Dr. Data Mascot

Governed Intelligence for small and medium businesses

Data first. Decisions second. AI third.

Own your AI. Don't rent it.

We capture how your expert decides. We build it on your data, on your premises. Every answer cites its source. Every call is logged. Nothing leaves the building without the expert's approval.

On-premise by default. Sovereign AI, close to your data. An MSP server or private cloud only when the expert chooses it.

Dr. Data's Managed Intelligence Platform delivers Governed Intelligence.

Milwaukee. Nationwide. International.

Expert rules encoded • Every answer cited • Every call logged

Who's behind this

Built by an enterprise AI and data research leader specializing in reliable machine learning, decision intelligence, and organizational adoption. Providing applied research and advisory for decision-ready AI systems.

Meet Dr. Zubia Mughal

Who we build for

For MSPs and security providers

Add a governed intelligence layer for every client you serve, on the client's premises or on your server when the expert chooses it. We build it and keep it correct. You keep the client relationship and the margin.

See the partner program

For experts who built the business

Decades of judgment live in one expert or a few. We encode that expertise into a private AI system the next generation can run.

See how we capture expertise

Strategy Desk

A business assistant for strategic decisions. Ask a question and get an answer grounded in your own data, with every source cited.

Book a demo

Your team is already using AI. They paste client files, bids, and notes into free tools on personal accounts. You don't know which tool, which account, or what it keeps. There is no log. There is no source behind the answer. Shadow AI is the risk you already have.

Own your AI. Don't rent it.

How Governed Intelligence works

Rules

We capture how your expert decides, and those rules run the system from day one. A model replaces a rule only when it beats that rule on data it has never seen.

Boundaries

Four data classes decide where data can go: public, internal, confidential, and restricted. On-premise by default. Nothing leaves the building without the expert's approval. Unclassified data stays locked until the expert reviews it.

Record

Every answer cited. Every call logged. One signed policy. One kill switch.

Governed Intelligence is AI that knows how the expert decides, runs close to the data, cites every answer, and moves nothing outside the building without the expert's approval.

Common questions

What is Governed Intelligence?

Governed Intelligence is AI that knows how the expert decides, runs close to the data, cites every answer, and moves nothing outside the building without the expert's approval.

Do you work with MSPs and cybersecurity providers?

Yes. We build the governed intelligence layer that MSPs and security providers offer their clients, on the client's premises by default or on the MSP's server when the expert chooses it. The partner owns availability and the client relationship. We own the correctness of the output.

Where does the data live?

On-premise by default, on hardware at the business. An MSP server or private cloud only when the expert chooses it. Nothing leaves the building without the expert's approval, and every call is logged.

Who owns the system?

The build is paid once, and the system belongs to the business: the platform, the data, and the decisions. The monthly managed service keeps it correct through monitoring, evaluation, governance, and improvement. If the business stops the managed service, it keeps everything, and our accuracy checks stop.

Who is Dr. Data?

Dr. Data Decision Intelligence LLC is a Milwaukee firm, founded by Dr. Zubia Mughal, Ed.D., that builds governed AI for small and medium businesses nationwide and internationally.

The Managed Intelligence Platform

Managed Intelligence is how we run AI after launch. We capture your expert judgment. We build it into a private system that runs on your own data. Then we stay accountable for correctness every month: monitoring, evaluation, governance, improvement.

Your data changes. Your market moves. A system left alone drifts. The platform is the ongoing work that keeps your private AI correct and current.

What it is

It is your private AI, built for your business, plus the ongoing work that keeps it right. Your data stays yours. The platform is how it stays sharp.

How we run it

  • We watch the sources, so a data feed that goes stale or changes meaning gets caught before it reaches you.
  • We keep the output honest. Every number traces to its source, and the reasoning is logged. The model never invents a figure.
  • We update the models. As better AI is released, we test it against your data and move your system to it when it performs better.
  • We report every month. What was checked, what changed, what we caught. You are never left wondering if it still works.
  • We grow it with you. Your system starts by telling you what needs attention today. Over time, as it records what actually happened, it starts telling you what is likely to happen next.

How it runs for you

On-premise by default. An MSP server or private cloud only when the expert chooses it. Your data stays isolated, your decisions stay logged, and nothing you own becomes someone else's training data.

Built for your trade.

Manufacturing and trades

You quote from judgment, and margin slips when material costs move. Your best estimator is aging out. Your bids live in PDFs you cannot search. We build local systems that hold your margins and turn your history into quotes fast.

Legal and medical

Your files are the most confidential thing you own, and public AI is a poor fit. We build private systems that query your documents offline, on a machine your firm controls. Nothing shared.

