Mission Readiness Brief
Ingest availability and maintenance records, reconcile conflicting data, identify limiting conditions, and pause for command disposition.
Cited brief · discrepancy ledger · approval record
Built · tested
Federal AI/Mission Readiness OS
Direct-To.
Mission request in. Verified outcome out.
A secure operator surface for mission workflows that span fragmented systems, sensitive data, disconnected environments, and consequential decisions. Direct-To coordinates approved intelligence and tools, pauses at named control points, and attaches evidence to the outcome.
Delivered by Cleared FDEs
Air-gap ready
Local by default
Read-only by default
Direct-To / Mission runSynthetic · illustrative
Sample missions
Select a sample mission and start the run.
StateQueued
Approval required before release.
Evidence-backed result
Illustrative demonstration with synthetic data. Isolated from any real backend. No uploads, no live systems, no customer credentials. Open the full Mission Cockpit →
DeploymentCloud · on-premises · air-gapped, with deterministic offline bundles
InterfacesBrowser cockpit · API · CLI
EvidenceSHA-256 hash-chained ledger · append-only audit · rollback staged
ReleaseRelease 0.1 · Mission Checkride 7/7 · signed transfer packages
One controlled mission loop
The operator asks for the outcome, not the model.
Direct-To preserves mission rules, connects approved systems, coordinates the work, and exposes only the decisions that require a human. The result arrives with its sources, tests, approvals, artifacts, and audit trail.
01State
Where the mission run stands right now, queued, running, holding for approval, complete, or blocked.
02Current result
The best available answer at this moment, always tied to the sources that produced it.
03Next required action
The one thing the operator or approver must do for the run to advance.
04Controlled workflow
The governed steps the run will take, no improvised actions, no silent scope changes.
05Evidence package
Sources, artifacts, tests, hashes, decisions, approvals, and rollback context attached to the run.
Initial production workflows
Start where the work already recurs.
Each workflow is delivered as a versioned Mission Skill: rules, permissions, data mappings, workflow steps, evaluations, evidence requirements, and rollback procedures.
Sudo Detection Builder
Interpret a plain-language control objective, generate SIEM detection rules and dashboards, run static safety checks, and hold the deployment package for approval.
Detection rules · static tests · transfer package
Built · tested
Secure System Integration
Connect files, databases, analytics systems, and approved model endpoints through constrained adapters and policy.
Connector · policy map · evidence trail
Core connectors
Mission Skill Foundry
Encode a customer's own recurring workflow, rules, permissions, mappings, evaluations, and rollback, as a deployable Mission Skill.
Deployable skill · evaluation set · operator guide
Delivered per engagement
How it works
Five steps. One accountable loop.
The operator does not select a model or assemble an agent graph. The operator selects the outcome.
01Assign the mission
State the desired result in mission language. Name the accountable owner and the acceptance test.
02Load mission context
Retrieve governing definitions, data mappings, prior decisions, and local rules.
03Coordinate approved intelligence
Route work to approved local or commercial models and invoke constrained connectors.
04Pause at control points
Require named human approval before consequential actions or release.
05Verify the result
Attach sources, tests, decisions, hashes, artifacts, and rollback context to the outcome.
Control before autonomy
Designed for environments where proof matters.
Security is expressed as visible control design, fail-closed authority, hash-chained evidence, and append-only audit, not as a substitute for the customer's own security assessment.
, Fail-closed authority
Unknown actions deny. Consequential actions hold for a named approver. Read-only is the default posture.
, Evidence engine
SHA-256 hashed evidence, downloadable artifacts, and an append-only audit trail travel with every run.
, Approved model routing
Primary local route with a governed alternate. The workflow keeps operating when the model route changes.
, Air-gap packaging
Offline-first deployment with deterministic disconnected bundles. Environment-specific scanning, transfer, identity, hardening, and authorization remain required.
, Delivered by FDEs
Software ships. An engineer owns the result. Not staff augmentation, outcome ownership, through acceptance.
Best first move
Bring us one recurring mission workflow.
Federal AI will help define the owner, systems, security boundary, acceptance test, and fastest path to a controlled pilot. The customer buys a governed operational outcome, not generic access to an AI model.
Mission Workflow Sprint
$70,000 · 90 days · fixed scopeOne bounded mission workflow taken from definition to a measured production pilot, delivered by cleared forward-deployed engineers.
Request a Mission Workflow Brief- One bounded mission workflow
- One security boundary
- Up to three principal integrations
- Mission Skill implementation
- Evaluation and acceptance set
- Operator training
- Measured production pilot
Current release boundary
Direct-To release 0.1 is a tested pilot foundation. It demonstrates durable workflows, approvals, evidence hashing, artifact generation, audit events, a browser interface, API, CLI, and offline-first deployment. Production use requires environment-specific identity, connector acceptance, security testing, and authorization.
Ready when the mission owner is
Mission request in. Verified outcome out.
Start with a no-cost mission-fit briefing, or run the public AI assessment on the Federal AI homepage first.