Defense manufacturers · Government contractors · Agencies

Private AI built for ITAR, CUI, and CMMC. Inside your assessed boundary, or fully air-gapped with the internet unplugged.

nBrain builds one private AI Brain around your contracts, technical data, and quality records. Only the authorized US persons you designate can reach controlled data, nothing is sent to public model vendors, and it runs in your GovCloud or Azure Government tenant, your own data center, or a network with no internet connection at all.

ITAR data stays on US soil, shown only to authorized US persons Designed to support CMMC Level 2 and NIST SP 800-171 Air-gapped deployment available, scoped per program
YOUR BOUNDARY · GOVCLOUD, ON-PREM, OR AIR-GAPPEDYOUR CONTROLLED DATATEAMS IT SERVESTechnical dataDrawings & specsContracts & modsQuality recordsSSP & POA&MEmail & TeamsEngineeringContractsProposalsQualitySecurity & ITProgram mgmtNBRAINYour PrivateBrainUS personsApprovalsAudit trailGPT-6 AstraClaude Opus 5.5Gemini 4 ArgonOpen-weightGOV-CLOUD ENDPOINTS, WHERE APPROVEDLOCAL · AIR-GAPPEDMODELS IT ROUTES TO, TASK BY TASKYOUR ASSESSED BOUNDARYYOUR CONTROLLED DATADrawingsContractsTech dataNBRAINYour PrivateBrainUS personsApprovalsAudit trailEngineeringProposalsQualityTEAMS IT SERVESMODELS IT ROUTES TO, TASK BY TASKGPT-6 AstraClaude Opus 5.5Gemini 4 ArgonOpen-weightGOV-CLOUD ENDPOINTS, WHERE APPROVEDOPEN-WEIGHT RUNS LOCAL · AIR-GAPPED

The same platform is already running real work for nBrain clients, including a Tier 2 defense manufacturer.

92%
less sales-team time on RFQs at Regal Technology Partners, a Tier 2 defense manufacturer
5 months
from first idea to a Brain built and launched across a 200-person manufacturer
65%
lower cost per AI task through model routing
33.5%
average increase in employee productivity within six months

Regal Technology Partners has shared its story publicly. Other results are anonymized to protect client confidentiality. Read the customer stories

Compliance, framework by framework

What each rule requires, and how the Brain meets it.

Written for the CEO, compliance officer, or ISSO who has to sign off. nBrain supports your compliance program. It doesn't replace it, and it doesn't ask you to widen the boundary you've already built.

Framework
What it requires
How nBrain handles it
ITAR and EAR export controls22 CFR 120–130 · 15 CFR 730–774
Technical data for defense articles, and controlled dual-use technology, can only be accessed by authorized US persons unless you hold a license. Giving a foreign person access, including through a cloud provider or a support desk, can count as an export.
  • Hosted only in the US: your GovCloud or Azure Government tenant, your data center, or an air-gapped network.
  • Controlled documents are shown only to users your system marks as authorized US persons, checked on every request.
  • nBrain staff reach your environment only through accounts you issue.
  • No technical data goes to public model vendors. Models run in your boundary or through government-cloud endpoints you approve.
DFARS 252.204-7012 and NIST SP 800-171CUI · 110 security requirements
Covered defense information has to be protected with the 110 requirements in NIST SP 800-171, cyber incidents reported to DoD within 72 hours, and the clause flowed down to subcontractors who handle CUI.
  • The Brain runs on infrastructure you already protect, so it inherits your access, audit, encryption, and boundary controls.
  • We map its components to the 800-171 control families and hand you the write-up for your SSP.
  • Logs stream to your SIEM, so the Brain is part of your 72-hour incident reporting, not a blind spot.
CMMC 2.0 Level 2Assessment of the 800-171 practices
Contractors handling CUI must show the 110 practices are in place, in most cases through a third-party C3PAO assessment every three years, with annual affirmations in between.
  • Designed to support Level 2 practices, running inside the environment you already control.
  • Architecture, data-flow diagrams, and control descriptions ready for your assessor.
FedRAMP Moderate and HighCloud services for government data
Cloud services that hold federal data must be FedRAMP authorized, and cloud services that hold covered defense information must meet the FedRAMP Moderate baseline or its equivalent.
  • Deploys inside your AWS GovCloud (US) or Azure Government tenant, both of which carry FedRAMP High authorizations.
  • Frontier models are used only through endpoints in that government cloud that your authorization covers.
  • nBrain isn't a separate SaaS your data has to travel to. There is no nBrain-hosted copy.
DoD Impact Levels 4 and 5DoD Cloud Computing SRG
DoD programs that put CUI, or higher-sensitivity CUI and mission data, in the cloud need an environment with a DoD provisional authorization at IL4 or IL5.
  • Where your program already has an IL4 or IL5 environment, the Brain deploys inside it and stays within its authorization boundary.
  • Where it doesn't, on-prem or air-gapped deployment keeps the data on hardware you control.
SPRS scoreDFARS 252.204-7019 / 7020
Your NIST SP 800-171 assessment score, out of 110, is posted in SPRS and checked by contracting officers before award. Anything that opens a gap in your controls can cost points.
  • You add the Brain to your SSP and system inventory like any new application.
What we do and don't claim. nBrain doesn't hold a FedRAMP authorization, a CMMC certification, or a DoD Impact Level authorization, and there is no such thing as an ITAR certification. ITAR is a regulation you comply with. The Brain is built for ITAR-controlled environments and deploys inside a boundary you have already authorized and assessed, so it sits within your existing controls. We document the architecture, data flows, and control mapping your empowered official, ISSO, and assessor will ask for.
Already running in defense manufacturing. A Tier 2 defense manufacturer runs finance, the factory floor, and engineering on one private Brain, inside a security-restricted industry. Read the story →
Deployment options

