TabPFN (eigenes Foundation Model)Rare
Used by 1 of 3.440 companies (0.0%)
startupVerified
Prior Labs
- Industry
- AI / Foundation Models / Tabular Data / AutoML
- Founded
- 2024
- Employees
- 11-50
- Total funding
- €9.0 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
Bayesian MethodsRare
Used by 1 of 3.440 companies (0.0%)
PyTorchRare
Used by 117 of 3.440 companies (3.4%)
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 Prior Labs compares to its industry and city.
Funding position
Top 52%
More funding than 48% of all companies with reported funding.
Industry median: €9.0 Mio
Similar companies
Similar companies
Similar stack
At least 2 shared technologies
- Compredict3 shared techsDarmstadtAutomotive / AI / Software-Defined Vehicles / Virtual SensorsPythonTensorFlowPyTorchEdge-AI
- Flower3 shared techsHamburgAI / Federated Learning / ML InfrastructurePythonPyTorchTensorFlowFederated Learning Framework
- Meshcapade3 shared techsStuttgartAI / 3D Body Modeling / Digital Twins / SaaSPythonPyTorch3D-Computer-VisionSMPL-Modelle
- Mirantus Health3 shared techsBerlinHealthTech / Augengesundheit / Digital HealthPythonPyTorchAIDICOM
- PEAT GmbH (Plantix)3 shared techsBerlinAgritech / Computer VisionPythonPyTorchKotlinMobile CV
- 1Komma5° (1KOMMA5 GmbH)2 shared techsHamburgcleantech / energyPythonIoTReactCloud
Same location
Local tech ecosystem
- NexWafe GmbHFreiburg im Breisgaucleantech / solara (Halbleiter-Solarfertigunginterne Software: PythonLabVIEW)
- ElevaFreiburg im Breisgaubiotech / moss-bioreactor / drug-discoveryBioreaktor (Moos-System)GlycoengineeringGMP-Produktion
- RecydaFreiburg im Breisgaucleantech / circular-economy / saas / packagingTypeScriptReactPythonPostgreSQL
- PLAN4Freiburg im BreisgauPropTech / GreenTech / GebäudesanierungSaaS (GebäudeCheck)CloudDatenanalyse
- QurieFreiburg im BreisgaudeeptechElektrothermal CoolingHardware-SoftwareIoT
- AugRepFreiburg im Breisgauconstructiontech / ar / reportingARMobileCloud
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