Run AI on encrypted data — inference, fine-tuning, and agents, all with proofs attached.
Encrypt, submit, and get back ciphertext with a proof.
Throughput and proof time, measured in public.
Tune a model on data the trainer never reads.
What hospitals, funds, and firms already run.