Customers

Proof, not demos. Owner-led companies running real work on a private AI Brain.

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.

92%
less sales-team time spent on RFQs
DoD Manufacturer · Tier 2 defense
5months
from first idea to a Brain built and launched across a 200-person manufacturer
Manufacturer · name withheld
65%
lower cost per AI task, because the orchestrator sends each task to the right model
Model routing
33.5%
average increase in employee productivity within six months
Across nBrain customers

Customers are described by industry to protect their confidentiality. Client names available upon request.

Customer stories

Six companies, six very different businesses, one platform.

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.

Defense manufacturingIn production

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.

92%less sales-team time spent on RFQs
Read the story →
Medical devicesIn build

Medical Device Manufacturer

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.

8specialist agents, one per stage of the design-control file
Read the story →
Industrials and chemicalsClient-owned

Industrials & Chemical Supplier

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.

Day 78all four use cases live on real data, five days before term end
Read the story →
Oil and gas field servicesIn staff testing

Oil and Gas Company

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.

14business systems connected to one Brain, with access by company and role
Read the story →
Staffing technologyClient-owned

Staffing Software Company

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.

13modules on one platform the company now runs and develops itself
Read the story →
Professional servicesIn production

Professional Services Company

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.

6people, running a firm that operates like one of 50
Read the story →

Customers are described by industry to protect their confidentiality. Client names available upon request. Status reflects the most recent engagement record.

The film · 2:28

The Decoder Ring: how a Tier 2 defense manufacturer put AI to work across the company in six months.

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.

Read the story
Customer story · Manufacturing
5months

From first idea to a Brain built and launched across a 200-person manufacturer.

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.

  • Company-wide by month five200 people with access, by role, trained team by team.
A manufacturing plant floor with a five-month rollout timeline: baseline, connect, first module live, next workflows, company-wide
Watch it work

See a Brain doing real work.

A customer film, and three short looks at the Brain nBrain runs its own company on.

How nBrain runs on its own Brain

It pulls call transcripts, emails, and CRM history, drafts the proposal, and leaves it in drafts for review.

A custom proposal from two discovery calls

The agent reads the CRM record, the transcripts, and the brand guide, then writes every page for a person to review.

The 30-second tour

Twelve departments, one platform.

How we measure

Every Brain is built against a number you agree with.

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.

Month 1

Baseline

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.

  • Hours per task, by role
  • Cycle time, start to done
  • Error and rework rate
Before build

Agree the measures

Each workflow gets a written definition of done and the one or two numbers that prove it worked.

  • Acceptance criteria per module
  • A named owner on your side
  • Hours returned as the headline
Every month

Scorecard review

Results reviewed line by line with your owner, next to usage by team and cost by model.

  • Weekly active users, by role
  • Approvals, edits, rejections
  • Cost per task, by model
Ongoing

Expand on proof

The next workflow is chosen on the numbers, and reuses the data and permissions already built.

  • Each module earns the next
  • Model costs tracked as models change
  • Quarterly reprioritization
The measures we track
Hours returnedTime handed back to each team every week, against the month-one baseline.
Cycle timeHow long a quote, invoice, report, or request takes from start to done.
QualityErrors caught, rework avoided, and how often a person edits or rejects the draft.
AdoptionWho uses it, how often, and for what, by role.
Cost per taskModel and cloud spend in your own accounts, by model and by workflow.
Example monthly module scorecard for a fictional manufacturer: hours returned vs. month one, quote cycle time trend, weekly active users by team, approval rates and cost per task by model.
What our customers have in common

Successful AI adoption is half vendor, half client.

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.

01

A named owner

One person on your side with the time and authority to make calls, ideally full time on the build.

02

The people who do the work

A few hours a week from the operators whose work will change, at their desks, on the calls.

03

Access to the systems

The data and tools in scope, granted early, with security rules set by your leadership.

04

A written definition of done

Use cases with acceptance criteria, so everyone knows when a module is finished.

Your story next

Find out what a private AI Brain would give back to your team.

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.

Prefer email? hello@nbrain.ai