Mica Intelligence Engine. For regional and mid-market teams.

Give the AI your team already runs a source-linked view of your markets.

The engine behind our small-business product, scoped to your regions and your data. Bespoke datasets. Larger coverage. Delivered into ChatGPT and Claude.

Built for a real data footprint

Built for firms with a real data footprint.

You run private systems, multiple locations, and decisions you make again and again. Generic AI answers the general world. Mica Intelligence gives it your markets, your industry codes, and your regions, with the source behind every number.

Manufacturing. Contractors. Property management. Finance. Legal. Multi-location firms.

The production engine.

Mica Intelligence is the system that powers our live small-business product. The same engine, scoped to your coverage.

Bespoke datasets.

We build datasets to your NAICS codes and your geography on request. Your market, at the grain your decisions need.

Larger coverage.

Coverage is deepest in New England today. A regional engagement extends that depth into the markets you operate in.

What an engagement looks like

What an engagement looks like.

01

Data mapping.

We map one recurring decision, the systems that inform it, and the market series that move it. The output is a written scope. Decisions, datasets, regions, owners.

02

MCP integration.

We connect the engine to the AI tools your team already uses. ChatGPT and Claude reach Mica Intelligence through MCP, tenant-scoped, after activation. No new dashboard to learn.

03

Signals as your market moves.

The engine returns the signals that changed for your markets, each with its source and date. Your team reads them in the AI client they already open.

Private business systems connect only after you approve the source, the fields, the purpose, and the access. Read-only by default. No writes to your systems without separate authorization.

Live foundation. As of August 6, 2026.

A real number, where it came from, and when it was true.

Every fact the engine returns keeps its source, its date, its geography, and its limit. That is the method. Here is the foundation it draws from.

1,546,037
verified observations
183
market series
667
industry links
7,155
registered geographies
16
public dataset families

Where the observations come from.

  • Census CBP1,212,021 observations
  • Census BFS126,996 observations
  • Census ACS67,236 observations
  • FEMA NRI59,736 observations
  • NOAA Storm Events36,848 observations
  • Census Building Permits22,122 observations
  • Census Population Estimates4,990 observations
  • FEMA NFIP Flood Insurance4,038 observations
  • BLS Producer Price Index3,294 observations
  • EIA Short-Term Energy Outlook2,887 observations
  • BLS Consumer Price Index2,316 observations
  • HMDA Mortgage Originations1,470 observations
  • FEMA Disaster Declarations1,256 observations
  • FRED Monthly State Retail Sales528 observations
  • IRS SOI Migration240 observations
  • NH Professional Licensing59 observations

What one cited answer looks like.

  • Census CBP2019-2023

    Roofing establishments rose from 17 to 21.

  • Census BFS County2023-2025

    County business applications rose from 4,316 to 4,767.

  • NOAA Storm Events2025

    The county recorded 3 hail and 8 thunderstorm-wind events.

  • Census ACS2019-2023

    ZCTA 03801 has a median structure year built of 1959, plus or minus 3 years.

Counts describe competitive and market context. They do not prove demand or causation.

Deepest coverage today is New England. National fine-grain depth is not claimed. A regional engagement builds the depth your markets need.

The engine already runs in production.

Marketing is the first live application. Mica Social plans and publishes daily content from approved business context for real customers today.

See the results
For your evaluation

Data sheet and technical docs.

Two references for your team. A product data sheet and an MCP technical overview.

Product data sheet

What the engine delivers, and where its numbers come from.

  • Source-linked market and business context, delivered to ChatGPT and Claude through MCP.
  • 1,546,037 verified observations across 183 market series and 16 public dataset families.
  • Census CBP and BFS, FEMA NRI, Census ACS, and NOAA Storm Events. Every usable fact keeps its source, date, geography, industry scope, and limit.
  • Deepest coverage in New England today. Regional engagements extend depth with bespoke datasets built to your NAICS codes and geography.
Request the data sheet
MCP technical overview

How access works over the Model Context Protocol.

  • Your ChatGPT or Claude connects to the Mica Intelligence Engine as a context source.
  • A tenant-scoped credential is issued after activation. Fail-closed. No anonymous or cross-tenant reads.
  • Ask for county business counts, business formation trends, FEMA risk values, storm history, and ACS housing facts. Each answer returns with source, date, geography, and limit.
  • No writes to your systems. No private-system access without scoped approval. Every fact carries its publication and retrieval date, so current means the latest trustworthy release.
Request the MCP overview

Ask for either on the call and we prepare it scoped to your regions.

Scope one region on a call.

Bring one recurring decision and the markets you operate in. We map the datasets, the MCP integration, and the signals, then price the coverage.

Local self-serve pricing is listed on the pricing page. Regional coverage and bespoke datasets are scoped and priced on the call.