AI business analyst

Ask the questions you would normally hand to an analyst.

Start with a question—no data connection required. Milou finds the relevant data, runs the analysis, and returns an answer you can audit. Add your company data when you want the answer specific to your business.

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  • No data connection required
  • Thousands of datasets ready
  • Add your data when useful
milou · business analysis
External data Ready now Thousands of ready-to-use datasets
Your data Optional Spreadsheets · CSV exports
Which neighborhoods combine strong customer demand with lighter competition?
Milou analyzed the data
Bar chart ranking illustrative neighborhoods by customer-fit score.

Riverside has the strongest demand profile relative to nearby competition.

Illustrative · external data only
Thousands of curated, ready-to-use datasets
Hundreds of topics: transportation, health, climate, finance, labor, housing
State to county geographic detail across the U.S., where available
Minutes from a plain-language question to decision-ready evidence

Different decisions, different sources

Business decisions Milou can help you analyze

Milou matches each question to relevant evidence. These examples span eight named source families in the live catalogue.

Retail corridors

Which road corridors combine high reported vehicle traffic with the household base my concept needs?

Grounded in: FHWA Highway Performance Monitoring System + Census ACS.Vehicle counts, not foot traffic or store visits.

Explore site selection →
Site risk

Which candidate sites fall within areas with higher relative hazard risk or sit near an EPA-listed facility?

Grounded in: FEMA National Risk Index + EPA Facility Registry Service.A screening signal, not parcel-level diligence.

Explore site risk →
Food access

Which counties combine a large low-access population with relatively few grocery stores?

Grounded in: USDA ERS Food Environment Atlas.A descriptive screen, not proof of profitable demand.

Explore market analysis →
Preventive care

Which areas show higher estimated diabetes prevalence and lower routine-checkup rates?

Grounded in: CDC PLACES.Aggregate modeled estimates, not diagnoses or individual targeting.

Explore responsible analysis →
Talent pipeline

Which metros award the most credentials in the fields we hire for, by award level?

Grounded in: NCES IPEDS Completions.Completions measure a pipeline, not available applicants.

Explore workforce analysis →
Weather-sensitive operations

Which candidate metros have milder historical temperatures during our peak operating months?

Grounded in: NOAA GHCN-Daily.Historical station-based observations, not forecasts or energy bills.

Explore operating context →

Browse all business use cases, see how sources are matched to a decision, or explore personal decisions.

Why the analysis is inspectable

Grounded in traceable data, with sources you can verify

For decisions where money or where you live is on the line, a confident guess isn’t good enough. Milou is built to make the evidence, method, and limitations inspectable.

  • Matched to the decision

    Milou selects evidence for the question at hand, rather than forcing every decision through the same familiar datasets.

  • Every number identifies its source

    Figures carry the dataset, publisher, and period behind them so you, your lender, or your client can check the original evidence.

  • Analysis with explicit limits

    Milou runs the statistics and reports what the evidence can and cannot establish, so a screening signal is not mistaken for a verdict.

Read the methodology or walk through a sample analysis.

milou · what should we investigate before signing?

What belongs in a first-pass site screen?

  • Reported vehicle traffic Observed
    FHWA Highway Performance Monitoring System
  • Relative hazard exposure Modeled screen
    FEMA National Risk Index
  • Environmental listings Registry check
    EPA Facility Registry Service
  • Resident market Demographic context
    Census American Community Survey

The screen narrows diligence; it does not approve a site. Confirm traffic, parcel conditions, leases, and local facts before committing.

Four distinct public-data families

How it works

From a question to decision-ready evidence in three steps

  1. 1

    Ask

    Type your question the way you’d say it out loud. No SQL, no dashboards, no setup.

  2. 2

    Milou works

    It finds the right datasets, runs the analysis, and builds the charts, all in minutes.

  3. 3

    Review and decide

    Review the answer, sources, assumptions, and limits. Use the evidence as one input to your judgment.

Have your own numbers? Upload a file and Milou folds it right in, enriching your data with market and economic context for a fuller picture.

For teams

Put Milou on top of your own data

Bring your own numbers — store performance, sales, customer records — and enrich them with external context on markets, demographics, and the economy, for insight your data can’t reach on its own.

Talk to sales
  • Upload your files and join them to thousands of external datasets
  • Key matching and grain checks handled for you — county, metro, ZIP, or tract
  • Every joined figure keeps its source, vintage, and stated limits
  • Warehouse and database connectors, SSO, and private deployment — in development

FAQ

Good questions to ask first

Do I need SQL or any technical skills?

No. You ask in plain language, the way you’d ask a colleague. Milou handles finding the data, running the analysis, and building the charts.

How is this different from ChatGPT?

Ask a general assistant for median rent across every county in Texas and it will usually tell you which Census table to download. Milou retrieves the table, computes the figure across all 254 counties, and shows the source, the method, and what the number cannot establish.

Where does the data come from?

From a curated catalogue of thousands of government and market datasets spanning transportation, public health, climate, finance, housing, demographics, education, labor, and the economy. Geographic detail and update frequency vary by source, and every figure names the public source it came from. You can also add your own files. See the methodology and representative sources.

Can I use my own or my company’s data?

Yes. Upload a spreadsheet or CSV export to analyze it on its own, or join it to external data for an answer specific to your business — Milou matches the keys and checks the grain for you. Direct warehouse and database connectors are in development; see For teams.

Is my data private?

Uploaded files and analyses are stored in your account so you can return to them, and are never sold. They are not shared beyond the model provider that runs your analysis. Milou is in early access, so transcripts are retained for answer-quality review — email reza@milou.ai and we’ll remove yours. Private-cloud and on-premise deployment, so data never leaves your environment, is in development.

How is this different from a BI tool?

BI tools make you already know the question and build the chart yourself. Milou lets you ask in plain language, finds the data for you, runs the analysis, and hands back the answer with its sources.

Free to start

Ask your first question

Bring a real decision you’re weighing and see what comes back, sources and all. Sign in with Google — your first analyses are free.

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Rather be walked through it? Book a 20-minute demo