Fine-tune models on your private data inside a TEE

Adapt a base model to your domain using proprietary or regulated data. Training runs inside a Trusted Execution Environment so your examples and the resulting weights stay private to your organization. Engagements are scoped case by case, so tell us the model and the dataset and we will come back on fit and timing.