HardwareRare
Used by 20 of 3.440 companies (0.6%)
startup
Inline Process Solutions
- Location
- Kaiserslautern· Rheinland-Pfalz
- Industry
- ai
- Founded
- 2021
- 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
Computer VisionRare
Used by 126 of 3.440 companies (3.7%)
MLUncommon
Used by 447 of 3.440 companies (13.0%)
PythonCommon
Used by 1.317 of 3.440 companies (38.3%)
In context
Raw numbers say little — here's how Inline Process Solutions compares to its industry and city.
Industry peers
59
59 companies in the same industry
Similar companies
Similar companies
Same industry
Competitors and peers
Similar stack
At least 2 shared technologies
- 10x Autonomy3 shared techsHamburgautomotive / aiPythonAIMLComputer Vision
- 2NA Fish3 shared techsMünchenBioTech / Cancer Diagnostics / Spatial TranscriptomicsDNA-NanotechnologyAIMLSpatial Transcriptomics
- Abaut3 shared techsMünchenai / constructionPythonComputer VisionSensor DataAI
- AI.Land3 shared techsKrefeldagritech / ai / roboticsRoboticsAIMLComputer Vision
- Algorized3 shared techsrobotics / aiPythonROSAIML
- Almetra3 shared techsBerlinai / industrialtechPythonComputer VisionAIML
Same location
Local tech ecosystem
- AkknaTek GmbHKaiserslauternmedtech / ophthalmology / imaging / hardware[Optische BildgebungEmbedded-Firmware (C)Python für BildverarbeitungMobile-Begleit-App
- CorpulsKaiserslauternmedtech / defibrillators / iotEmbeddedC++IoTPython
- empolisKaiserslauternsaas / knowledge-management / aiJavaNLPElasticsearchPython
- greenable GmbHKaiserslauterncleantech / saas / carbon-accounting / esg[TypeScriptReactNode.jsPostgreSQL
- INSIDERS TechnologiesKaiserslauternsaas / ai / document-processingJava.NETPythonML
- proALPHAKaiserslauternsaas / erp / manufacturingProgress-OpenEdgeJavaC#Azure
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