Distribution and agriculture

Your margins move with carrier and supplier rates, and your batch knowledge is one retirement from gone. We build local systems that keep it, on your hardware.

Six months

12

private systems shipped and installed

10

verticals

Zero

client data sent to a third-party model

Unless the client authorizes it.

Private AI, built and installed. 12 systems, 10 verticals, since March 2026.

  • Legal: Your matter files are the most confidential thing you own, and you are one paste away from losing control of them.
  • Clinic: Patient records need a home the practice controls.
  • Finance and accounting: Every client return you put in a cloud tool is a disclosure you did not document.
  • Builder and trades: You have years of bids and no way to find the one that matches the job on your desk.
  • Restoration: Your carrier history and claim patterns are the business, and they live in one person's head.
  • Coaching: Your method is your product. Renting it to a model your competitors also pay for is not a strategy.
  • Real estate: Your best leads are already in your database. You just have no time to work them.
  • Event management: Every event lives in a different spreadsheet, and the details that matter are in your head.
  • Marketing: You are making spend decisions on gut feel, because the data lives in tools that do not talk to each other.
  • Front desk: Your front desk answers the same questions all day, while the calls that matter go to voicemail.

For managed service providers

Your clients are asking about AI. You do not have to build it.

Your clients are already asking you for AI. Building private AI is a different business from running IT. Dr. Data builds it. On hardware the client owns, or in an isolated cloud environment, with client data staying on a system they control unless the client authorizes otherwise.

The partner supplies the hardware, the network, and the ongoing IT relationship. Dr. Data supplies the intelligence layer, the configuration, and the ongoing correctness of the output. Two commercial models are available: a referral arrangement on client owned builds, and a wholesale arrangement on the managed cloud service where the partner resells at their own price and keeps the margin.

A partner tier reference with scope, support boundaries, and rates is available on request.

See the partner program

Dr. Data vs. the Alternatives

Data Privacy

Cloud SaaS

The consumer tiers most small and medium businesses use train on what you type by default1, and staff paste work into personal accounts2. Files may sit in the cloud, but the reasoning behind your decisions is never logged.

Generic Private AI

Private, but hands you a blank, unconfigured server

Dr. Data

On-premise by default. Nothing leaves the building without the expert's approval. Logged and explainable.

Pricing

Cloud SaaS

$30 to $50 per user every month, forever

Generic Private AI

High upfront hardware cost plus setup headaches

Dr. Data

Bought once, owned outright. No per-user fees. A monthly managed service keeps it correct.

Functionality

Cloud SaaS

Generic chat window, you do the prompting

Generic Private AI

Blank local chat, no business logic built in

Dr. Data

Job-specific workflows: Bidding AI, Lead AI, Front Desk AI

Your Data

Cloud SaaS

Expects clean spreadsheets or manual uploads

Generic Private AI

Expects organized vector databases

Dr. Data

Structures your messy reality: scanned PDFs, bid logs, email notes

Support

Cloud SaaS

Ticket queue from a distant tech giant

Generic Private AI

Remote hardware support desk

Dr. Data

Expert-led delivery, enterprise AI experience brought to Milwaukee small and medium businesses

Available on-premise on hardware you own, or as a managed private cloud for multi-site businesses. Both keep your data isolated. It reaches a shared model only with your authorization.

1 Based on OpenAI's published data-use policy for Free and Plus tiers, last reviewed August 2026. Team and Enterprise tiers differ.

2 Based on Google's published Gemini Apps privacy policy for consumer accounts, last reviewed August 2026. Workspace tiers differ.

Your first hires are seats.

You cannot afford a full team yet. You can afford a seat. A seat is one job, trained on your own data, running on a machine you own. You fill one, prove it, then add the next.

Front Desk

Answers the questions you answer forty times a week. Books the calendar. Logs every inquiry with a next step. Nothing gets missed after hours.

Prospector

Watches the public signals in your market, permits, filings, sales, and hands you a ranked short list every morning. It tells you who. You decide who to call.

Estimator

Pulls the past bid that matches the job on your desk, applies your margins, and drafts the quote with the reasoning shown. You sign it. Every number stays yours.

Pipeline Manager

Works the contacts already in your database. Scores them, surfaces who is warm, drafts the follow-up. Turns a dead list into a schedule.

Trainer

Holds your method. Answers "how do we do this here" so your team stops asking you. Onboards the next person the way you would, if you had the time.

Analyst

Reads the decisions you have logged and tells you what is working. Which leads paid off, which jobs held their margin, where your time went. Turns six months of your own choices into the answer to what to do next.

Each seat runs on-premise by default. No per-seat fees. You buy the seat once, and it does not quit.

It pays for itself three ways.

