We train models faster.

Foundation models can take months to train. Kuai accelerates this process at the algorithmic level: our ensembling strategy makes training up to 4x faster and 2.5x cheaper while maintaining performance.

We offer a plug-and-play training parallelization service that allows you to rapidly train your choice of model on your chosen infrastructure, without sacrificing data control. Our approach also makes it easy and cost-effective to update your model on new data. Contact us to learn more about how we can speed up your training pipeline.