One platform for your listings, clients and markets

Four products on a shared data model. Use one, or all of them together.

Open-plan living room with a timber feature wall, a pale sofa and the kitchen beyond

Listing Intelligence

Turns every listing, disclosure and public record into clean, structured facts.

Our models read listing remarks, photo captions, disclosures and county records, then extract the details agents and buyers actually search for: renovation dates, layout, light, outdoor space, systems. Where the listing and the public record disagree, it flags the difference for review.

  • Structured features from free-text remarks
  • Listing vs. public-record discrepancy checks
  • Consistent fields across every market you cover
14 Linden RowBeacon, NY

Extracted from listing and records

  • South-facing living room
  • Kitchen renovated 2023
  • Air-source heat pump
  • Two-car garage, EV charger
  • River views

Listing says 3,120 sq ft. County record says 2,940 sq ft.

Example data

Buyer Matching

Ranks new inventory against each client’s brief and explains every match.

Agents capture what a client needs in plain language. As listings come on the market, Buyer Matching scores them against that brief and writes a short reason for each one, so agents send fewer, better homes and clients see why.

  • Briefs in plain language, not filter grids
  • A written reason for every match
  • Agent review before anything reaches a client
Brief: 3+ beds, under $1.2MUnder 60 min to Midtown, a yard
  1. 77 Quarry Lane, Montclair94

    Yard, 10-minute walk to train

  2. 18 Orchard Street, Montclair88

    Yard; 3 beds, smaller kitchen

  3. 9 Hemlock Ridge, Phoenicia61

    Over the commute limit

Example data

Valuations & CMAs

Comparable-sales valuations with every adjustment shown, ready in your brand.

Pick a property and get a value range built from recent comparable sales, with the adjustments for size, condition and features laid out line by line. Agents edit, then export a CMA in your company’s branding.

  • Comps and adjustments shown, never a black box
  • Agent-editable before it goes out
  • Branded CMA export
Estimated value$1.31M to $1.39M
Comparable saleSoldAdjusted
22 Linden Row$1,290,000$1,342,000
5 Ferry Road$1,410,000$1,365,000
140 Mountain Ave$1,250,000$1,318,000
Example data

Market Analytics

Listing performance and market trends by market, office and agent.

Track days on market, price changes, showings and absorption across every market you operate in. Leaders see the whole company; offices and agents see their own numbers; sellers get a weekly report on their listing.

  • Company, region, office and agent views
  • Weekly seller reports, generated automatically
  • Exports to your BI tools
Median days on marketHudson Valley office, last 8 weeks
Example data

Underneath it all

One data model across every market

We connect the MLS and IDX feeds you are licensed for, public records and your CRM, and normalize them into one schema aligned with RESO standards.

In the tools your agents already use

Results appear in your CRM, your agent app and your website through embeds, APIs and webhooks. Nobody has to learn another login.

Enterprise controls

Single sign-on, role-based access by brand, region and office, and audit logs. Your client data stays yours.

See it with your own listings

We’ll run the demo on listings from one of your markets.