Every build earns back what you put in, and it does it three ways at once.

It recovers your time.

The work that ate two hours a day gets done in minutes. Your hours are worth real money, and you get them back.

It cancels subscriptions.

One private system replaces a stack of monthly tools you were renting and barely using.

It turns rent into an asset.

The software you rented forever becomes something you own. The device is yours. The subscriptions were money out the door with nothing at the end.

Recover time. Cancel rent. Own the asset. That is the whole return, and you can see it on day one.

One system. Fewer bills.

Look at what you pay every month. A CRM. AI seats for your team. Lead tools. Email marketing. Scheduling. A dashboard you rarely open. A lot of it used at a fraction of what it costs, all of it rented, all of it holding your data on someone else's servers. One private system can replace a stack of those. You stop paying rent on tools you half use, and you own what is left. Your data comes home, and your monthly bill gets shorter.

Start small. Own it from day one.

Start with one service. Each stands alone. No monthly fees. You keep what we build.

Private AI Discovery

We map how your experts decide, check your data and your hardware, and hand you a blueprint. Credited toward your build.

Retiree Knowledge Capture

Your best estimator is retiring. We pull thirty years of judgment out of their head and into a tool your team keeps.

SaaS Audit

You are paying monthly for software your team barely uses. We show you what owning it outright would save.

Drawings to Quote

Days of pulling specs out of PDFs become minutes.

Why Own Your AI

Your rules are your moat

Your value floors, job radiuses, profit margins, and subcontractor notes are what make your business profitable. Uploading them to a shared cloud risks handing your competitive advantage away. Nothing leaves the building without the expert's approval.

A capital asset, not a perpetual expense

You would not rent your work trucks or shop tools per mile if you could own them outright. Custom AI is the same: a permanent operational asset on hardware you own, bought once, no per-user rent. The monthly managed service keeps it correct.

Decisions you can explain

When your AI ranks a job or drafts a quote, it gives you exact reasons grounded in your own operational history, never an arbitrary confidence score from a black box.

Your decisions get logged, with the reasoning, so you build strategy over time. Cloud chat forgets.

Every build starts with a structured method that captures how your expert decides.

FREE FIELD GUIDE

Is your bidding AI-ready?

A 60-second checklist for builders and trades. Run it on your own shop and see exactly what's slowing your bids down. No sales pitch, just the guide.

Data first. Decisions second. AI third.

Data that actually makes sense

Your data doesn't talk to itself

Put insight workflows on autopilot

Yes, even the messy qualitative stuff!

Extract and structure signals automatically

Better forecasting, fewer surprises

How It Works

01

DISCOVER

We map your data and how you decide.

02

CONNECT

We build your private system.

03

DECIDE

You act with confidence.

Real results, honestly reported

An anonymized solo real estate agent in Wisconsin, six-month AgentPulse engagement.

18.5x

ROI multiple over six months

$57,380

Estimated value created

$3,094

AgentPulse build plus six months hosting

Representative engagement. Client anonymized. Figures are estimates.

Read the AgentPulse case study

Run your own numbers.

Enter what you spend today. Drag each slider to the share you expect to change. Every figure is yours. We label what is real money and what is an estimate. These systems handle repetitive work. Your people keep the judgment.

Real money: what you pay today

SaaS subscriptions

CRM, scheduling, content tools, forms, dashboards.

AI agent seats

Per-user AI plans, AI receptionist or AI employee subscriptions.

AI API and token spend

Metered API bills.

Products: Private Hub

Outsourced development

Developers and automation builders.

Products: Managed Intelligence Platform

Data, analytics, and BI

BI licenses, dashboard tools, market data subscriptions.

Products: Bidding AI, Managed Intelligence Platform

Paid leads and lead data

Per-lead purchases, list rentals.

Products: Lead AI

Outsourced tasks

First-draft content, report formatting, routine follow-ups.

Estimates: your team's time

Time your team gets back

Hours per week re-keying data, chasing follow-ups, building reports, times your hourly rate. That time goes back to clients and judgment.

Capacity for growth

What extra help would cost if you took on more work.

Products: Managed Intelligence Platform

Spend you could cancel

$0 a month. $0 a year.

Real money you pay today.

Time and capacity value

$0 a month.

Estimate. Not cash.

We never add these two together.

Running AI privately has its own cost in hardware or hosting. We cover that side on the discovery call.

Your numbers stay in your browser. Nothing is stored or sent.

Bring these numbers to a discovery call.

Book a discovery call

Data first. Decisions second. AI third.

On-premise by default. Sovereign AI, close to your data. Nothing leaves the building without the expert's approval. Your MSP keeps it running. We make sure it's right.

Book a discovery call
Ask Dr. Data