AI your team can use on controlled information, inside your own boundary.
We build private AI for government contractors that runs on hardware in your space or in a cloud account you control, so proposal work and contract questions happen without CUI leaving the boundary you already drew. We document how it is set up in a form your assessor can use, and we put AI staff on the recurring portal filings.
What we hear from government contractors
We told everyone not to use AI because we could not answer where the data goes.
Proposal week is four people rereading last year's proposals.
Every month somebody sits in a portal filing the same reports.
The work we take off your team's desk first.
Each of these is a service we build on systems you control, test on your own data, and look after. A person stays in charge of every decision that matters.
- 01Private AI
AI inside the CUI boundary
An open model running on hardware in your space, or in a cloud account you control, that reads your proposal library, contracts and past performance and answers in plain words. It can run with no outbound internet at all. Your staff get the AI they have been asking for, and controlled information stays inside the boundary you already drew.
Private AI
- 02AI readiness and policy
Documentation your assessor can use
We write up how the AI is set up: an architecture drawing, where data flows, who can reach the system, what is logged and how updates happen. Your security lead can put it straight into your system security plan and hand it to your assessor. We also write the AI use policy that tells staff which tools may touch CUI.
AI strategy and leadership
- 03AI staff
Recurring portal filings
Invoices in the payment portal, registration renewals, subcontracting reports and supplier performance data. The same fields on a schedule, each ending in a confirmation that has to be saved where an auditor can find it. The agent does the filing and a person approves anything that submits money.
AI that does the work
Controlled unclassified information stays on your side of the boundary.
Most contractors have banned consumer AI tools because nobody could say where the data goes. A private model answers that question directly. It runs on hardware in your space, on your network, inside the boundary you have already drawn, and it is one more asset on your inventory rather than a new external service provider.
It can run with no outbound internet. Updates become a deliberate step on a schedule your security lead controls, and support access exists only if you choose to grant it.
CMMC and NIST SP 800-171 are assessments of your organization, and the assessment stays with you and your assessor. Our part is to build the AI inside your boundary and hand you clear documentation of it (architecture, data flows, access and logging) that your security lead can use in your system security plan.
Other work we build for government contractors.
Once the first job is running, these are the next ones worth handing over. Each links to the service that does it.
Proposal assembly from your own library
Past performance write ups, resumes and compliance matrices pulled out of previous proposals and shaped against a new solicitation, on a model that can read the whole library at once.
Contract and timekeeping data between systems
Numbers carried between Unanet or Costpoint, a spreadsheet and a customer portal at month end, done by an agent with every step logged.
Internal tools and connectors you own
Small internal apps and MCP connectors between your own systems, built for you and handed over with the code.
A technology lead on your side
A part time lead who reviews vendors, records decisions and keeps the AI work tied to your security plan and your contracts.
The services that do the most for government contractors.
Ranked by how much of the day each one gives back, with the reason beside it. The free AI review ends with a written page that puts your own firm in this order.
- 01
Private AI
Private AI
The AI your staff already want, on hardware inside your own boundary.
- 02
AI readiness and policy
AI strategy and leadership
An AI use policy and the documentation your assessor will ask for.
- 03
AI staff
AI that does the work
The recurring portal filings, which are the same fields on the same schedule.
- 04
Fractional AI and technology lead
AI strategy and leadership
A technology lead who keeps AI decisions tied to your security plan.
- 05
AI integrations and custom software
AI that does the work
Internal tools and connectors, built and owned by you.
The engine under the AI staff is ours.
Most firms selling AI to an office resell somebody else's tool. Our engineering team writes and ships its own, and the agent that would work your screens runs on it.
DeskVNC
In active developmentRemote desktop access and tools that let AI agents see and operate computers, with permission and human takeover.
- Remote desktop connections
- MCP tools for viewing and input
- Human takeover controls
Computer control connected to an AI workflow
psmux
A native Windows terminal multiplexer for persistent sessions and coding agents.
- Native Windows terminal sessions
- Panes and layouts
- Detach and reattach workflows
Engineering tools built around how developers work
What government contractors ask us first.
- Does this make us CMMC compliant?
- Compliance is assessed on your organization and the practices you run. What we deliver is architectural and documented: the model runs on hardware in your space, controlled unclassified information is not sent to an outside service, and you get a written description of the setup for your system security plan and your assessor.
- Can it run in an environment with no outbound internet?
- Yes. The models are open and run locally, so a machine that never reaches the internet still answers questions and reads your documents. Updates happen on a schedule you control.
- Who has access to the machine after it is installed?
- Whoever you say. Support is optional, and if you take it you decide whether remote access exists at all. Many installs are handed over with no standing access.
- Does the agent work in a portal that requires a smart card?
- We look at each authentication flow during scoping. Some run as they are, and some need a person to sign in at the start of the session before the agent takes over. You know which is which before anything is built.
Start with a free AI review.
Thirty minutes with the engineers who would build it. Bring the job your team most wants off its desk, and you leave with a written page you keep: what we would build first, which systems it touches, and where your data stays.