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.
- Training data never leaves the TEE boundary
- Resulting model weights scoped to your organization
- Works with Llama, Qwen, DeepSeek, and other open-weight models
- Deploy the tuned model directly on NEAR AI Cloud
Continue in NEAR AI Cloud to record your interest. This does not create infrastructure automatically.