
3BR Marina Residence
AvailableDubai Marina · Apartment · Sale
CodeBuzzers builds AI-powered real estate applications, property platforms and PropTech solutions for developers, brokers, agencies and property businesses across Dubai and the UAE.

Dubai Marina · Apartment · Sale

Downtown Dubai · Apartment · Rent

Dubai Hills · Villa · Sale
Built for property businesses across Dubai & the UAE
Most property companies start the same way. They commission a listing app, launch it, and discover within a quarter that the app was never the constraint. Enquiries arrive by WhatsApp and never reach a CRM. Two agents call the same buyer. A lead from a portal, a lead from the website and a walk-in are three unrelated records. Nobody can say which listings actually produced revenue.
Real estate app development is not a catalogue problem — it is an operations problem wearing a catalogue interface. The property itself is a record with dozens of dependent objects around it: the buyer, the tenant, the agent, the broker, the owner, the lease, the payment, the document, the viewing. Software that models only the first of those will always leak the rest into spreadsheets.
We build the whole system. Property discovery and mobile apps on the front, a real estate CRM and property management back office behind them, payments and documents where money and obligations move, and AI sitting across the data qualifying leads, valuing property and answering customers at three in the morning. One platform, one data model, one place the numbers come from.
That is the difference between a property app and a property business running on software it owns.

Search, filters, map browsing and recommendations — the layer buyers and tenants judge you on in the first ten seconds.
Every enquiry captured, deduplicated, routed to the right agent and tracked until it closes or dies for a known reason.
Pipelines, follow-ups, viewings, commission and internal communication — the work that actually converts a listing.
Tenants, leases, renewals, maintenance tickets, documents and recurring payments after the sale is signed.
Property performance, agent performance and revenue in one model — then AI acting on it instead of just reporting it.
Buyers, tenants, agents, brokers, property managers and owners are not separate products. They are twelve views of the same property record — which is exactly how we architect the platform underneath them.
People the platform serves
What is being transacted
People who move the deal
Where it is written down
All four groups read and write the same property record. That single decision is what stops a property business from running on four disconnected tools.
Property software fails at the seams between functions, not inside them. These five systems are designed together so a lead, a listing and a lease are the same record everywhere they appear.
What buyers and tenants see first



Search that understands property language — not a generic text index. Filters, map browsing, saved searches and recommendations that keep a visitor moving toward an enquiry instead of back to a portal.
Turning interest into a viewing
New today
34
Assigned
28
Unattended
2
Every enquiry lands in one place with its source attached, gets deduplicated against existing records, and is assigned to an agent by rule rather than by whoever answers first.
The day an agent actually has

Agent workspace
Marina & JBR desk
Pipeline
A working surface rather than a reporting tool. Today's follow-ups, the pipeline in order, the conversation history, and a commission number the agent can trust without asking accounts.
Everything after the signature

Lease expiry · 42 days
Renewal notice queued
Maintenance · AC unit
Vendor assigned · SLA 24h
Rent instalment 3 of 4
Cleared
318
Units
94%
Occupied
11
Open tickets
2,140
Docs
Leases with dates that actually trigger something, maintenance that has an owner and a clock, documents where auditors can find them, and payments that reconcile themselves.
Where the money came from
Enquiries
1,284
Viewings
312
Deals
48
One model behind every number, so listing performance, agent performance and revenue reconcile instead of contradicting each other in three different exports.
Most property businesses do not need all of it in release one. Tell us where the leaks are and we will scope the sequence with you.
Property companies already own the data — enquiries, viewings, price history, chat logs, lease terms. AI is what turns that from an archive into something that qualifies a lead, prices a unit and moves the next step forward on its own.
One enquiry, end to end
The same four stages, running on a single real-world event.
Property inquiry
3BR · Dubai Marina · from the app
AI qualification
Budget, intent, timeline, financing signal
Lead score
87 / 100 — high intent
Agent assignment
Marina desk · least loaded · specialism match
WhatsApp notification
Buyer + agent notified, viewing slots offered

