National Flat Fee Brokerage
Proptech

Built the buy-side. Then taught it to understand what buyers actually mean.

The nation's largest flat fee brokerage had a sell-side business but no way for buyers to search, discover, or transact. We built the marketplace and a proof-of-concept for AI-powered property search that understands context, not just filters.

Buy-side marketplace and agentic property search for a national brokerage

Overview

DurationMulti-phase engagement
Client TypeNational Proptech Platform
ComplianceMLS data compliance
StrategyMarketplace Build + AI Search

Impact, measured in results

50

Buy-side marketplace live across all 50 states

Top 10

Platform ranks among the most visited proptech sites in the US

First

Among the first NLP-powered property search implementations in US proptech

National Flat Fee Brokerage

The nation's largest flat fee MLS brokerage, licensed in all 50 states, operating one of the top 10 most visited proptech sites in the country. Hundreds of homes sold annually through a technology-driven model that cuts traditional agent commissions.

Why AppStream

AppStream didn't just build us a buy-side app. They gave us a search experience that none of our competitors have.

Product Lead

National Flat Fee Brokerage

Build the marketplace. Then make search smarter than anyone else's.

We built a complete buy-side web application from scratch. Mobile-responsive, consumer-grade, handling MLS data from all 50 states. Buyers can search, filter, favorite, and discover properties the way they expect from a Zillow or Compass — but integrated with the client's flat fee model.

Then we wired in the transaction layer. Title and mortgage services integrated directly into the buying experience so a buyer can go from discovering a property to closing on it without leaving the platform. That's full transaction capture — listing through closing — in one product.

On top of that, we built a proof of concept for AI-powered property search. Instead of structured filters, buyers type what they mean: "townhome in Lexington, Kentucky near Whole Foods." The engine parses the intent — property type, location, proximity to a specific amenity — and returns results that match. It's among the first implementations of semantic property search in the US market.

Challenges

No buy-side product at all. Buyers had no way to search, discover, or transact through the platform.
01
The entire buy-side of the market was going to Zillow, Compass, and Redfin.
02
No integrated path from property discovery to closing. Title and mortgage were separate, disconnected steps.
03
Property search across the industry was limited to structured filters. No platform understood contextual intent.
04
The company was capturing value on listings but losing it completely on the buying side.
05

Outcomes

Buy-side marketplace launched and running across all 50 states. The client operates it today.
Title and mortgage workflows integrated into the transaction flow. Discovery to closing in one platform.
MLS data feeds connected from all 50 states into a consumer-grade search experience
NLP-powered property search POC built and validated — contextual queries, amenity proximity, natural language understanding
Full transaction capture: the #1 flat fee brokerage now has both sell-side and buy-side surfaces
Among the first semantic property search implementations in US proptech

Summary

Provided services

Product EngineeringAI AgentsNLP / Semantic SearchSystem Integration

Our team

JT

Justin Tannenbaum

Solutions Architect

LC

Lukasz Chmielowski

Lead Engineer

PS

Piotrek Szyperski

Engineering

EQ

Ernesto Quispe

Product Design

Tech stack

.NE
Rea
Azu
SQL
NLP

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