G.H.O.S.T.
Modular agentic AI platform

Mission AI that runs inside your own network.

G.H.O.S.T. gives your team specialist AI agents that run on your own hardware, in a private cloud, or fully disconnected. Your documents and your data stay where you put them.

Request a demo Meet the agents

One platform. Any mission. Anywhere.

G.H.O.S.T. agent selection screen: Phantom Shield, BattleMind, Universal AI and NODE.
What it is

A library of specialist agents on one secure platform.

Most AI tools are a chat window wrapped around a general model. In G.H.O.S.T. each agent knows one job, such as planning an operation, administering a contract or diagnosing a network. It works from your own files and doctrine, shows where every answer came from, and runs the steps for you.

  • Problem 1

    Standing up AI takes specialists and months.

    Pick an agent and start. They arrive ready, and Cypher helps install the platform.

  • Problem 2

    Chat tools make everyone write careful prompts.

    One-click workflows run the steps for you. No prompt engineering.

  • Problem 3

    Sensitive data cannot leave the building.

    It runs on your hardware or fully disconnected, with an optional design that never calls home.

  • 34specialist agents
  • 7platform capabilities
  • 1,460ready-made workflows across the agents
  • 0outside connections when disconnected
See it work

Pick an agent. Give it your files. Get a cited answer.

Step 1

Choose the agent for the job.

Each agent is built for one mission area. Pick one from the roster, or let G.H.O.S.T. Mode choose the team for you.

Step 2

Approve the mission.

State the task in plain language and attach your files. The plan is shown first, and nothing runs until a person approves it.

Step 3

Watch it work.

Every step shows on screen: what it searched, which documents it read, and which model it used.

Step 4

Review the findings.

Results arrive ranked, with evidence, assumptions and gaps, ready for a person to review and approve.

Real G.H.O.S.T. screens. Names and files shown are sample data.

The agents

34 specialists, each built for one job.

Agents work from the doctrine, regulations and procedures of their field, and every claim cites the document it came from. Cypher can build new agents for your mission.

BATTLEMIND agent card
J-ARC agent card
NODE agent card
SABER agent card
SUB-ZERO agent card
UNIVERSAL AI agent card

Mission planning

  • BATTLEMINDArmy operations planning and the military decision-making process77 ready-made workflows
  • J-ARCJoint planning for combatant command and task force staffs38 ready-made workflows
  • SABERMarine Corps planning, step by step through MCWP 5-1072 ready-made workflows
  • SUB-ZERONavy planning with an information warfare focus43 ready-made workflows
  • AEROCENTAir Force joint planning, from guidance to the air tasking order68 ready-made workflows
  • SYNQStaff coordination and decision support for front offices50 ready-made workflows

Intelligence and cyber

  • TALONCyber threat intelligence that turns reporting into defensive action42 ready-made workflows
  • PERISCOPEOpen source collection planning and source vetting33 ready-made workflows
  • VANTAGEAll-source analysis and finished intelligence30 ready-made workflows
  • InWardInsider threat and counterintelligence analytics32 ready-made workflows
  • SIFTDigital forensics and incident response analysis50 ready-made workflows
  • BASTIONSecurity assessment and authorization through the risk management framework16 ready-made workflows
  • QUARRYScoring mission data to decide what earns engineering time30 ready-made workflows
  • PULSEFinding the blind spots in security telemetry40 ready-made workflows

Acquisition and legal

  • PRYMEPre-award acquisition, from market research to solicitation33 ready-made workflows
  • ARIAPost-award contract administration13 ready-made workflows
  • CADENCERequirements, deliverables and program rhythm48 ready-made workflows
  • JURISLegal evaluation and regulatory analysis40 ready-made workflows
  • REDACTFOIA processing and declassification review34 ready-made workflows

Networks and infrastructure

  • NODENetwork operations and troubleshooting across vendors45 ready-made workflows
  • LYNXLinux and cloud router engineering50 ready-made workflows
  • SysTowerServer operations and infrastructure analysis90 ready-made workflows
  • TRIADMulti-cloud engineering and cost72 ready-made workflows
  • DataMindDatacenter facilities and critical infrastructure40 ready-made workflows
  • GridLockMicrogrid engineering, operations and testing37 ready-made workflows
  • CASCADEWhat a proposed change will actually touch50 ready-made workflows
  • FATHOMRebuilding legacy systems from the evidence left behind36 ready-made workflows
  • LATTICEDatabase, data pipeline and data-quality analysis35 ready-made workflows

