Your LLM is your agent's biggest weakness.Put a task model under it.For basically free.

Train a small open-weight model on your proprietary outcomes for one scoped job — fraud, triage, routing, review — then point your existing agent or harness at it. Shared cloud, your VPC, or confidential GPUs. Beat frontier reliability without frontier prices.

Agent ≠ model. We sell the model.

A task model is a small open-weight model trained on your data for one job, then called by your agent. Specialist Factory is the brand; the product is the task model under the stack — not another “specialist agent.”

Technical GTM / growth

Make the agent demo reliable without burning frontier budget on every call.

Product & ops

Same workflow, better decisions — measured against labels you already have.

Platform eng

Eval-first training, trust tiers, adapters wired into the runtime you own.

Keep the agent. Swap the weak link.

Frontier models stay for open-ended work. For the high-volume loop, put a task model underneath — Shared for Pilot, your VPC when data is material, confidential GPUs when attestation is required.

Pilot — Shared

Prove beat-frontier on your eval. Fastest win for GTM and eng.

Build — Your cloud

Train in your VPC when proprietary data can't leave.

Scale — Confidential GPU

Attested NVIDIA TEEs when “feels like exfil” still blocks the deal.

Stop paying frontier prices for the model under your agent

Pilot includes training credits. Point your harness at the task model and go.