Unplug it from the internet, if your program calls for it.

Match the deployment to the data. Most contractors run in a government cloud tenant. Programs with the most sensitive technical data run on-prem or fully disconnected. The Brain, its controls, and its audit trail are the same in all three.

Option 01 · Government cloud

Your GovCloud or Azure Government tenant

The Brain runs in a US-only cloud region you already operate, under your accounts, your keys, and your authorization.

Models
GPT-6 Astra, Claude Opus 5.5, or Gemini 4 Argon through government-cloud endpoints your authorization covers, plus open-weight models in your tenant.
Internet
Inside your VPC or VNet. Outbound only to the endpoints you approve.
Updates
Released through your change-control process.
Option 02 · On-premises

Your data center, your hardware

Installed on servers and GPUs you own, behind your firewall, and managed under the controls you already run on-site.

Models
Open-weight models on your GPUs. Hosted frontier models only if you approve a government-cloud connection.
Internet
Not required for daily use. Any outbound path is yours to allow or block.
Updates
Released through your change-control process.
Option 03 · Fully air-gapped

Disconnected, with no outbound internet

A network with no route to the internet. Nothing calls home, nothing phones a vendor, and nothing leaves.

Models
Open-weight models such as Llama, Mistral, or Qwen, running locally on your own GPUs.
Internet
None.
Updates
Scoped per program, with your team approving every update before install.
The trade-off, stated plainly

GPT-6 Astra, Claude Opus 5.5, and Gemini 4 Argon are hosted services, so they can't run on a network with no internet. An air-gapped Brain uses open-weight models on your own hardware instead. Those models handle search, cited answers, summaries, extraction, and first drafts well. On the hardest multi-step reasoning they can trail the frontier models, so before go-live we test them on your own documents and show you where the difference matters. Hardware is sized to your users and the models you choose.

The same controls in every deployment
Access

US-person status and need-to-know

Roles come from your identity provider, including the US-person attribute your security team maintains. Controlled data is never served to a user without it.

Markings

CUI marking-aware handling

Can be built to read banner and portion markings and export-control legends, carry them onto outputs, and flag unmarked content that looks controlled for a person to review.

Approvals

Approval gates

Anything that leaves the boundary, goes to a customer or supplier, or changes a record waits for a named person to approve it.

Audit

A full audit trail

Every prompt, source, model, user, and action, written to logs in your environment and your SIEM, ready for your ISSO or assessor.

Guide · Private AI for the defense industrial base

Put AI to work on controlled technical data, without losing control of it.

