DoD Manufacturer
A Tier 2 defense electronics manufacturer needed AI that never leaves its security boundary. It now runs invoices, clear-to-build, and drawing decoding on one private platform it owns.
Defense and medical device manufacturers, industrial suppliers, energy contractors, and service businesses use nBrain to put AI to work on their own data, inside their own environment, with a person approving every step that matters. Here is what they built and what changed.
The Decoder Ring. How a Tier 2 defense manufacturer put AI to work across the company in six months.
What a private AI Brain has done for nBrain customers.
Customers are described by industry to protect their confidentiality. Client names available upon request.
A defense manufacturer, a medical device maker, an industrial supplier, an oilfield contractor, a staffing software company, and our own firm. Each Brain is built on one company's data, rules, and people, and each story says what was built, what changed, and what is still in progress.
A Tier 2 defense electronics manufacturer needed AI that never leaves its security boundary. It now runs invoices, clear-to-build, and drawing decoding on one private platform it owns.
A medical device manufacturer's small R&D team wrote every FDA design-control file by hand. Its Brain is being built to draft each stage from the company's own templates, inside its own Microsoft cloud.
A founder-led specialty chemicals manufacturer and distributor wrote its own use cases with acceptance criteria. All four went live on real data, then its own team took the platform over.
An owner-led oilfield services contractor had years of field, safety, and project data in separate systems. Its Brain connects them, and estimators now review AI-drafted unit-price bids.
A technology company that implements and supports the software staffing firms run on connected its CRM, projects, email, files, and calls. Signed deals now become live projects without re-keying.
nBrain is a professional services firm too, and our own first customer. Agents recap calls, track every commitment, draft proposals, and report to clients without being asked.
Customers are described by industry to protect their confidentiality. Client names available upon request. Status reflects the most recent engagement record.
Finance, the factory floor, and engineering, inside one of the most security-restricted industries there is. Here is what it took from both sides of the table.
An owner-led manufacturer went from a first conversation to a private Brain in use across the company in five months. It runs in the company's own cloud, connects the systems the business already runs on, and every team reaches it through the tools they already use.
A customer film, and three short looks at the Brain nBrain runs its own company on.
It pulls call transcripts, emails, and CRM history, drafts the proposal, and leaves it in drafts for review.
The agent reads the CRM record, the transcripts, and the brand guide, then writes every page for a person to review.
Twelve departments, one platform.
We don't count features shipped. We take a baseline with your team in month one, agree on the measures that matter to the business, and review them with the owner every month.
We sit with the people who do the work and time it: how long each task takes today, how often it's redone, and where it waits.
Each workflow gets a written definition of done and the one or two numbers that prove it worked.
Results reviewed line by line with your owner, next to usage by team and cost by model.
The next workflow is chosen on the numbers, and reuses the data and permissions already built.
We went back through more than 32,000 of our own client emails, meetings, and messages. Every engagement that succeeded had these four things in place at kickoff.
One person on your side with the time and authority to make calls, ideally full time on the build.
A few hours a week from the operators whose work will change, at their desks, on the calls.
The data and tools in scope, granted early, with security rules set by your leadership.
Use cases with acceptance criteria, so everyone knows when a module is finished.
In one strategy session we map where a Brain would return the most time, what we'd build first, and how we'd measure it from month one.
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