PythonPyTorchTensorFlowCAD
- DiscoResearch2 shared techsBremenai/open-sourcePythonPyTorchLLMsTransformers
Same location
Local tech ecosystem
- DeepL SEKölnAI / NLPPythonPyTorchC++Rust
- 1NCEKölniot / connectivity / global-simGoPythonKubernetesAWS
- Sastrify GmbHKölnsaas / procurementReactNode.jsPythonCloud
- Spot My EnergyKölnEnergy / GreenTech / Strommarkt-OptimierungEnergy-Trading-APIsPythonCloudDynamic Pricing Algorithmen
- kyp.aiKölnai / process-intelligence / workforce-analytics[PythonC#AWSReact
- EternalKölnsustainability/carbonPythonCloudBlockchainCarbon Credits
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