Eval frontier vs open-weight on your labels before you spend.
Train task models on proprietary outcomes, then put them under your agents — Shared, BYOC, or confidential GPUs.
Teams that already have an agent or workflow on one labeled, high-volume job — stuck because the frontier LLM is too expensive, flaky, or unsafe with proprietary data.
Eval frontier vs open-weight on your labels before you spend.
Post-train a small open-weight model on the trust path security accepts.
Deploy the endpoint and point the scoped agent call at the task model.
Same recipes. Different data plane. Expand when the deal requires it.
Pilot & demos. Fastest time-to-first task model.
BYOC when plaintext can't land in our VPC.
NVIDIA TEE + attestation before KMS release.