How defense manufacturers and contractors can use AI inside CUI, ITAR, and CMMC requirements: where it runs, who can see what, what changes when it's air-gapped, and which workflows to start with.

Read the guide For all regulated industries
Cover of the guide Private AI for the defense industrial base: a machined part on an engineering drawing beside a closed server cabinet
Use cases by team

Built for the work contractors and defense manufacturers actually do.

Each team starts with one costly, everyday job. The Brain does the searching, matching, and first drafts on controlled data, inside your boundary. Your people make the calls.

AI for proposals and RFP responses

Answer the RFP faster, without moving CUI out of bounds.

The Brain reads the solicitation, builds the compliance matrix, and drafts the response from your past performance, resumes, and approved boilerplate. Source material marked CUI or export-controlled stays inside your boundary and is only used for people cleared to see it.

  • Compliance matrix in minutesEvery "shall" and "must" in Sections L and M pulled out and mapped to a response section.
  • Drafts from your own recordPast performance and approved language reused, with every claim traceable to a source.
  • Markings carried throughCUI and distribution markings on source material can be carried onto the draft, so reviewers know what they're handling.
Your proposal team owns the response. The Brain drafts and checks. Pricing, win themes, and the final submission stay with your capture and proposal leads.
Talk through a proposal workflow →
Example screen: a solicitation with Section L and M requirements highlighted, a compliance matrix with owners and status, and a CUI-marked draft response.
AI for contract compliance

Know which clauses apply, and what flows down to every supplier.

The Brain reads your prime contracts, modifications, and purchase orders, tracks the FAR and DFARS clauses in each, and checks that the right ones flow down to every subcontractor, including 252.204-7012 and the export-control clauses.

  • Clause and flowdown trackingWhich clauses apply, which flow to which subcontractors, and what each one requires.
  • Invoices verified before paymentEvery invoice checked against the contract and receiving records, with exceptions held for a person to approve.
  • Deliverables and CDRLsContract data requirements and due dates tracked, with drafts started before they're due.
Read the defense industrial base guide →
Example screen: a contract modification, a clause flowdown table showing DFARS 252.204-7012 flowed down to three suppliers and missing for one, and an invoice check.
AI for engineering and technical data

Ask the drawings and specs a question. Only cleared engineers get the answer.

Engineers ask in plain English and get answers drawn from drawings, specifications, work instructions, test reports, and engineering change history, with a link to the exact document and revision. Technical data under ITAR or the EAR is only searched and shown for users your system marks as authorized US persons.

  • Cited to the revisionEvery answer shows the document, revision, and section, and says so when it can't find support.
  • Export-control awareDocuments carrying ITAR or EAR legends are filtered by user on every request, not by folder alone.
  • Engineering knowledge that staysDecades of change orders, nonconformances, and lessons learned searchable before the people who wrote them retire.
Talk through an engineering workflow →
Example chat: an engineer asks for a rev C torque spec; the answer cites the drawing and note, with ITAR and pending-ECO flags.
AI for supplier and quality documentation

Check every cert and first article before it holds up a shipment.

The Brain reads certificates of conformance, material certs, first article inspection reports, and supplier corrective actions, compares them against the PO, drawing, and spec, and flags what's missing or out of tolerance for your quality engineer to disposition.

  • Certs checked against requirementsMaterial, process, and special-process certs matched to the PO, drawing, and spec.
  • First article packages startedAS9102 forms drafted from your drawings and inspection data, finished by your inspectors.
  • Supplier history in one viewCorrective actions, escapes, and scorecards pulled together before every supplier review.
Disposition stays human. The Brain flags and drafts. Acceptance, MRB decisions, and sign-offs stay with your quality team.
Talk through a quality workflow →
Example receiving-inspection queue: a material cert checked against the PO and drawing, two lines passing and one held for a heat-lot mismatch.
AI for CMMC and NIST SP 800-171 upkeep

Keep the SSP and POA&M current, with the evidence attached.

Assessment prep is mostly collecting evidence and keeping documents current. The Brain maps your policies, configurations, and logs to the 110 NIST SP 800-171 requirements, drafts SSP updates when something changes, and tracks every POA&M item to closure, for your ISSO to review and sign.

