AI software for enterprise and government · Zero trust for AI agents

A place for AI to work.

We build the AI software your mission needs, and the governance plane it runs on. Any agent you already use, in any harness you want, anywhere a server can exist.

  • SBA-certified SDVOSB
  • Air-gapped or connected
  • Windows and Linux
  • Customer-held keys
  • CAGE 23QR6

Capability statement, PDF

Working software · Demonstrations on request
UTC
Orbital picture, computed in your browser. Every point is a tracked object, placed where its latest public orbital elements put it. Altitudes are drawn compressed. Drag to turn it. Hover to identify.Orbital picture, computed in your browser. Every point is a tracked object, placed where its latest public orbital elements put it. Altitudes are drawn compressed. Tap a point to identify it.
What we build

A builder of mission software, standing on its own governance plane.

Command, control and agentic software, and private AI models, with a governance plane that trusts no agent by default.

01 / Foundation

The governance plane

Zero trust for the AI itself. Every agent action is checked where it happens and recorded outside the agent.

  • Policy held as data, outside the model
  • Checked at the file, command, browser, desktop and API
  • Denied beyond granted authority, recorded either way
  • Tamper-evident record written outside the agent
The platform →
02 / Build

AI-driven software

AI software built to order for enterprise and government, from custom agents to command, control and communications software.

  • Custom agentic solutions for enterprise and government
  • Agent harness design and command-line tools for agents
  • Command, control and communications (C3) software
  • Red teaming for AI systems and the software around them
Development →
03 / Models

Private AI models

Models built on your own hardware from your own data, air-gapped, with weights you own.

  • Language models built from scratch on your own data, air-gapped, weights you own
  • Task-specific helpers built on site for isolated networks, proven against a locked test before use
  • Leak-checked evaluation, test rules written before the run
  • Digital twins, built to order
Private AI →
Custody

Enforcement is table stakes. Custody is not.

The platform installs in air-gapped or connected environments and the customer keeps full data sovereignty, so the record never reaches the company. The record is written to storage the customer chose, under keys the customer holds. The buyer makes two trust decisions, which artificial intelligence provider and which storage provider, and the plane is neither. A private model we build for you runs on your hardware, with weights you own.

Every entry is hash-chained to the one before it. The sample record below is built the same way. Change any entry and watch what the chain does.

Your choiceWhich AI provider
Your choiceWhich storage, which keys

See a record →

The governance plane

Agents powerful enough to matter. Governed enough to trust.

The governance plane supervises AI agents while they work. You decide what each agent is allowed to touch. Any agent you already use, in any harness you want, anywhere a server can exist. Bring your own AI, your own storage, your own systems. The plane is the plumbing and the logbook, and what flows through them is yours. Built for government and enterprise.

Moonwalker builds AI software for any mission, from command, control and communications software and agentic software to private AI models and digital twins, and the governance plane they can run on. The plane applies zero trust to the AI itself. Every agent action is checked against policy where it happens, at the file, the command, the browser and the API. An action beyond granted authority is denied. Sensitive actions wait for a human. Every action is recorded outside the agent in a tamper-evident record. It installs air-gapped or connected, on Windows and Linux, and the customer keeps full data sovereignty, with your AI provider, your storage and your keys.

DecidePolicy decision point for every agent action
EnforceEnforcement at the application, API, data and endpoint
AccessLeast privilege and privileged-activity control for agents
RecordData integrity, audit and compliance evidence
WatchMonitoring of agent actions and central policy management
Works with the agents you already use
  • Claude Code
  • Claude.ai
  • Codex CLI
  • ChatGPT
  • Any MCP client
The four promises

Every part of the governance plane keeps four promises.

01

Any AI, no lock-in.

Bring the agent, the harness and the model you already use, or have us build them. The plane attaches no model of its own.

02

You know who is acting.

Every action is tied to the person or system that asked for it and the agent that carried it out.

03

The agent does only what you allowed, and you can stop it.

Authority is checked at the point of action. Risky steps meet a warning, an approval or a hard stop. Changes are backed up before they happen.

04

You hold the proof, and it has a price.

Every action lands in a tamper-evident record on your storage, under your keys. That record makes agent work reviewable, defensible and insurable.

The product

This is what a governed action looks like.

