Knowledge + RAG
Potential workflows include policy and program knowledge, source-backed document orientation, internal research, comparison, and controlled drafting across approved collections.
Opportunity lane: government + public sector
Local AI for public work that requires institutional control.
Grace OS and R.A.I.S.E. can support qualified government and public-sector knowledge workflows where data location, disconnected operation, evidence lineage, agent authority, and review matter.
Qualified opportunities · procurement + controls requiredOn-siteDeployment option
LocalModel execution
LoggedWorkflow evidence
ScopedAuthority
The point
Public-sector AI needs a visible chain from authority to action.
The architecture can keep data and inference inside an approved boundary while Grace governs who may use which collections, models, tools, and agents. Suitability depends on the agency, data, mission, procurement path, and required controls.
Disconnected operation
R.A.I.S.E. can be designed for on-site or air-gapped operation with controlled provisioning, ingress, egress, updates, backup, recovery, and support.
Governed agents
Grace can scope agent authority, require policy checks and human approval, and preserve the evidence, tools, actions, exceptions, and outcomes reviewers need.
Claims + procurement boundary
This page does not claim FedRAMP, CMMC, FIPS, classified-system approval, an authorization to operate, or suitability for a specific agency. Those requirements must be established and validated for the engagement.
Work with us
Start with the mission, data classification, authority, and procurement path.
We can assess a bounded workflow with the responsible program, security, legal, procurement, and technical stakeholders in the room.