Knowledge and people

  • UNIVERSAL AIThe general assistant every user starts with37 ready-made workflows
  • AMBASSADORTranslation and linguistic intelligence40 ready-made workflows
  • LORECapturing what experts know before they leave45 ready-made workflows
  • VELLUMGoverning what a retrieval system may answer from30 ready-made workflows
  • HAVENFederal HR and workplace guidance19 ready-made workflows

AI assurance

  • GAUNTLETOffline testing to prove an AI system works before it ships45 ready-made workflows
Platform capabilities

More than a chat window.

Seven capabilities sit on top of the agents. They are how G.H.O.S.T. plans, checks its own work, remembers, and decides where each task should run.

AI Council

Convene more than one expert.

State a tasking and G.H.O.S.T. proposes a chair and a set of specialist seats. The council deliberates in front of you, keeps dissent visible and returns one verdict.

It is advisory only. The operator keeps the decision.

  • Each seat can run a different model
  • A standing team you can keep tasking
  1. 1TaskingState the goal
  2. 2RecommendChair and seats proposed
  3. 3The councilEach seat has its own role and files
  4. 4DeliberateDissent stays visible
  5. 5VerdictOne answer, reasoning traceable
M.A.C.S.

Wargame the plan before the world does.

Stand up a friendly agent that knows your unit, your doctrine and your orders. Stand up the opposition and arm it with everything you hold on it. Then let them fight. Every hole they find is one you close first.

The same engine works in business: your company against your three biggest competitors.

  • Multi-agent competitive simulation
  • You control the rounds and keep a written record
  1. 1Your sideBuilt from your material
  2. 2The oppositionArmed with what you know
  3. 3The engagementRounds you control
  4. 4FindingsHoles in the plan
  5. 5RecordWritten and kept
Agentic Loop

One prompt, many rounds.

Instead of one pass over your files, the agent plans its own lines of inquiry. It searches your documents and trusted sources round after round, reads the passages that matter, checks what it still lacks, and only then writes the product.

Every round is on screen, and the answer arrives with its sources and its gaps stated.

  • Sources cited for every claim
  • Gaps declared, never filled in
  1. 1TaskingOne plain request
  2. 2StageWorkflow, files and model
  3. 3Search and readRound after round
  4. 4AssembleBuilt from what it read
  5. 5DeliverProduct, sources, gaps
Smart Router

The right model, automatically.

Every request is scored for how hard it is to reason about. Your policy and spend window decide where it goes: a small model on your server, a large model on your server, or an outside model only when the problem needs it.

When an outside model is used, names, dates and record numbers become tokens first and are restored on return. The reasoning leaves. The data does not.

  • You set where the work is allowed to go
  • Cost stays under your control
  1. 1RequestOperator states the task
  2. 2ClassifyAlways on
  3. 3PolicyYour rules and spend
  4. 4Model chosenSmall, large or outside
  5. 5SanitizeTokens out, answer restored
Memory

Every session starts where the last one ended.

G.H.O.S.T. captures corrections, decisions and their reasons as your team works, and anyone can pin a fact with "remember this". Personal memory is yours to edit.

Nothing enters shared team memory silently: a curator promotes each entry. Doctrine and policy always outrank memory.

  • Provenance and a last-confirmed date on every entry
  • A fixed, known cost in every session
  1. 1CapturedCandidates proposed
  2. 2CuratedA person approves
  3. 3Pinned coreRides in every session
  4. 4Stays currentStale entries retire
Hunter

It does not wait for an alert.

Point it at a log store, a SIEM export, a database or an API. It maps what normal looks like, takes its mission in plain language, and sweeps every record with detectors that cost nothing to run. A model sees only the few candidates that survive.

Each confirmed finding opens its own sub-hunt, and the loop runs inside the GPU limit you set.

  • Full coverage, so the report can prove what was checked
  • Advisory only: analysts keep the decision
  1. 1TerrainMapped and baselined
  2. 2HuntDetectors sweep everything
  3. 3FindingsSeverity, evidence, next step
  4. 4Keeps goingEach find opens the next
G.H.O.S.T. Mode

One request. The right agents.