Two records from a Moonwalker session. One action the policy allowed, one it refused. The allowed record is real. The refused one is shown against a sample path. Both were written the same way.

● Allowed · recorded
action
web_fetch
target
https://moonwalkercorp.com
capability
read
scope
single target
reversible
trivially
credentials
none touched
risk
0 · green
friction
audit only
audit id
5fd643f9-35b9-4227-b55b-053d1a6dafa9
Routine actions flow. The score and the record are written whether or not anyone is watching.
● Refused · recorded
action
read
target
C:\Payroll\2026\direct-deposit.csv
policy
path is denied by security policy
result
nothing returned to the agent
recorded
the request, the rule, the refusal
A payroll file the agent was never given. The refusal is part of the record, so the attempt is visible afterward.

Allowed or refused, read or write, every call is recorded the same way. Whether a step outside its permissions is refused, flagged, or only logged is a setting you control.

How it works

Nothing to migrate. Nothing leaves.

01 / Runs where you are

One process wherever the agent works

A desktop, a phone, a laptop, inside your app, in your cloud, on a disconnected network, in a robot. Anywhere a server can exist. No kernel module. No rewrite of the agent. It sits between the agent and the machine.

02 / Plugs into the agents you have

The open tool protocol they already speak

Your agents connect to Moonwalker and get files, shell, browser, desktop, scheduled jobs, and worker agents through it. Bring your own model, or one we build for you. The plane attaches none of its own.

03 / Writes to storage you chose

The record lands on your side, never ours

Write-once storage you picked. Opening it takes a person you designated, and the opening is itself recorded. We see none of it.

What Moonwalker governs

One authority plane for the messy places agents actually work.

Governance that stops at the model boundary governs nothing. Moonwalker sits where autonomous work becomes real: local machines, project vaults, browser sessions, worker agents, scheduled jobs, and the evidence they leave behind.

Local workspace

Files, shells, browsers, and desktop

Read and write access, shell execution, code workers, and browser sessions, each bound to an explicit scope, a backup posture, and policy the customer owns. Governed database access runs on the same contract, scope and evidence over the query, with the data never leaving your systems.

Agent operations

Workers, packets, jobs, and closeouts

Long-running autonomous work becomes reviewable: a task packet, a bounded dispatch, a required artifact, run history, review, and a closeout that says what actually happened.

Human authority

Risk friction where it matters

Routine actions flow without ceremony. Consequential, credential-bearing, outward-facing, or hard-to-reverse actions meet warning, attestation, approval, or a hard stop.

Evidence layer

A flight recorder for autonomous action

Because instructions, task context, and available evidence all cross the control plane, the record preserves what the agent was told and what it knew at the moment it acted, context that otherwise vanishes the instant the action completes.

Built on the plane

Products that share one authority and one record.

The plane is the foundation. Each product on it uses the same authority checks and writes to the same record, under plain names.

Browser and web

Moonwalker Governed Browser

A governed browser kept on your machine. Several agents can drive it at once, each identifiable in the record, and one latch stops every agent's work at once.

Record and reconstruction

Moonwalker Evidence Recorder

Every call written outside the agent, hash-chained, on your storage under your keys, and rebuilt afterward in order, by agent and by authority.

Agent

Moonwalker Agent Harness

Bring your own agent or use ours. Every call it makes goes through the plane, so approvals, takeover, policy and the record come with it.

Stop and roll back

Moonwalker Recovery

Stop an agent, seize its work and roll back its changes, from a phone if need be. Changes are backed up before they happen.

Memory

Moonwalker Agent Memory

Memory with retention, purge, key control and legal hold, so an agent remembers what you allow and forgets what it must.

Secrets

Moonwalker Credential Broker

Agents use credentials by reference, without ever holding them, and every use is attributed in the record.

Operations

Moonwalker Command Center

Every agent's work, its authority and its record in one view, with voice control under the same authority.

Evidence capture

Moonwalker Sealed Capture

A governed web crawl that captures every page it visits into the record, so what an agent read becomes evidence.

Risk

Moonwalker Risk Score

A per-action risk read taken before the action runs, kept in the record, and ready to share with an underwriter. Insurability →

Missions

Mission software, built to order.

We build for the mission in the buyer's words. Each build can run on the governance plane, with the same authority checks and the same record a reviewer can open later.

