Mission possibilities

One agent foundation.
Many missions.

Start with simulation and human-machine teaming as a visible proof, then bring the same governed agent foundation into cyber operations, technical data, tactical intelligence, acquisition, and service delivery without replacing the systems or people already in command.

Six places to start

Bring specialized agent teams to the work government already performs.

Each pattern uses the same Stark foundation, then adapts roles, tools, models, and approvals to the mission in front of you.

01 / MISSION PATTERN

Training and simulation

Evaluate a human directing one fleet in natural language against an autonomous commander, or observe two isolated autonomous commanders adapt inside one authoritative simulation.

Control stays with you. The simulator owns state, time, scoring, policy, permissions, action admission, and consequence. Every agent output remains a proposal until native policy admits it.

Explore the leading proof
Leading proof exampleLeading proof example

02 / MISSION PATTERN

Cyber and mission autonomy

Give specialist agents distinct roles in maintaining a mission picture, weighing competing objectives, and proposing defensive or mission actions within a defined decision window.

Control stays with you. Mission software, rules, permissions, and human command decide what happens. An agent can recommend an action or choose no action, but it cannot bypass the host.

Application patternMission decision support

03 / MISSION PATTERN

Technical data and maintenance

Help maintainers move from symptoms to relevant technical context, procedures, and source-backed inspection or work-package recommendations faster.

Control stays with you. Technical orders, configuration-controlled source systems, and qualified maintainers determine what guidance applies and what work is performed.

Application patternMaintainer decision support

04 / MISSION PATTERN

Tactical-edge intelligence

Bring local decision support to constrained environments so teams can organize available reports and sensor inputs, surface uncertainty, and prioritize what to examine next.

Control stays with you. Operators and mission systems retain source-trust decisions, tasking, engagement authority, and dissemination control. Data handling and security posture remain deployment-specific.

Application patternLocal intelligence support

05 / MISSION PATTERN

Acquisition and contracting workflows

Use traceable agent roles to map requirements, compare clauses and submissions, draft review artifacts, and surface unresolved dependencies for human review.

Control stays with you. Authorized acquisition and contracting personnel, together with their systems of record, retain every determination, approval, commitment, and official record action.

Application patternTraceable program workflows

06 / MISSION PATTERN

Service operations

Deploy role-specific agents to triage logistics, readiness, personnel, or service queues, assemble the right context, and propose next steps across existing workflows.

Control stays with you. Program rules, authoritative records, and authorized staff control execution. A proposal changes nothing unless the host explicitly admits the typed action.

Application patternOperational workflow support

Scope note: These patterns show where Stark could be applied through program-specific integration. They are not claims of customer adoption, fielding, certification, classified operation, or deployment approval.

A repeatable control model

Change the mission, not the rules of engagement.

Agents, tools, and models can change by program. The four-step path from context to authorized action stays recognizable.

  1. 01

    Give each role the right view

    The host shares only the state, tools, and decision window required for that agent's mission.

  2. 02

    Turn reasoning into a proposal

    The model returns a structured recommendation or action request. It does not change mission state directly.

  3. 03

    Let native authority decide

    Host policy, permissions, and human approvals accept, reject, or revise the proposal.

  4. 04

    Keep the result reviewable

    The system records inputs, proposals, gate outcomes, timing, and the authoritative consequence needed for evaluation and replay.

From idea to accepted capability

Start ambitious. Prove each step.

Stark separates what works today, what the reference demonstrator shows, what a program could build, and what a real deployment must prove.

Foundation today
The reusable runtime and supervised local process foundation are implemented and available for technical evaluation.
Reference demonstrator
BLACKBODY shows how that foundation connects to a demanding simulation host. It is not a customer or operational deployment.
Mission design
The six patterns on this page are opportunities to shape with a program, not claims that mission-specific products have already shipped.
Program acceptance
Security, offline operation, suitability, authorization, and mission effectiveness must be proven in the named deployment with its responsible authorities.

Turn a mission need into a bounded pilot.

Start with the problem, identify what people and software must continue to control, then choose the smallest integration that can prove technical fit and operational value.

Start with the mission boundary

Bring the system you trust.
We’ll map governed agents around it.

Keep all initial inquiries unclassified and non-sensitive. Do not send controlled data, credentials, export-controlled material, or system artifacts through the public website.

Schedule a mission briefing