Find the buildings and the land the listing services never show
MAIA finds every multifamily parcel in a county that fits your buy box, from a 12-unit building to a 15-acre assemblage, then resolves the person behind each owning LLC and where to mail them. Multifamily teams use it to turn a county into one owner list before the first letter goes out. Outbound starts from every owner in the market, not from the ones a broker already called.
How it works
Pull the buy box
Parcel records supply unit count, year built, last sale, and owner, so a city's multifamily stock filters to your band in one pass. For development, zoning, future land use, and adjacency find the assemblages.
Read the market
Renter share, income, vacancy, and growth land on each parcel from census records, and workplace jobs show where demand sits. Submarket rents and rent rules are researched for the shortlist.
Resolve the owner and the mailer
Corporate filings pierce the LLC to the person, and the mailing address is checked against parcel records so the letter reaches a home. Owners are grouped by portfolio, with phone and email where available.
The parcel export, the skip-trace subscription, and the assistant's research hours.
Questions teams like yours ask MAIA
Asked in plain language. Answered across every parcel in your territory at once.
Which buildings fit our buy box?
Unit count, year built, and last sale come from parcel records, so a filter like 2 to 50 units, built before 2000, runs across every parcel in the county.
Who is the person behind the LLC, and where do they live?
State filings drop the lawyers and registered agents, and a skip trace returns the decision maker's phone, email, and home address. The address is checked against parcel records first.
Which owners hold a portfolio, and which are mom-and-pop?
Every parcel is grouped by its resolved owner, so the name holding fifteen buildings and the name holding one sort apart, each with its own outreach.
Which parcels could carry a new project?
Zoning and future land use mark the parcels that allow density, and adjacency finds the 10 to 25 acre assemblages. Wetlands and flood records drop the wet ones.
Where does demand support new units?
Renter share, income, vacancy, and household growth from census records, plus workplace jobs, are joined to each parcel rather than the tract. Submarket rents are researched for the finalists.
Which sites are in rent control, or on a path to rezone?
Rent-control rules are researched per shortlisted site, not assumed for a whole city. Where a future land use map exists, sites planned for more density than today's zoning are flagged.
The data underneath
Every result carries the record it came from, so the analysis is cited and defensible.
| Screen for | Dataset | Source |
|---|---|---|
| Building and units | Unit count, year built, lot size, and building coverage | County assessor and property records; building footprints and heights |
| Ownership and tenure | Owner of record, last sale date and price, and years held | County assessor and property records |
| Zoning and land use | Zoning code and future land use where the jurisdiction publishes it | County assessor and property records; cited web research |
| Site constraints | Flood zones, wetlands, and slope at the parcel | FEMA, National Wetlands Inventory, and EPA records; USGS terrain data |
| Renter demand | Renter share, household income, vacancy, growth, and workplace jobs around each parcel | Census and workforce records |
| Rents and rent rules | Submarket rents and rent-control status, researched per shortlist | Cited web research |
| Owner and mailing address | LLC resolution, residential mailing address, phone, and email | Cited web research; multi-source contact intelligence |
How Connected Companies Stays Ahead of the Competition with MAIA
Peter Hang, VP of Acquisitions & Investments, Connected Companies · San Gabriel Valley, Los Angeles County · August 26, 2026
What they knew
Founded in 2018 in Azusa, California, Connected Companies develops and syndicates multifamily projects across the San Gabriel Valley, with a pipeline of more than 600 units. Its acquisitions team bought two-to-fifty-unit buildings the same manual way: export the owners from LandVision, vet every owner's contact details by hand in a skip-trace database, then run thousands of touches a month across phone, text, and other channels. The assessor's address is often a registered agent or a PO box, and vetting one owner took thirty seconds to ten minutes. The team wanted a way to grow its outreach without losing that accuracy.
What they asked
Find every 2 to 50 unit multifamily building in these San Gabriel Valley cities, and for each owner give me the person behind the LLC and contact information for each of them.
What MAIA did
Pulled the buy box from parcel records
Unit count, year built, last sale, and owner came from assessor records, so every two-to-fifty-unit building in the target cities landed in one table without a road-by-road export.
Pierced the LLC to the person
MAIA found the ownership record, read state filings to drop lawyers and registered agents, ranked the likely decision maker, and ran a skip trace for a phone and email.
Verified the contacts against the county
The address from the skip trace was checked against parcel records before it was written to the row, so outreach reaches the owner, not a registered agent.
What came back
- 11,000 multifamily parcels across the San Gabriel Valley in one pull, filtered to 2 to 50 units, the year built, and no sale in the last two years
- Owner contacts on nearly all of a 4,000-parcel batch, with each contact checked against county records before it hit the row
- 1,000 rows checked head to head against the team's hand-vetted list, with MAIA's contact enrichment winning in 90 percent of them
What they did next
Connected Companies is using MAIA to accelerate its outreach, with thousands of touches going out a month by phone, text, and other channels. The research that used to fall to one person by hand now comes back from a prompt, and that time goes to higher-leverage work. Next the team is getting ready to run MAIA across other counties in Southern California, including markets where its local knowledge runs out. With MAIA, that is no longer a worry.
Connected Companies is highly targeted in our approach. We focus on larger multifamily and development opportunities, where quality matters more than volume. MAIA helps us identify land within our buy box, research the LLCs behind each property, and find the contact details we need for outreach. It saves our team time and enables research workflows that previously weren’t practical at scale.
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