M-01

Space intelligence

Sensor and commercial data turned into checkable assessments of objects and events in orbit. Every output carries its likelihood, confidence, evidence and marking.

Built to order · sensor and commercial data in · assessed events out
M-02

Decision management

An acquisition decision run as a governed program that stays current. Agents draft, code computes, and a person signs.

Built to order · agents draft · code computes · a person signs
M-03

Technical data and sustainment

Technical manuals and legacy documents read in place, with every passage and every generated model element traceable to its source.

Built to order · documents read in place · every passage traced
M-04

Debrief and re-planning

Evidence-based debrief that keeps uncertainty attached. Recommendations stay proposed until a person approves them.

Built to order · evidence in · proposals held for a person
M-05

Cyber ranges and governed red team

Governed offensive-security and research tooling, built to order. It runs through the control plane like any other agent, with a sealed record of everything it did.

Built to order · runs through the control plane · sealed record
M-06

Regulated enterprise

Agents on real systems under your own rules, with a record your auditors, regulators and insurers can read on your terms.

Built to order · your rules · a record on your terms
Development

Design and custom build, with or without the plane.

We build the AI software your mission needs, from the agent harness to the command line to the cloud it runs in. We design around the governance plane because it works. Every build can run on it. Not every build has to.

01 / Agents and tooling

Agent software and harnesses

  • Custom agentic solutions for enterprise and government
  • Custom agent harness design, with the runtime, tool surface, approvals and record built around your own agents
  • Command-line tools and developer tooling for agents
  • Model Context Protocol servers, built to order
  • Multi-agent coordination and Model Context Protocol connectors
02 / Mission and models

Mission software, cloud and models

  • Command, control and communications (C3) software
  • Agentic solutions built on AWS, Google Cloud and Microsoft Azure, in commercial and government environments
  • Private models trained and served on NVIDIA hardware, on premises or at the edge
  • Mission builds from space intelligence to governed red team, listed under Missions
  • Red teaming for AI systems and the software around them. With your written permission, we attack your agents, models and code the way an adversary would, and hand you what we found and how to fix it.
03 / Design and engineering

Design, SETA and delivery

  • Discovery, requirements and AI systems architecture, with or without the build
  • Systems engineering and technical assistance (SETA)
  • The governance plane, offered with every build and never required

Agent and evaluation harnesses with fixed inputs and pinned configurations, memory for agents, and deployment with train-the-trainer support. Model Context Protocol connectors are built and priced per connector.

Private AI

Private AI models on your own hardware.

Models trained from scratch on your data, air-gapped, with weights you hold. Bounded helpers. Digital twins built to order.

Your models can work under the governance plane like any other agent, so what they do is checked and recorded on your side.

  • Language models built from scratch on your own data, air-gapped, weights you own
  • Training that learns from machine-checked results alone; the model never grades itself
  • Task-specific helpers built on site for isolated networks, proven against a locked test before use
  • Leak-checked evaluation, test rules written before the run
  • Digital twins, built to order
Where we build

Built where you run.

We build on AWS, Google Cloud, Microsoft Azure and NVIDIA platforms, and we deploy to the environment your mission already runs in, from a commercial cloud region to an air-gapped enclave.

Cloud · commercial and government

Amazon Web Services (AWS)

We build with Amazon Bedrock, Amazon Bedrock AgentCore, Strands Agents and Amazon SageMaker AI.

Agentic solutions built on AWS, delivered to your own account in commercial regions or AWS GovCloud (US).

Cloud · commercial and government

Google Cloud

We build with Gemini Enterprise Agent Platform (formerly Vertex AI), the Agent Development Kit (ADK) and Gemini models.

Agents delivered to your own Google Cloud project, with Assured Workloads, or to Google Distributed Cloud air-gapped.

Cloud · commercial and government

Microsoft Azure

We build with Microsoft Foundry, Foundry Agent Service, Azure OpenAI in Foundry Models and Microsoft Agent Framework.

Agents delivered to your own Microsoft Azure or Azure Government subscription.

Accelerated computing

NVIDIA

We build with NVIDIA NIM, NVIDIA NeMo, NVIDIA NeMo Guardrails, NVIDIA Nemotron and NVIDIA CUDA.

