Orchestrate the system
Grace routes work across knowledge collections, local models, tools, agents, and R.A.I.S.E. runtimes. No single model or interface becomes the system of record.
Grace AI Operating System
Grace OS coordinates the whole Redacted AI Solutions architecture: R.A.I.S.E., knowledge, identity, policies, models, tools, agents, workflows, approvals, and operational state.
Core control plane · configured per deploymentThe point
The operating layer owns the durable rules: who may ask, what data may be used, which agent may act, which model may run, when approval is required, and what evidence must remain after the task is done.
Grace routes work across knowledge collections, local models, tools, agents, and R.A.I.S.E. runtimes. No single model or interface becomes the system of record.
Work begins with a defined user, task, data boundary, permitted tools, and expected output. Grace assembles context for that purpose instead of exposing the entire knowledge estate by default.
Agents operate inside explicit authority. Grace can require checks, approvals, escalation, or a full stop before sensitive or consequential actions proceed.
Policies, decisions, sources, action history, exceptions, and outcomes stay available for review and improvement instead of disappearing inside a chat transcript.
Work with us
We design Grace around your actual authority model, review process, data boundary, and tolerance for autonomous action.
Direct answers
No. Interfaces can sit above Grace, but Grace is the control and orchestration layer beneath them. It coordinates policy, context, models, tools, agents, workflows, and operational memory.
No. Grace keeps models replaceable and routes work to an appropriate locally available engine under deployment policy.
No. Grace makes their authority, evidence, actions, exceptions, and review path visible. Governance improves control and accountability. It does not guarantee a correct result.