Real taskings cross specialties. Describe the task and attach what you have, and G.H.O.S.T. detects the mission area, assembles the specialist team and runs each agent on the workflow that fits its part of the job.

It asks instead of assuming, and it returns one deliverable with citations, assumptions and gaps, staged for human review.

  • Any good run can be saved as a reusable workflow
  • Commanders, contracting officers and counsel stay the authority
  1. 1RequestPlain language plus files
  2. 2DomainAmbiguity reported, not guessed
  3. 3OrchestrateLead and specialists
  4. 4ExecutePauses to ask
  5. 5DeliverableOne cited synthesis
Use cases

Two jobs it already does well.

Contracting and mission planning both bury skilled people in drafting and reconciling. G.H.O.S.T. does the drafting, cites where each line came from, and leaves the decision with the person.

Contracts and acquisition

From requirement to award, faster.

Federal acquisition teams have to award faster and document more with a shrinking workforce. The Acquisition agent supports every phase of the lifecycle and keeps each file audit-ready and protest-defensible, with every citation traced to the FAR and the agency supplements.

  • Market research and industry analysis, using SAM.gov, FPDS-NG and USASpending data
  • Acquisition plans, IGCE, D&F and J&A first drafts
  • PWS and SOW drafting, with evaluation criteria matched to Sections L and M
  • Source selection support, evaluation boards and debriefings
  • CDRL tracking, invoice review, modification review and CPARS narratives
  • Closeout checklists and audit-ready files

Works with FAR and DFARS, GSA schedules, GWACs and IDIQs, SAM.gov and FPDS, and SBIR and STTR. It runs on SIPR, JWICS, classified networks or fully disconnected, so no data leaves your secure network.

  • 65%less time preparing acquisition packages
  • 70%less time on evaluation documentation
  • 60%less time reviewing modifications
  • 55%less time on closeout documentation
  • < 2 minto a first-draft PWS or SOW
Mission planning and operations

Decision advantage at the tactical edge.

Complex operations need faster planning cycles, more analytical depth and more consistent documentation than staffs can sustain by hand. The Mission Planning agent compresses the timeline without giving up rigor, traceability or security.

  • Situational awareness built from many sources, with full source attribution
  • Several structured courses of action, each with risk, resources and decision criteria
  • Concepts of operations, synchronization matrices, execution checklists and risk registers
  • Logistics and resource modeling, with alternative sourcing and quantified tradeoffs
  • After-action reviews turned into lessons learned linked to doctrine
  • Briefing slides, status reports, meeting minutes and decision logs

Runs air-gapped or offline, on SIPR and JWICS, forward deployed, in operations centers, and on enterprise cloud.

  • 80%less time on intelligence synthesis
  • 75%faster course of action development
  • 70%less time drafting planning documents
  • 65%less time on after-action synthesis
  • 60%shorter logistics planning cycle
  • 50%less staff administrative work

Figures are from Cypher product documentation. G.H.O.S.T. is also built for healthcare, legal and compliance, IT and infrastructure, finance, and policy teams.

Runs anywhere

Your hardware. Your network. Your choice of model.

One platform, deployed the way your security posture needs it. In offline mode it keeps its data in a local database and runs local models. It reads documents, databases, REST APIs and SharePoint, and Cypher can have it operational in under 48 hours.

Who uses it
Analysts and plannersOperations, intelligence, staff
Legal and contractingAcquisition, compliance, counsel
IT and network operationsInfrastructure and incident response
Finance and program teamsRequirements, deliverables, reporting
Inside your boundary
OrchestrationWorkflow router, multi-step planning and guardrails
Document search with citationsIngest, index and retrieve, with a source on every answer
Specialist agents34 ready agents, plus the ones Cypher builds for you
Security and governanceAccess control, audit log, kill switch
Which model answers
Ollama
Models on your own serverOpen models such as Llama and Mistral, run with Ollama or vLLM
Anthropic
AnthropicClaude, only when you allow an outside model
OpenAIGoogle Gemini
OpenAI, Azure OpenAI and GoogleGPT and Gemini, only when you allow them
Fully offlineIn air-gapped mode every outside provider is refused

  • On-premises

    On your own servers and hardware, behind your own firewall.

  • Private cloud

    In your own cloud tenant, so the data boundary does not move.

  • Hybrid

    Sensitive work stays local while approved work uses the cloud.

  • Fully disconnected

    No internet needed. An optional zero-connectivity, no-call-home design for closed networks.

