The right homes, in front of the right buyer, automatically.
From a buyer's criteria the AI scans inventory, ranks the best matches, and books the tour, all before an agent lifts a finger. Press match.
Buyer profile
The Nguyen family
Budgetup to $900k
Bedrooms3+
Must-havebackyard, near schools
AreaEast end
Financingpre-approved
Ranked matches
scanning 1,240 listings…
42 Maple Avenue
3BR · $868k · big yard · 4 min to school
96match
9 Elm Place
3BR · $849k · yard · 7 min to school
91match
14 Birch Street
4BR · $884k · corner lot · 9 min
88match
7 Cedar Court
3BR · $852k · small yard · 5 min
84match
📅 Tour auto-booked: top 3 homes, Saturday 2:00 PM with agent Lia. Buyer confirmed by text.
Hours of MLS searching, done in seconds.
The impact
Hours of MLS searching collapse into seconds per buyer.
The AI scans the full inventory, ranks the best fits and books the tour before an agent opens their laptop.
Typical projectionReal estate brokerage · industry benchmark
Time to a ranked shortlist
3 h→9 s
▲ from hours to seconds
Buyers handled per agent
12→34
▲ 2.8x without new hires
Showings booked per buyer
1.4→3.1
▲ tighter, better matches
Buyer requests resolved without manual search
Steady state
Projection, not a guaranteed result. Typical estimated range for businesses in this sector based on typical volume. Individual results vary. Shown as system capability, not a specific client case.