3BR Marina Residence
Dubai Marina · 1,840 sq ft · Ready
AI valuation range
AED 2.28M – 2.52M
Valuation drivers
“Three comparable 3BR units in this tower closed in the last 60 days. This one is priced 4% above the median. Suggest a viewing-first strategy for the two high-intent leads in the pipeline.”
Rank inventory against a buyer's behaviour, saved searches and budget instead of showing the newest listing first.
Read the enquiry and the conversation, extract budget, intent and timeline, and grade the lead before an agent picks it up.
Estimate price and rent from comparable units, district trends and unit attributes, with the drivers shown.
Answer property questions in the language the buyer asked in, day or night, from your live inventory — not a static FAQ.
Guide a buyer from first search to booked viewing, handling filters, comparisons and scheduling in conversation.
Continuously re-score the pipeline as behaviour changes so agents work the list in the right order.
Forecast which listings will stall, which leases are at renewal risk, and where enquiry volume is heading.
Generate consistent, on-brand listing copy in multiple languages from structured unit data and photos.
Extract terms, dates and parties from leases, title documents and contracts into structured, searchable fields.
Voice property search and call handling — capture the enquiry, transcribe it and log it against the property record.
Auto-tag property photos by room, condition and feature so search filters stay accurate without manual data entry.
Models are selected per problem, not per fashion — a gradient-boosted scorer where the data is tabular, a language model where the input is a conversation or a document. More on how we approach this in AI development.
Bring us the data you already collect. We will show you which of these AI features it can support today and which need a foundation built first.
Dubai buyers search by community before they search by anything else. Map-first discovery, district-level inventory and routing that sends an enquiry to the desk that actually covers that area.

Dubai Marina
Waterfront tower stock, high rental turnover
Interface demonstration. Districts and figures are examples, not live listings.
Dubai Marina
Apartment · Sale
AED 2.4M
3 Bed
JVC
Apartment · Rent
AED 95K/year
2 Bed
Palm Jumeirah
Penthouse · Sale
AED 22M
4 Bed
Jumeirah
Villa · Sale
AED 12.5M
4 Bed
Dubai Hills
Villa · Sale
AED 9.75M
5 Bed
Business Bay
Apartment · Rent
AED 185K/year
1 Bed
Downtown Dubai
Apartment · Sale
AED 3.1M
2 Bed
A buyer enquiring, an agent working that enquiry, and a property manager living with the result afterwards — three interfaces reading and writing the same underlying data.
Search → Property → Inquiry
148 results

AED 2.4M
3BR · Marina

AED 185K/yr
2BR · Downtown

AED 1.85M
2BR · JVC
Lead → Follow-up → Deal
Leads
12
New
7
Due
1
Overdue
Property → Tenant → Maintenance
Portfolio
318
Units
94%
Occupied
11
Open tickets
6
Due this week
Buildings

Marina Tower A
96 units · 92% occupied

Bay Residences
124 units · 97% occupied
The shape of an engagement we run repeatedly: consolidate the data model first, then put discovery, CRM and AI on top of it.
Conceptual reference project. This is the architecture and sequence we apply, not a delivered client engagement. Client name and result metrics are marked placeholders and will be replaced with verified figures from a real, permissioned case study.

Property marketplace & brokerage platform
RESULT METRIC
Enquiry-to-viewing conversion
RESULT METRIC
Agent response time
RESULT METRIC
Leads captured per month
RESULT METRIC
Manual data entry removed
Real estate products we have built and shipped — running in production, on the web and in both app stores.
Placeholder imageryProperty platform · Web, iOS & AndroidDubai & the UAE
A property search and sales platform for a Dubai-based agency operating across all seven emirates, delivered as a website and a native app on both stores.
Buyers browse ready, off-plan and commercial inventory — apartments, villas, townhouses, penthouses, retail and office space, from studios up to seven bedrooms — filtered by emirate, property type, bedrooms and budget. The platform carries listings from a large roster of UAE developers, a mortgage calculator for buyers working out affordability before they enquire, and consultation booking that routes an enquiry to the agency’s sales team.
In the product
Project imagery is placeholder photography and will be replaced with product screenshots. Add further projects by appending to the list in Portfolio.tsx.
Discovery, sales, operations, management and intelligence — designed as one product family rather than modules bolted together over three years.