Why teams choose it

  • Works offline or on classified networksNo internet is required, and nothing leaves your network.
  • No data exfiltration riskIt runs inside DoD containerized environments, and inference stays local.
  • Ready on day oneAgents arrive pre-trained and pre-configured, so there is no experimental prompting.
  • Built on doctrineAgents are trained on field manuals, joint publications and military standards, so answers stay accurate and trusted.
  • PortableIt runs on hardened laptops or tactical servers, for field and austere sites.
  • Rack-side help, fully disconnectedThe Data Center Operations agent runs on the G.H.O.S.T. Mobile laptop and diagnoses switch, router and firewall faults from command-line output.
Security and governance

Built to be audited.

An AI platform for sensitive work has to be easy to inspect. These controls ship with the platform.

  • Role-based access and single sign-onGranular permissions per user and per agent, with identity federation and optional multi-factor sign-in.
  • Smart card sign-inOptional CAC and PIV sign-in for deployments that require it.
  • A full audit trailEvery session is traced and logged in a tamper-evident chain, with an audit log viewer for administrators.
  • A kill switchInstant shutdown and incident isolation when something looks wrong.
  • Containerized and encryptedPackaged and encrypted to meet DoD and Intelligence Community requirements, built around NIST 800-53 controls.
  • Uploads are scannedFiles are checked for malware before they enter the document store.
  • Advisory only, by designG.H.O.S.T. drafts, analyzes and recommends. A person stays the authority, and every product is staged for review.
  • No outside services at runtimeFonts, models and search can all run on your side of the boundary. Web search is off unless you turn it on.
  • Classification bannersBanners show on every screen, so people always know the level they are working at.
  • Separate workspacesAgents, workflows and appearance can be set up separately for each organization or unit.
  • Model provenanceEvery answer records which model actually produced it, so a reviewer can see what was behind the words.
  • A built-in guideG.H.O.S.T. Wingman explains features and what the signed-in user is allowed to do. It never acts for them and stores no conversation on the server.
Government alignment

Aligned with federal AI policy.

G.H.O.S.T. is built to be adopted inside federal rules, not around them.

  • Responsible AIAligned with the DoD AI Ethical Principles and the CDAO Responsible AI guidance. No model training on operational data, no data leakage, and reasoning that can be audited.
  • OMB M-25-21Compliant with OMB M-25-21. It enables secure on-premises AI adoption, operates within Zero Trust architectures, and provides modular, standards-based components for federal interoperability.
  • EO 13960 and EO 14179Supports both orders: transparency, accountability and traceability, safe and testable AI for sensitive mission work, and augmented people rather than full autonomy.
  • FedRAMP pathwayPrimarily offline, with an architecture that moves cleanly to FedRAMP-authorized cloud enclaves for hybrid use. ATO ready for DoD and IC networks.
In use

Fielded, not a prototype.

G.H.O.S.T. has been deployed and validated in high-stakes environments across multiple combatant commands and partner nations, connected and fully disconnected. These are examples from the field.

  • U.S. Army, Operation Freedom ShieldBATTLEMIND supported live MDMP execution at the Division headquarters at Schofield Barracks, Hawaii. Planners sped up mission analysis and briefed their products directly to the Commanding General.
  • U.S. Army, Pacific Pathways, PhilippinesCombined planning in austere forward environments during bilateral exercises, which validated the disconnected deployment model.
  • 3rd Infantry Division, STAFFEX, Zagan, PolandMission analysis and course of action support for Division staff planning, in joint training with U.S. Army Europe and NATO partners.
  • JPMRC Yama Sakura, JapanMultinational staff planning in coalition exercises, producing doctrinally aligned MDMP outputs with no internet or cloud.
Request a demo

Tell us about your mission. We will show you the agents.

Request a live demo or an evaluation license, deployed in your own environment at no risk. Standard commercial terms and published pricing: the same product for every customer, commercial or government.

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Cypher, LLC

Built and supported by Cypher, LLC.

Cypher is a Service-Disabled Veteran-Owned Small Business in Ashburn, Virginia. Its cleared engineers install, configure and support G.H.O.S.T. on your network.

  • Service-Disabled Veteran-Owned Small Business
  • ISO 9001 certified through DEKRA
  • CMMC compliant company
  • UEI UVKETSQ7AQG3, CAGE 6ZPW9