Private models trained on NVIDIA DGX systems and served on premises or at the edge on NVIDIA Jetson, with NVIDIA AI Enterprise.

On premises

Your own hardware

Air-gapped enclaves, Windows and Linux servers and workstations, and systems at the edge.

The governance plane installs inside your boundary, on machines you control, and so can anything we build.

Models

The model you choose

Works with Claude from Anthropic, OpenAI models, Gemini models, open-weight models and private models we build for you.

The plane attaches no model of its own. You pay your model provider directly.

Product names are trademarks of their respective owners.

Research

What AI software will need next.

Moonwalker builds AI-driven software today. Our research asks what that software will need next. These are the questions we are working on, and we want to work on them with others.

R-01

Synthetic minds and persistent-state cognition

The model is not the mind. It is an engine that steps into a continuing system, does its work there, and leaves. We study what that system has to keep, change and let go of so that one model, or the next, can inhabit the same continuing mind, and so that what the system lives through actually changes it.

R-02

Judging the judges

More and more AI work is checked by another AI model. We study how far that check can be trusted. That means how steady a judge's verdicts are when nothing about the question has changed, whether its behavior drifts over time, and which mistakes a judge catches, misses or imagines.

R-03

Memory across the seam

Long-running agents compact their own working context to keep going, and the summary they write becomes their memory. We study what an agent keeps, loses and wrongly trusts across that seam.

Work with us. We welcome researchers, laboratories and program offices who want to take on any of these questions with us. Write to contact@moonwalkercorp.com.

Proof

Demonstrated capability, live or by recorded walkthrough on request.

01 / Live governance

Normal work executing through the control plane, with the audit record populating in real time.

02 / Boundary enforcement

An action outside its permissions denied at the boundary, with the denial recorded and risk scored.

03 / Governed offensive work

Offensive security and research tooling run through the control plane like any other agent, with a sealed record of everything it did, proven live against the company's own boundary from a separate attack system.

Request a demonstration

What sets the plane apart

Ask any vendor four questions.

Plenty of tools now stop an agent before it acts. Enforcement is table stakes. Custody is not.

Q1

Where does the evidence live?

On your infrastructure. Never on ours. There is no Moonwalker cloud for it to reach.

Q2

Who holds the key?

You. The record sits on storage you chose. We run no cloud of our own and hold no customer data, so there is nothing on our side to hand over, sell, or be compelled to produce.

Q3

Does it survive an agent that lies, on a machine you do not trust?

Yes. Policy is checked at the surface where the action executes, not at a gateway the agent can route around.

Q4

Is the vendor's own model attached?

No. The plane attaches no model of its own, so it never grades the mind it governs. A private model we build for you is yours, weights included.

Security

Built for the bar you’ll be held to.

Tamper-evident by design. Hash-chained entries, signed checkpoints, and anchors to a witness outside the machine, so no gap is ever quiet.

Crypto posture

SHA-384 chain digests and AES-256-GCM at rest, both on the CNSA 2.0 list, with no MD5, BLAKE, or legacy ciphers anywhere in the sealed path. Signatures are ECDSA P-384, and the signature lane is swappable, so the CNSA 2.0 signature algorithms are a module change rather than a format migration. Where FIPS 140-3 is required, the signing seam points at a validated module the host already carries.

Deployment

Inside your boundary, under your authorization.

  • Zero trust applied to the AI itself.Network and identity zero trust stop at the login. Moonwalker keeps checking after it, on every action the agent takes.
  • Enforcement where the action happens.An agent cannot route around a control that lives at the surface it touches.
  • Data sovereignty.The record is written to storage you select under keys you hold, inside your own boundary, so neither an agent nor the vendor can open it.
  • Lab neutral.No model of our own attached to the plane, no data brokered, no share of model usage. You pick the AI you trust, including a private model we build for you, with weights you own.
  • No authorization of its own to wait for.The software runs inside your boundary under your authorization and inherits the enclave's impact level. Software bill of materials, hardening guide and control responsibility matrix ship with the license.
  • Fail closed.When the platform cannot record an action, the action does not run quietly.
  • Where it runs.Windows, Linux and WSL, air-gapped or connected. Integration by the Model Context Protocol.
  • How the plane is licensed.Commercial term license, no metering, no SaaS dependency. Custom builds are scoped with you. You pay your model provider directly, and Moonwalker takes no share.
Who it is for

Teams that need AI software built, and teams already running agents whose controls describe agent activity and do not constrain it.

