MatchBridge
A thousand buyers against a thousand listings, scored continuously, with an AI copilot working inside the CRM.
The whole book on one screen
Every buyer and every listing, each row carrying its live match count. The work that used to live in an agent's memory and a private spreadsheet, scored and sorted in one place.
The book on a map
Every listing pinned and price-banded at a glance. Sidekick can drive this view too: "show me everything under a million near downtown" just works.
A score you can argue with
Every match shows its work — price, location, size, condition, timeline, each scored on its own. Agents trust a 92 they can unpack; nobody trusts a black box.
Intake built for the matching engine
Structured from the first keystroke — address autocomplete, price, beds, baths, condition — so every new record is instantly matchable, not a notes field someone has to decode later.
A busy brokerage carries a thousand buyers and a thousand listings at once — a million possible pairings. Agents only ever check the dozen they remember; the rest sit in private spreadsheets or never surface. The most valuable work in the business was happening from memory.
MatchBridge scores every buyer against every listing, continuously, and puts an AI copilot right next to the data. Scoring is deterministic: eleven signals like price, location, size, and timeline, weighted by the fields a record has filled in, so a thin profile can't fake a strong match. Sidekick, the copilot, handles the busywork in plain English — add a buyer, run the matches, explain why a score is what it is, even drive the map. New listings pull their detail from Zillow, and an existing book imports from a spreadsheet in one step.
- Scores every buyer against every listing 0–100 on eleven signals, with the reasoning behind each match.
- Weights only the fields a record has, so a sparse profile never inflates a score.
- Sidekick adds records, runs matches, and explains any score without leaving the page.
- New listings arrive pre-filled from Zillow; an existing book imports from a spreadsheet in one step.
- Multi-tenant with team invites and per-agent assignment, so each brokerage's book stays its own.
In production with the design-partner brokerage, whose full book — every buyer against every listing — now runs through the engine instead of an agent's memory.