  • Evidence mapped to each requirementScreenshots, configurations, and policies tied to the requirement they support, with gaps listed.
  • SSP drafts when things changeA new system, user group, or supplier triggers a drafted SSP update instead of a scramble before assessment.
  • POA&M tracked to closureOwners, due dates, and closure evidence for every open item.
Your assessor scores, not the Brain. It organizes evidence and drafts documentation. Your ISSO approves it, and your C3PAO makes the call.
Talk through CMMC readiness →
Example tracker: 14 NIST SP 800-171 control families with completion bars, requirement 3.1.1 with evidence files and a drafted SSP paragraph, and open POA&M items.
AI for program management

Program reviews built from the data, not a week of status calls.

The Brain pulls schedule, cost, quality, and supplier data from your ERP, MES, and project systems and drafts monthly program reports, customer status updates, and review decks for the program manager to finish.

  • Reporting in hours, not daysThe Brain drafts from live program data, so your team reviews a report instead of assembling one.
  • Variances explainedSchedule and cost variances flagged with the likely cause and the records behind it.
  • Reviewed before it goes outNothing goes to a customer or contracting officer until the program manager approves it.
Talk through a reporting workflow →
Example drafted program status report with schedule and cost variance tables, a late supplier delivery flagged with its PO, source chips, and an approve button.
For agencies: policy and regulation

Answer policy questions with the citation attached.

Staff ask in plain English and get an answer drawn from your statutes, regulations, directives, guidance memos, and prior determinations, with a link to the exact section it came from.

  • Cited answers, not guessesEvery answer shows its sources, and the Brain says so when it can't find support.
  • What changed, and what it affectsNew rules compared against current procedures, with the affected sections listed for review.
  • Institutional knowledge that staysDecades of determinations searchable before the people who wrote them retire.
Talk through a policy workflow →
Example chat: an analyst asks how a travel directive changes per diem approvals; the answer cites three sections and flags one low-confidence item.
For agencies: public records

Find responsive records in hours, with a person on every release.

For FOIA and state public-records requests, the Brain searches email, shared drives, and case systems at once, groups what it finds, and suggests redactions for your records officer to review. Nothing is released without a person signing off.

  • One search across every repositoryEmail, file shares, SharePoint, and case systems, limited to what the requester's scope covers.
  • Suggested redactions, reviewed by staffPersonal information and exempt material flagged with the exemption it may fall under.
  • Retention schedules appliedThe Brain follows your records schedules and legal holds, and logs every search for the file.
Talk through a records workflow →
Example public-records request workspace: 312 candidate records grouped by source and an email preview with suggested redactions labeled by exemption, ready for approval.
How it works

One Brain, built inside your environment, one workflow at a time.

Your systems feed one knowledge layer. The Brain routes each task to the right model and takes action in the tools your staff already use, under the rules you set.

Step 01

Deploy

Stood up in your AWS GovCloud or Azure Government tenant, on your own servers, or on a network with no internet.

  • Your identity provider, roles, and US-person attribute
  • Encryption in transit and at rest
  • Air-gapped deployment, scoped per program
Step 02

Connect

Your document stores, engineering systems, email, and databases, read-only by default.

  • SharePoint, file shares, Microsoft 365 GCC High
  • ERP, MES, PLM, and quality systems
  • Custom and legacy systems by API or export
Step 03

Act, with approval

Agents search, draft, check, and route. A person approves anything that leaves the building.

  • Approval queues by role
  • Citations on every answer
  • Low-confidence answers flagged
Step 04

Measure and expand

We take a baseline in month one, then add the next workflow on the same data and permissions.

  • Hours returned, by team
  • Usage and cost by model
  • Each new workflow reuses the last
Security and compliance

Your boundary. Your rules. A person on the trigger.

The first question a defense CEO or ISSO asks isn't "what can it do?" It's "where does the data go, who can see it, and what happens when it's wrong?" These controls are built in from the first week.

Runs inside your assessed boundary

Deployed in your GovCloud or Azure Government tenant, on-prem, or air-gapped, so CUI and ITAR data stay inside the boundary you already maintain.