Regulated enterprises, government, and high-assurance operators. For the agents they run, the question we sell against is simple.

When one of your agents does something you did not intend, what do you have, and who else can read it, alter it, or be compelled to produce it?
Where this is going

The rules are already written. We built for all of them.

Every serious regime now asks the same thing of an AI agent. Log what it did, keep the log, let a human step in, and be able to show it afterward. None of them say who should hold that record. We say you do.

Europe

EU AI Act

Automatic event logging, layered human oversight, and a retention floor for high-risk systems. The record stays on your infrastructure, so the governance layer adds no cross-border transfer of its own.

United States

OMB M-25-21 and M-25-22, NIST AI RMF, DoD traceable and governable

Continuous monitoring of high-impact AI for federal agencies, and logging and traceability named as core controls in every voluntary framework.

Asia Pacific and beyond

Singapore, South Korea, ISO 42001

Unique agent identities, a log of every agent action, human override, and a person's right to demand human re-processing of an automated decision. None of it is enforceable without a record of what was automated.

If governed autonomy is a problem you have, or your mission needs AI software built, let's talk.

If you are getting ready for where AI governance is going, let's have a conversation. We built for the whole world's rules before most of them were enforced. This is where everything is headed, and we've got your back.

Start the conversation
Why the record matters

A logbook you can write a policy against.

A normal audit log is testimony, and nobody can insure testimony. Moonwalker takes a risk read before each action runs and keeps it in the record. The score is computed where the evidence lives, so it can go to an underwriter while the record stays home.

How the record becomes insurable

actionweb_fetch
reversibletrivially
credentialsnone touched
risk0 · green
frictionaudit only
How to buy

Direct award, OT or sub. Start with one build or one workflow.

Moonwalker Inc. is an SBA-certified Service-Disabled Veteran-Owned Small Business. Moonwalker meets 10 U.S.C. 4022(d) as a nontraditional defense contractor, with no cost share.

Contractor dataSAM Active · All Awards
Legal name
Moonwalker Inc.Mississippi corporation
Small business
SBA VetCert certified Service-Disabled Veteran-Owned Small BusinessSDVOSB · VOSB
UEI
W5TVGMMNGWU3SAM Active, All Awards
CAGE
23QR6Section 889 represented
NAICS
513210 (primary) · 541512 · 541519 · 541715
PSC
7J20 · DJ10 · DA10Software, IT and AI services
OT
Nontraditional defense contractorNo cost share on a prototype OT
Access
Direct award, OT, subSupported 90-day evaluation under micro-purchase
Location
Biloxi, Mississippi
Contact
contact@moonwalkercorp.com769-208-3928
Evaluate

Supported 90-day evaluation

Supported 90-day evaluation under micro-purchase. One real workflow, one group, one environment, on your hardware, with your storage and your keys.

License

Term license, per environment

Commercial term license, no metering, no SaaS dependency. Software bill of materials, hardening guide and control responsibility matrix ship with the license.

Design

Design and SETA

Discovery, requirements and AI systems architecture, with or without the build. Systems engineering and technical assistance (SETA).

Build

Custom builds

Command, control and communications (C3) software, custom agentic solutions, governed offensive-security and research tooling, and digital twins, built to order.

  1. Start with one build or one workflow.Scope one mission build with us. Or pick one real workflow and one group, install in one environment, choose the storage and the keys, and run the work through the plane.
  2. Bring more agents onto the plane, as you choose.Move them onto shared policy profiles owned by named people. Decide where approval belongs.
  3. Price and widen.Share risk scores with an underwriter or an authorizing official. Add environments, builds and products where they help.

Moonwalker Inc. is a Mississippi corporation wholly owned by a United States citizen. Moonwalker does not use and does not provide covered telecommunications equipment or services, and its active SAM registration carries the Section 889 representation under FAR 52.204-26.

Get in touch

Tell us what you need built.

Custom AI software, agent harnesses, command-line tools, agentic solutions built on AWS, Google Cloud and Microsoft Azure, private AI models, and the governance plane they can run on. Describe the mission and we will scope the build with you.

What do you need?