For regulated and high-stakes work, we run inference privately — your prompts and data never touch a shared endpoint. The brain still syncs through MCP.
Most deployments route through cloud model APIs via our orchestration layer. For regulated work — law, healthcare, finance — we run dedicated, isolated inference so data never reaches an LLM lab. It's the last layer we add, sized to your workload.
Usage ranges are sized to your actual workload during the architecture review.
Tell us where you'd start, which clients your team uses, and whether you need private inference.