Nesa enables running AI models with end-to-end encryption, providing privacy guarantees comparable to on-prem infrastructure through an API. The platform supports various model architectures including Llama, Mistral, and Stable Diffusion. Users can execute inference on encrypted data without exposing raw inputs or outputs to the service provider.