Find every platform and add-on that fits the thesis
Lower-middle-market targets rarely arrive as clean rows in a database. A med spa, car wash, self-storage operator, or dental group may trade under several names, operate across multiple entities, and own some locations while leasing others. MAIA maps the operating universe, resolves the companies and owners behind each location, groups them into portfolios, and adds the market and real estate context needed to prioritize platform and add-on candidates.
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How it works in MAIA
Define the thesis
Set the sector, geography, ownership profile, location count, and signals that define a fit.
Map the market
Find every location. Deduplicate records, normalize brands and DBAs, and connect each site to its legal entities.
Resolve the portfolios
Group locations by operator and parent. Separate independents, franchises, regional groups, and institutional platforms, including who owns or leases each site.
Prioritize the targets
Compare footprint, market density, demographics, competition, and whitespace. Return the ownership chain, contacts, and evidence.
Industrial outdoor storage
Find the industrial yards the listing databases miss
Retail site selection
Find the next trade area. Then find the corner
Commercial solar
Find every commercial solar opportunity in a market
Demand forecasting
Model where demand will appear next
Target account sourcing
Build a territory no sales database can see
Whitespace analysis
Map where demand is growing faster than coverage
