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Quickstart

What is MAIA?

MAIA is a geospatial research engine. You define a research objective in plain language, MAIA's agent builds a spatial database to answer it, and every researched value in that database names its source.

What MAIA does#

Most questions about the physical world are "where" questions with conditions attached. Which roofs are large enough, owned by the right kind of company, and eligible for an incentive. Which parcels are zoned for the use, sized for the deal, and held by someone who might sell.

You ask one of them in plain language.

You ask

Find large, single-tenant commercial buildings in Maricopa County with solar-ready roofs, verified ESG obligations, and available incentives

MAIA's agent searches its data and researches what the data does not hold. The result is a project: layers on a map, rows in a table, and a written answer. Every researched value carries its reasoning and its sources, so you can check it.

A finished run: the answer in the chat, the layer on the map, and the same rows in the table.

The database is the product. The answer is a summary of it, and the database is the proof.

One researched cell, opened. The value is in the cell, and the reasoning is in the panel.

How you work with it#

Working with MAIA takes four steps. They are the same whether you use the web app or drive MAIA from an AI assistant such as Claude or ChatGPT.

DefineWhat you doState the research objectiveRead moreDefine
DispatchWhat you doHand it to the agent, and answer what it asksRead moreDispatch
ReviewWhat you doCheck the answer against the database behind itRead moreReview
CompoundWhat you doSave the method and run it againRead moreCompound

Three things to know before your first run:

  • A project covers one county. You choose it first. For a second county, start a second project.
  • Research spends credits. Records are queried for nothing extra. Research on rows spends from your workspace's credits, and MAIA asks before a large run. See Credits.
  • The people behind an owner are an enrichment. MAIA finds them when you ask. See Contacts.

What it is made of#

MAIA has four parts: agents that do the work, data they can read, context they remember, and the workspace where the work lives. What the agents find that no dataset holds is an enrichment. Each part has its own page, starting at Capabilities.

Two ways in#

The web appHow you reach itSign in at app.maia-analytics.comBest forWorking on the map and in the table
The MCP connectorHow you reach itAdd MAIA to Claude, ChatGPT, or another MCP clientBest forDriving MAIA from the AI assistant you already use

Both reach the same agent, the same data, and the same projects. The connector is turned on per workspace. See Connect.

When MAIA fits#

Use MAIA when:

  • Your question covers many parcels or buildings across a county.
  • The answer depends on several conditions holding together.
  • Part of the answer is in no database and has to be researched.
  • You need to know who owns a place and how to reach them.
  • You will ask the same question again in the next county.

Look elsewhere when:

  • You have one known address and one known question.
  • You need turn-by-turn directions or live traffic. MAIA computes drive, walk, and bike times, and it assumes free-flowing roads.
  • You need a finished report or a chart. MAIA produces maps, tables, and spreadsheets.
  • You need a decision about a person's credit, insurance, employment, tenant screening, or housing eligibility. MAIA declines those uses. See Restricted uses.

Next#

Follow one run from start to finish in Your first run.