PropTech built for the speed of Dubai

Your Next Deal
Called. Nobody Answered.

A lead clicks your ad and a clock starts. Within 5 minutes, the probability of qualifying them drops by 80%. The average agent calls back in 47 hours. Simmer calls in 60 seconds, in the lead's language, with their property matches and mortgage breakdown already prepared.

0sResponse time from ad click
0%Win rate when first to contact
0%Drop in qualification after 1 hour
0hrsIndustry average response time

The gap between interest and contact is where real estate deals die.

A buyer in Moscow clicks your Palm Jumeirah listing at 11pm local time. You are asleep. By the time you see the notification in the morning, they have spoken to three other agents and visited two showrooms.

This is not a story about effort. Your agents work hard. This is the mathematics of first-contact advantage: the agent who responds first wins the deal 78% of the time, regardless of the quality of the property.

Simmer does not close deals. Your agents do. Simmer ensures that when your agent picks up the phone, they are talking to a qualified buyer who already has the property brochure, the school report, and the mortgage breakdown in their WhatsApp.

What happens in the 60 seconds after a lead clicks your ad.

T + 0:00
Lead captured
A prospect clicks your Meta or Instagram ad. The webhook fires. Simmer creates a lead record and queues the AI caller. Total latency: under 200ms.
T + 0:58
AI calls the lead
Vapi.ai initiates the call. The AI identifies the lead's preferred language from their profile and opens in Arabic, Hindi, Russian, Mandarin, or English, with adaptive tone matching from the first sentence.
T + 1:30
Qualification begins. Four agents fire in parallel.
While the AI asks about budget, lifestyle, and investment horizon, four specialized research agents activate simultaneously. The lead is answering questions. The system is already finding their perfect property.
T + 2:45
Brochures arrive on their phone
WhatsApp delivers property brochures matched to stated preferences, a school catchment report for families, and an EMI breakdown in their local currency. Mid-call. Before they have hung up.
T + 4:10
Appointment confirmed
The AI proposes three calendar slots, the lead chooses one, and Google Calendar sends confirmations to both parties. Your agent has a meeting in their diary before they have seen the lead come in.
Day 2–14
Automated nurture runs in the background
If no appointment is booked, multi-channel follow-up sequences run across WhatsApp, email, and AI callbacks for 14 days. No lead goes cold without a fight.
Meeting day
Your agent receives a complete dossier
Full call transcript, qualification summary, property interests, mortgage data, and school preferences. The agent arrives knowing more about the buyer than most closers learn in three meetings.
The Parallel Engine

While your AI is talking, four agents are already researching.

A human agent can ask questions or do research. Not both, not simultaneously. Simmer does both at once, across four specialized systems, in real time.

Agent 01

School Mapper

Pulls school ratings, catchment boundaries, tuition fees, and commute times from Google Maps. Families make school access a primary purchase criterion. Simmer delivers the answer before they ask.

Agent 02

Mortgage Calculator

Generates EMI breakdowns tailored to the lead's budget, preferred currency, and local lending rates. Delivered to WhatsApp mid-call so the monthly cost is concrete before the conversation ends.

Agent 03

Property Recommender

Filters the full inventory against stated preferences in real time. Surfaces the three best matches before the call ends. The lead receives a shortlist, not a catalogue.

Agent 04

Profile Builder

Captures intent signals, investment horizon, family composition, and conversation sentiment. Writes it directly into the CRM. When your agent meets the buyer, the dossier is already there.

0B

AED in Dubai property transactions in 2023 alone, growing at 20% year on year. The fastest-growing luxury market on earth.

90% of Dubai buyers are international. They browse in Russian, Mandarin, Arabic, and Hindi. They are in different time zones. They close in hours when the experience is right, and disappear in minutes when it is not.

Today, the agencies winning in this market are the ones that respond fastest and speak the right language. They do it by hiring more people. That approach does not scale. Simmer does.

We are starting in Dubai. The same problem exists in Singapore, London, Miami, and every international gateway city where buyers and agents do not share a native language or a timezone.

Your AI agent speaks their language. From the first word.

🇦🇪Arabic
🇬🇧English
🇮🇳Hindi
🇷🇺Russian
🇨🇳Mandarin

We are not building a better chatbot. We are building the response layer for how real estate is sold in every international market on earth.

The agents who deploy Simmer first will qualify more leads in a week than their competition does in a month. First-mover advantage in a market this size is measured in careers, not quarters.

Get early access before we open to the market.

We are onboarding a small number of Dubai agencies in the first cohort. Early partners will shape the product and lock in founding-tier pricing.