[Prozess-Chemie (Pyrolyse)Rare
Used by 1 of 3.440 companies (0.0%)
startupVerified
PyroCCS
- Location
- Köln· Nordrhein-Westfalen
- Industry
- cleantech / carbon-capture / pyrolysis / climate-tech
- Founded
- 2022
- Employees
- 1-10
- Total funding
- €1.5 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
Python für Prozess-MonitoringRare
Used by 1 of 3.440 companies (0.0%)
Energy-Management-Integration]Rare
Used by 1 of 3.440 companies (0.0%)
SPSRare
Used by 5 of 3.440 companies (0.1%)
CFD-SimulationRare
Used by 6 of 3.440 companies (0.2%)
PLCRare
Used by 10 of 3.440 companies (0.3%)
IoT-SensorikRare
Used by 20 of 3.440 companies (0.6%)
In context
Raw numbers say little — here's how PyroCCS compares to its industry and city.
Funding position
Top 88%
More funding than 12% of all companies with reported funding.
Industry median: €1.5 Mio
Similar companies
Similar companies
Similar stack
At least 2 shared technologies
- Refuel Green4 shared techsDresdenenvironment / waste-to-fuel / circular-economy / cleantech[Pyrolyse-Prozess-TechnikChemie-AutomationCFD-SimulationSPS
- rain2soil GmbH3 shared techsBerlinagtech / farm-robotics / precision-irrigation[ROSautonome NavigationIoT-SensorikEmbedded-Firmware (C++)
- FarmInsect2 shared techsMünchenAgriTech / Insekten-Proteine / Circular FeedIoT-SensorikKlimasteuerungPython-AnalyticsFarm-SaaS
- OLOID Engineering GmbH2 shared techsBerlincleantech / industrial / watertech[Mechanical Engineering CADCFD-SimulationIoT-SensorikPython
- OLOID Engineering GmbH2 shared techsDresdenCleantech / Industrial / WatertechMechanical Engineering CADCFD-SimulationIoT-SensorikPython/MATLAB
- Rapidon GmbH2 shared techsDresdensemiconductor-automation / mechatronik / sensorik[CADCAEPythonC++
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?
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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
- 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