Inventory as a first-class record — media, availability, handover status, pricing history and the agents attached to it.

Today, overdue and this week — the working surface an agent actually opens.

District-first browsing with draw-to-search and saved areas.

Gallery, specification, agent, enquiry

One inbox, deduplicated, routed

Listing, agent and revenue performance

Scoring, matching, valuation, chat

Rent, deposits, instalments, receipts

Leases, tenants, maintenance, documents
Photography is placeholder imagery for layout purposes and will be replaced with product screenshots from your build.
Salesforce can be bent into a property CRM. It takes eighteen months and a consultant on retainer. A CRM that starts from the property record does the same job on day one — and knows what a viewing, a handover and a commission split are.
Deal pipeline
Stages are enforced, and leaving one requires a reason code.
Assigned agent · avg. first response 11 minThe sale is one afternoon. The lease is three years of renewals, maintenance tickets, instalments and documents somebody has to be able to find. This is the half of the platform that decides whether the owner renews the mandate.
Unit lifecycle
Demo dataProperty payments are not e-commerce checkouts. They recur, they hold inventory, they are held in trust, they are staged against milestones, and they get split between people. Each needs its own model in the system.
Interface demonstration only. Payment providers, escrow arrangements and settlement rails are selected per client according to licensing and jurisdiction.
Recurring schedules aligned to the lease, with reminders before the date and arrears tracking after it.
AED 46,250
Illustrative figure for the interface.

Attached to
Chosen for what a property platform does under load: heavy media, geospatial search, long-lived records and integrations that cannot be allowed to drop a payment.
Property portals, admin panels and agent consoles
Buyer, agent and property manager apps
Listings, CRM, leases and payment logic
Infrastructure that survives a launch campaign
Scoring, valuation, language and vision
The property record and everything hanging off it
District search, geocoding, draw-to-search
Recurring, staged and split payment flows
The stack is picked per problem, not per habit — more on how we make those calls in web development and cloud & DevOps.
Property platforms get built the way property gets built: survey, design, structure, construct, inspect, hand over, maintain.

We map how your property business actually runs today — where leads arrive, who touches them, what lives in spreadsheets and what the portal feed is doing to your data. The scope comes out of that, not out of a feature list.

Wireframes and then interface design for every role in the system — buyer, agent, property manager, admin. Property search gets the most attention, because it is the screen that decides whether an enquiry ever happens.

The property record and everything hanging off it: units, media, leads, agents, leases, payments, documents. Get this wrong and every feature after it is a workaround.

Built in slices that are demonstrable, not in modules that appear at the end. Discovery and listings first, then lead capture and CRM, then management and payments, then AI on top of data that already exists.

Functional, performance, security and device coverage — plus the property-specific cases that break systems: duplicate leads, double-booked units, lease dates crossing a renewal, payments arriving out of order.

Data migration from whatever you are on now, store submissions, monitoring and alerting in place before traffic arrives, and a rollback that has been rehearsed rather than assumed.