US persons and need-to-know, enforced

Role-based access mirrored from your identity provider and source systems, including US-person status, checked on every request.

Approval gates

Anything sent to a customer, supplier, or the public, any payment, and any record change waits in a queue until the right person approves.

A full audit trail

Which data, which model, which person, and which action, recorded every time, ready for your ISSO, C3PAO, or inspector general.

Records rules respected

Prompts, outputs, and logs follow your retention schedules and legal holds, and stay searchable for records requests.

Built for ITAR-controlled environmentsAWS GovCloud (US)Azure GovernmentOn-premises or air-gappedDesigned to support NIST SP 800-171Designed to support CMMC Level 2Data never trains public models

What we do and don't claim. nBrain does not hold a FedRAMP authorization, a CMMC certification, or a DoD Impact Level authorization of its own, and ITAR has no certification to hold. The Brain deploys inside an environment you have already authorized, so it sits within your existing controls and assessment boundary like any other system you run. We document the architecture and controls to support your ATO, CMMC assessment, and export compliance program.

Agents

Agents we build into a defense or government Brain.

Each agent has one job, a defined set of tools, and guardrails on what it can do. They share the same data, US-person permissions, and audit trail, so each new one ships faster than the last.

Proposals

RFP compliance matrix

Pulls every requirement and maps it to a response section.

Contracts

Clause and flowdown checker

Tracks which FAR and DFARS clauses apply and where they flow down.

Engineering

Technical data Q&A

Cited answers from drawings and specs, for authorized US persons only.

Export control

Marking and legend checker

Flags documents that may be ITAR or EAR controlled for your empowered official to review.

Quality

Cert and FAI checker

Matches supplier certs and first articles against the PO and drawing.

CMMC

SSP and POA&M keeper

Maps evidence to 800-171 requirements and drafts SSP updates for your ISSO.

Programs

Program report builder

Drafts monthly program reviews from schedule, cost, and quality data.

Finance

Invoice and payment verifier

Checks invoices against contracts and holds anything suspicious.

Every agent is built for your environment and your rules, not pulled from a shared library. What is a Centralized AI Brain? →

Results in production

Proof from the work, not a demo.

These results come from Brains running for nBrain clients today, starting with a Tier 2 defense manufacturer working inside ITAR and CMMC rules.

Regal Technology Partners, from the film The Decoder Ring
Regal Technology Partners · Tier 2 defense

RFQ responses without the sales team rebuilding every quote.

For contractors: the Brain reads the RFQ, pulls past quotes, costs, and drawings, and drafts the response for a person to price and approve, inside ITAR and CMMC rules.

92%
less sales-team time on RFQs
6 mo
to AI across finance, the floor, and engineering
Read the Regal story →
Timeline of a five-month rollout: discovery in month one, build in months two to four, launch in month five, with an approval checkpoint per stage.
Manufacturing · 200 people

From first idea to a company-wide Brain in five months.

For contractors: one platform launched across operations, finance, and sales, with each team using the same knowledge and the same approval rules.

5 mo
from first idea to a Brain built and launched
200
people on one private platform
Diagram of tasks entering the Brain and routed to GPT-6 Astra, Claude Opus 5.5, Gemini 4 Argon or a private model, with cost per task trending down.
Across our customers

More output per person, at a lower cost per task.

For contractors and agencies: each task goes to the model that fits it, including private models inside your boundary, so routine work stops paying frontier-model prices.

65%
lower cost per AI task through model routing
33.5%
average productivity increase within six months

Regal Technology Partners has shared its story publicly. Other results are anonymized and no result is attributed to a government agency.

Straight answers

The questions defense contractors and agencies ask us first.

Is it ITAR compliant?

There is no ITAR certification for any product to hold. ITAR is a regulation your company complies with, and the Brain is built to support that compliance. It runs only on US infrastructure you control, it shows ITAR-controlled technical data only to users your system marks as authorized US persons, nBrain staff reach it only through accounts you issue, and no technical data is sent to public model vendors. Your empowered official keeps the final say on what is controlled and who may see it.

Can it run with no internet connection at all?

