Insights Hub
Kaiko-Vortex-1 wins Vision Language Task
Our MLLM outperforms in Vision Language at the Unicorn Challenge 2025
Bringing Swiss AI precision to healthcare
EPFL and ETH Zürich’s model coming to kaiko users.
Training State-of-the-Art Pathology Foundation Models with Orders of Magnitude Less Data
The paper accompanying the release of our pathology vision model “Midnight”: SOTA performance can be reached with orders of magnitude less data than previously thought.
Evaluation Framework for Pathology Foundation Models
Our open-source framework: eva, for evaluating computational pathology foundation models (FMs).
Towards Training Large-Scale Pathology Foundation Models: from TCGA to Hospital Scale
Initial work towards our first pathology vision FM preceding and laying the groundwork for our most recent Midnight family of models.