What the analytics say next. New districts, new inventory types, deeper AI, more automation — and the maintenance that keeps a platform on supported OS versions and current security patches.
Honestly: it depends, and anyone who answers with a fixed number before seeing your operation is guessing. What does not vary is which decisions move the figure. These are them, roughly in order of impact.
Web only, or web plus iOS and Android — and whether the apps are native or cross-platform.
Single-agency inventory is straightforward. Multi-agency listings, portal feeds and subscription tiers are not.
A pipeline is small. Assignment rules, SLAs, commission splits and team hierarchies are the real work.
Leases, renewals, maintenance, vendors and documents effectively add a second product.
A chatbot on existing data is modest. Trained valuation or scoring models depend on the data you already hold.
Pins on a map are cheap. Draw-to-search, clustering at scale and geospatial performance are not.
Recurring schedules, instalment plans, deposits held in trust and reconciliation each add scope.
Roles, permissions, approval flows, audit trails and the reporting your operations team will ask for on day two.
Portals, WhatsApp Business, e-signature, accounting, marketing tools — each is an integration with its own edge cases.
Data residency, document handling, access control and the audit position your legal team needs.
A thousand listings and a hundred thousand behave differently. Media, search and indexing costs move with it.
OS updates, dependency and security patching, monitoring and the support model you need after launch.
Bar lengths indicate relative impact on scope, not price. They are a planning aid, not a quotation.
Walk us through what you sell, manage or rent, where your leads come from and what your team is doing by hand. We will come back with a scope, a sequence and a figure tied to both.
Not speculation — four shifts already underway in property software, and the specific jobs each one does inside a real estate business.

The filter panel is being replaced by a sentence.
"Two bed, sea view, ready, under two million, near a metro" resolved against live inventory rather than a keyword index.
The same query spoken in the car on the way to a viewing, with results waiting when the buyer arrives.
A buyer taken from first question to booked viewing in conversation, with the agent brought in at the right moment.

Valuation moving from a quarterly exercise to a live figure.
Where a unit or a district is heading based on comparable transactions, absorption rate and enquiry volume.
An instant estimate on any unit in the portfolio, with the drivers shown so an agent can defend it in a meeting.
Scores that move as behaviour changes, so the pipeline reorders itself instead of ageing quietly.

Models reading the photographs and the tours you already produce.
Rooms, condition, finish level and features auto-tagged from listing photos, keeping search filters accurate without data entry.
Walkthroughs treated as searchable content — a buyer asks about the kitchen and lands at the kitchen.
Leases, title documents and contracts parsed into structured fields with dates that can trigger workflow.