Yes. In a fully air-gapped deployment the Brain runs on your own servers and GPUs on a network with no route to the internet. Models are open-weight models such as Llama, Mistral, or Qwen running locally. How updates reach the network is scoped per program, and your team approves each one before install.

The honest trade-off: GPT-6 Astra, Claude Opus 5.5, and Gemini 4 Argon are hosted services and can't run disconnected. Open-weight models handle search, cited answers, summaries, and drafting well, and can trail on the hardest reasoning, so we test on your documents before go-live and show you where it matters.

Does our data go to OpenAI or Anthropic?

Not to their public services, and never to train their models. Controlled data stays inside your boundary. Where your government cloud offers approved frontier-model endpoints, such as models hosted in your Azure Government or AWS GovCloud tenant, the Brain can use them for the work you allow. For anything you don't want leaving your own hardware, it uses open-weight models running in your environment. You decide which models may see which data, and every call is logged.

Will this affect our CMMC assessment or SPRS score?

The Brain deploys inside your existing environment. You add it to your SSP and system inventory like any new application, and we give you the architecture, data-flow diagrams, and control mapping to NIST SP 800-171 your assessor will ask for. How it affects your assessment is for your assessor and counsel to confirm. nBrain isn't CMMC certified itself.

Who at nBrain can access our data?

Only the nBrain staff you approve can reach your environment, only through accounts you issue inside your boundary, and only for the scope and time you grant. You can revoke that access at any time, and every session is recorded in your audit trail. In an air-gapped deployment, access happens on site or through whatever controlled path you approve. The Brain's data stays in your environment.

Is nBrain FedRAMP authorized or CMMC certified?

No, and we don't need to be for most deployments. nBrain doesn't run your Brain on our servers. We deploy it inside an environment you have already authorized, such as your AWS GovCloud or Azure Government tenant, an IL4 or IL5 environment your program already has, or your own data center. It falls within your existing controls and assessment boundary, and we document the architecture and controls to support your ATO or CMMC assessment.

Can the Brain handle Controlled Unclassified Information?

It is designed to, when it runs inside an environment authorized for CUI. Data stays in your tenant, access follows your roles, CUI markings can be carried onto outputs, model calls go to endpoints inside your boundary or to models hosted in your environment, and every request is logged. Your data never trains public models.

How does it enforce US-person access and need-to-know?

Access mirrors your identity provider and the permissions in each source system, including the US-person attribute your security team maintains. Every request is checked against the user's role, so people only see what they're already allowed to see. Permission changes are logged.

What happens when the AI gets something wrong?

It will sometimes be wrong, so it's built for that. Answers show their sources, low-confidence answers are flagged, and anything that leaves the building, such as a proposal section, a supplier notice, a payment, or a records release, waits for a person to approve it. Every step is logged, so you can see what happened and why.

Which systems can it connect to without a long integration program?

Microsoft 365 and GCC High, SharePoint, file shares, email, ERP, MES, PLM, and quality systems, and databases, through native connectors, APIs, and direct read-only connections. Older systems can be reached through scheduled exports or SFTP. Anything without a connector is built as part of the engagement.

Where should a contractor or agency start?

With one high-volume workflow where people spend time searching and drafting, such as RFP compliance matrices, clause and flowdown checks, supplier cert review, or CMMC evidence upkeep. Agencies often start with policy questions or records requests. We take a baseline in month one and measure hours returned, then add the next workflow on the same foundation.

How does it handle records retention and public-records requests?

Prompts, outputs, and logs are stored in your environment and follow the retention schedules and legal holds you set. For agencies, they are searchable like any other record, so they can be produced in response to a FOIA or state public-records request.

Should we build this in-house instead?

Your team can build a chatbot. Most of the time goes into what sits around it: permission-aware search, model routing, evaluation, approval gates, audit logs, and keeping all of it current as models change. We bring that layer already built. Your IT team stays involved, owns the code and data, and can take it over at any time.

More resources

Go deeper on private AI for defense and government work.

See it on your programs

Put private AI to work on controlled data, inside your own boundary.

In one strategy session we map where a Brain would give your team the most time back, which deployment fits your data, from GovCloud to fully air-gapped, and what your empowered official, ISSO, and assessor will want to see.

Prefer email? hello@nbrain.ai