AI-powered property evaluation that ranks every listing by how well it fits each buyer's actual priorities — and Listing Lab, a pre-listing workshop that shows you live demand from your own buyer book before you ever set a price. Weighted scoring, one-click reports, and a match board built for the way real estate is really bought.
Every buyer you work with has their own definition of "perfect." One family prioritizes schools above everything. Another won't compromise on commute. A third cares about lot size, workshop space, and how close mom lives. MLS search doesn't know any of that — it filters by beds, baths, and price, then hands you a list. You forward it. Your buyer opens it. And together you waste weekends driving to houses that were never going to work.
Every listing presentation runs on the same evidence: a stack of comparables and a confident opinion. Comparables tell you what sold. They can't tell you who is looking right now, at what price, with what priorities. Listing Lab can, because your brokerage already has that in its buyer book.
The agent enters the home as a private draft — invisible to buyers, invisible on any match board — and tunes the price while live demand from the buyer book responds in real time. Move the number and watch the interest move with it.
The home exists as a draft only the agent can see. It doesn't surface to buyers, it doesn't appear on match boards, and it doesn't score against anyone's criteria. It's a workshop, not a listing — so you can model an appointment for a seller who hasn't decided yet without touching anything real.
Demand is charted across price points, so a seller can see for themselves what happens at their number versus yours. Not an argument about the market — a picture of the buyers who are actually in it, drawn from your book.
Comparable actives still matter, and they're right there. But they answer a question about the past. The demand curve answers the one the seller is actually asking: at this price, is anybody going to come? Two different kinds of evidence, on the same screen, at the moment the price gets decided.
When the seller signs, activation turns the draft into a live listing in SchemeSync. The work you did to win the appointment is the same record that goes on to work the listing — nothing gets re-entered, nothing gets lost between the kitchen table and the system.
SchemeSync RE turns each buyer's priorities into a weighted scoring model, then evaluates every property against their personal criteria. Every listing gets a fit score, a tier classification, and an AI-generated report written specifically for that buyer.
Each buyer sets their own priority weights across categories: location, price and value, size and layout, condition, commute, schools, whatever matters to them. Every property gets scored against their model.
Every property generates a custom buyer-facing AI report that incorporates their criteria, their grade overrides after visits, their notes, and specific comparisons to similar properties they've seen. Not template copy. Real analysis.
Instead of forwarding MLS emails, open the match board. See every property ranked by fit score for the buyer in front of you. Elite fits rise to the top. Budget red-flags show at a glance. Click through to the full evaluation in one tap.
Search listings by city, price range, bedrooms, or keyword. Pick the ones worth considering. One click imports the property and auto-scores it against every active buyer in your book — no manual data entry, no per-buyer re-work.
Auto-scoring is only the starting point. After a buyer tours a property, they can override any grade — the schools felt better in person, the commute felt longer than Google said. Overrides feed back into the fit score and the AI report for that property.
The agent-side ranking view. Properties ordered by weighted buyer readiness: timeline, pre-approval, budget, motivation. Move the sliders to see who to call first. Know instantly which of your buyers is most likely to close on which property.
Most software that claims to match buyers to homes is really matching filters to inventory. SchemeSync RE scores against what a buyer actually said mattered — and it treats what they said as private by default, because a buyer who thinks their agent is reading their weights will not answer honestly.
Agents and brokers decide which criteria exist — they build the list from a catalog of scorable attributes and set the targets. But how important each one is to a given buyer is the buyer's alone. Those importance ratings are invisible to everyone, including the agent working the deal, unless the buyer chooses otherwise.
Plenty of buyers do want help setting their weights. So a buyer can delegate access from their own login, and take it back whenever they want. Every change is logged. The default is private, the exception is deliberate, and the record shows which was which.
The things that actually decide a house are rarely the things MLS sorts by. Weighted criteria go down to the lifestyle level — a pool, waterfront access, a gated community, whether pets are allowed, single-story living, the schools — each carrying exactly the weight that buyer gave it, not a weight someone else assumed.
Listing data is incomplete more often than not. If a listing is silent on whether there's a pool, that silence is treated as unknown — not as an absence. Scoring a missing field as a failure would quietly bury good houses, so it doesn't happen. Unknown is its own answer, and it's handled as one.
CSV import with smart column mapping, so the spreadsheet you already keep doesn't have to be reshaped by hand. Mapping templates are built once and shared across the office, then applied automatically the next time. Partial success is handled honestly — the good rows land, the problem rows are reported instead of silently dropping the whole file.
Imports and new inventory score in the background with visible progress, so bringing in a large batch doesn't lock up the app or leave you guessing whether it worked. The architecture is built to absorb a live MLS feed at that volume.
Client-facing collateral and internal analysis, built from the properties and buyers already in the system rather than from a template you fill in yourself.
A chat interface that answers from the agent's own portfolio — buyers, properties, and evaluations. Alongside it, the AI Daily Action Plan gives agents and brokers a plan for the day built from their own book: what moved, what's gone quiet, and where the next hour is best spent.
Brokers oversee their team. Agents manage their buyers and properties. Brokerage Admins handle the administrative side of the firm — user accounts and office setup — without carrying a book of business. Buyers see only their own data, and their priority ratings stay private even from their agent. Role-based permissions prevent cross-contamination and keep every conversation clean.
Buyers log in to see their match board, adjust their own criteria, override grades after tours, and write notes. Every change feeds the AI report. You keep the agent relationship. They get a tool that respects their intelligence.
Every agent, buyer, and property is scoped to a brokerage. Data never leaks across firms. When you bring on a new agent, their buyers and properties roll up into your brokerage view. Clean separation, automatic compliance.
Every report is grounded in the actual listing data, the buyer's criteria, and their personal notes. Not marketing fluff — actual analysis a buyer can use to make a decision.
SchemeSync RE runs as your association's platform, under your association's brand. Member brokerages onboard underneath it with board approval, their agents get the tools, and every buyer gets their own login.
SchemeSync RE is deployed as a white-labeled platform belonging to your association. Members experience it as something the association provides, not as a third-party tool they were pointed at. Branding carries through the product, and user management stays central so the association can see what's set up across the whole membership.
Member brokerages onboard themselves and land in an approval queue — the board decides who gets in. No manual account provisioning at the association level, and no member firm waiting on a ticket to get started. Each approved firm designates its own Brokerage Admins to handle user accounts and office setup.
Inside each member firm, agents get the full working product — match boards, Listing Lab, reports, the AI Daily Action Plan. And every buyer gets their own login, which is what makes the private-criteria model possible in the first place: a buyer needs somewhere only they can see to set their own weightings.
Plenty of agents work both sides — a residential book and a commercial one. One login covers both SchemeSync RE and SchemeSync CRE, so there's no second password and no second onboarding.
SchemeSync RE matches buyers to homes against priorities they actually set, turns the listing appointment into a demand workshop, and keeps every buyer’s ratings their own.
Explore the Features →