Management shifting from reactive to scheduled.
Maintenance predicted from asset age, service history and sensor data instead of waiting for a tenant complaint.
Tenants at risk of leaving flagged early enough that a renewal conversation is still possible.
Vendor dispatch, SLA escalation and owner reporting running without a coordinator copying data between systems.
Dubai is one of the most competitive property markets a software team can build for. Inventory turns over quickly, several agencies are frequently marketing the same unit, and the buyer is often in another country and another timezone. The agency that answers first, in the buyer's language, with the right three comparable units attached, tends to be the one that gets the viewing. That is a software problem long before it is a sales problem.
It is also a market where the first interaction is almost always mobile. A buyer scrolls a listing on a phone, saves it, comes back to it on a laptop, and messages an agent on WhatsApp — and expects all three of those to be the same conversation. Real estate mobile app development for this market is not a smaller version of the website; it is where the relationship actually starts.
As a PropTech development company working with property businesses in Dubai and across the UAE, most of what we are asked to fix falls into the same three categories: leads that arrive faster than the team can process them, property data spread across a portal feed and three spreadsheets, and no reliable read on which listings or channels actually produced revenue. Real estate software development for this market means solving those first and building features on top of the result.
What comes after is where AI earns its place. Once enquiries, viewings, deals and property data live in one model, AI real estate software can qualify a lead before an agent opens it, keep a valuation current, answer a buyer at 2am in Arabic or Russian, and tell an operations director which districts are converting. UAE real estate software development is at the point where that is a competitive expectation rather than an experiment.
We build these platforms end to end — property marketplaces, buyer and agent mobile apps, real estate CRM, AI property management software, admin platforms and the cloud infrastructure underneath them. If you would rather talk it through than read about it, get in touch.
Market statistics are intentionally left blank. Each slot below will carry a figure only once it can be attributed to a named, verifiable published source.
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Not claims about being the best — capabilities you can interrogate on a call and hold us to during delivery.
AI is designed into the data model, not bolted on afterwards. Lead scoring, valuation, matching and document parsing are planned against the schema in architecture, which is why they can ship in months rather than in a second project.
Discovery starts with how your property business runs, and scope is argued about before it is built. You get a sequence with a reason attached to each release, and a team that will tell you when a requested feature is going to cost more than it returns.
Heavy media, geospatial search, long-lived records and integrations that cannot drop a payment. The data model is designed for the relationships a property business actually has, then infrastructure is sized for launch traffic rather than for the demo.
Buyer, agent and admin applications, the platform behind them and the infrastructure they run on, from one team. After launch: monitoring, OS and dependency updates, security patching and a roadmap that continues.
The questions property companies ask us most often, before the first call.
There is no single figure, and any company quoting one before seeing your operation is guessing. Cost is driven by how many platforms you need, how complex the marketplace is, whether CRM and property management are in scope, which AI features you want, and how many third-party systems have to be integrated. A focused property discovery app with lead capture is a fundamentally different budget from a multi-agency marketplace with a CRM, property management, payments and AI. We scope it in discovery and give you a figure tied to a written scope and a release sequence.
A well-defined first release — property listings, search, lead capture and an admin panel — typically runs a few months. A full platform with buyer and agent apps, a real estate CRM, property management, payment flows and AI features runs considerably longer, and we build it in demonstrable slices rather than disappearing until the end. The timeline is agreed in architecture, once the data model and integration list are known rather than assumed.
Yes. Multi-agency listings, agency onboarding, subscription or listing-credit models, portal feed ingestion, advanced and map-based search, saved searches, enquiry routing and an admin platform to moderate all of it. The hard part of a marketplace is rarely the listings — it is deduplication across feeds, availability that stays truthful when several agencies market the same unit, and search performance as inventory grows. Those are designed in from the start.
Yes, and we generally recommend a purpose-built one over bending a generic CRM into shape. A property CRM has to understand a viewing, a unit, a lease, a handover and a commission split as first-class concepts. We build lead capture across every channel into a deduplicated inbox, rule-based agent assignment, an enforced pipeline with reason codes, follow-up SLAs, commission calculated from deal data, and communication logged against both the lead and the property.
Yes — into a new build or on top of a platform you already run. Common starting points are AI lead qualification and scoring, property recommendations, automated valuation with visible drivers, a chatbot answering from live inventory, automated listing descriptions, and document intelligence for leases and contracts. What is achievable on day one depends on the data you already hold, so we audit that before promising a model.
Yes. Tenant management, lease lifecycle with renewals and expiry alerts, maintenance ticketing with vendor assignment and SLA tracking, recurring and staged payment schedules, document management with permissions, and owner reporting. This is usually where a property business gets the fastest operational return, because it removes the most manual coordination.
Yes. Developer requirements differ from brokerage requirements: off-plan inventory, staged payment plans tied to construction milestones, unit release management, handover tracking, snagging, and a buyer portal that has to survive a launch weekend without falling over. We build for that traffic profile and for the reporting a developer's sales and finance teams need.
Yes. District and community browsing, radius and draw-to-search, clustering that stays fast as inventory grows, geocoding, commute and proximity filters, and saved map areas. Map search is the primary discovery surface for most Dubai buyers, so it gets treated as a core feature with real performance work behind it rather than as pins dropped on a tile layer.
Yes — and they should be built together. A buyer app, an agent app and an admin platform reading and writing the same property record is the entire point; three separately commissioned apps synchronising over exports is the problem most of our real estate clients arrive with. We design the shared data model first, then the role-specific interfaces on top of it.
Yes. Ongoing maintenance covers monitoring and alerting, OS and dependency updates, security patching, performance tuning as your inventory and traffic grow, and continued feature development against a roadmap. Property platforms are long-lived systems with real money moving through them; they need an owner after launch, not just at it.
Tell us what you're building, what you're trying to automate, or where your property business needs a better digital experience.
Prefer email or a written brief? Contact the team.