Federal AI fields Cleared FDEs, engineers who are experts in security and AI in the same seat. Based in the National Capital Region, they embed beside the mission, connect approved models to authoritative systems, bound what AI may do, and stay accountable until the capability is operational in your cloud, on-premises, or air-gapped environment.
A model reads the same synthetic maintenance, scheduling, and supply evidence the cockpit shows above. Every claim cites a record; nothing is executed. Public, non-sensitive questions only.
Most AI programs die between interesting and operational. A Cleared FDE™ is a security engineer and an AI engineer in the same person, able to work in customer-approved secure environments, embedded beside the mission, and accountable through acceptance. They deploy the products below, connect them to your systems, train your operators, and stay until the capability is used.
Cleared engineers able to operate in customer-approved secure environments, including disconnected and air-gapped networks most vendors never see.
Platform hardening, identity, policy, and evidence, and model integration, evaluations, and mission workflows, from the same person. No handoff gap for a program to die in.
Enter through one bounded workflow, stay through acceptance, and leave reusable connectors, Mission Skills, and trained operators, not a slide deck.
30 minutes. Bring one recurring decision or stuck workflow. A technical lead joins, no capabilities pitch.
No costSystem map, authority model, deployment profile, Mission Checkride, and a fixed implementation proposal.
$35K–$50K fixedA Mission Workflow Sprint or an embedded MissionCell, Cleared FDEs deliver and operate beside your team.
From $70K fixedEvery product below began inside a real deployment, field-proven workflows our engineers hardened into software. Buy them with an embedded Cleared FDE team, or run them where your mission needs them.
The mission intelligence layer above the training stack, trusted cross-system data, objective forecasts, course-of-action comparison, human approval, and a decision ledger. The current U.S. Air Force delivery.
Direct-To is Federal AI's secure mission workflow control plane. It coordinates approved models, local data, enterprise tools, policy, and human approvals, then returns the result with the evidence needed to trust and release it.
EnclaveDeck is a secure, vendor-agnostic AI operator workspace. Mission teams investigate, plan, approve, execute, and verify work across fragmented OEM consoles, command lines, and monitoring tools, without sending mission data to a public cloud.
Optimize is the mission intelligence layer for a readiness domain. Direct-To productizes any recurring mission workflow. EnclaveDeck is the operator's workspace across live mission systems. All three deploy with an embedded Federal AI FDE team.
Most AI programs die between interesting and operational.
One focused interface qualifies the workflow, maps connectors, recommends the forward-deployed team, and drafts the first mission brief. No chat theater. No access to your systems.
| Workflow task | Owner | ~Share | Boundary |
|---|
The operating model is easier to trust when the boundaries are explicit.
Sell a generic chatbot and call it transformation.
Force a rip-and-replace before proving mission value.
Hide weak reasoning behind a polished interface.
Leave operators with a prototype nobody owns.
The first transaction is deliberately small enough to start quickly and substantial enough to produce a real architecture, acceptance path, and implementation decision.
Select one recurring decision, the mission owner, the authoritative systems, and the likely acquisition path.
Receive the system map, authority model, deployment profile, Mission Checkride, and fixed implementation proposal.
One bounded mission workflow, one security boundary, up to three integrations, delivered as a Direct-To Mission Skill with a measured production pilot.
A mission architect, AI integration engineer, and platform/security engineer operate a prioritized workflow backlog.
The questions federal buyers ask first, answered without a capabilities pitch.
No. We usually begin by connecting to the systems and workflows already in place. Replacement only becomes a recommendation when it is justified by mission value, security, or ownership cost.
Yes. We design for local inference, controlled model and data movement, offline operation, and human approval boundaries. The exact architecture is matched to the target environment and governing requirements.
Yes. Cleared personnel are available based on engagement requirements. We discuss access, location, and staffing during the mission-fit briefing without requesting sensitive details through this site.
Both, deliberately. Optimize, Direct-To, and EnclaveDeck are Federal AI products; cleared forward-deployed engineers deliver them inside the customer environment and stay accountable through acceptance. The products create leverage, the FDE team closes the last mile.
A no-cost mission-fit briefing takes 30 minutes. A 10-day Mission Integration Scan produces the system map, authority model, and a fixed implementation proposal. The public AI assessment above drafts a mission brief right now.
Cloud, on-premises, or air-gapped. One bounded workflow first. Evidence with every result, and a named human before anything consequential happens.
