Eat & drink
Hawker centres to fine dining
Food centres, coffee shops, cafés, restaurants and late-night options, with opening hours, cuisine and price bands.
Location intelligence · Southeast Asia
Every address,
read in context.
EstateAgent maps what surrounds a property: where people eat, how they get around, which schools and clinics are in reach, how the street lives day to day. We turn that into clean data, fine-tuned models and AI agents your teams can put to work.
- Life dimensions
- Eat · Live · Move · Heal · Learn
- Delivery
- Data → Models → Agents
- Home base
- Singapore
Eat & drink
Transit
Schools
Health
Daily life
Sample read-out
1.29°N 103.83°E
3-room resale · Tiong Bahru
- 05 minMRT exit on foot
- ≤1 kmPrimary schools in range
- 10 minPolyclinic by bus
- HawkerMarket & food centre next door
Built for the region
- Singapore
- Malaysia
- Thailand
- Indonesia
- Vietnam
- Philippines
The data
Price is one number.
The neighbourhood is the rest of the story.
We collect, reconcile and geocode the places that shape daily life around a home, then measure them the way residents feel them: by walking minutes, transit hops and school catchments rather than straight-line distance.
Move
Commutes, not crow-flies
MRT, LRT and BTS stations, bus stops and exits. Walk and transit isochrones to CBDs, business parks and airports.
Learn
Schools and catchments
Preschools through international schools, plus the 1 km and 2 km rings that drive primary-school registration in Singapore.
Heal
Care within reach
Hospitals, polyclinics, GP and specialist clinics, pharmacies and eldercare, with travel time from each address.
Live
The building and the block
Project and unit attributes, tenure, age, transaction history, rental signals and planned developments nearby.
Everyday
The errands and the green
Supermarkets, wet markets, malls, parks, park connectors, gyms and community clubs: the small things that make a place liveable.
Solutions
From raw places to a working agent,
in three stages.
Start at the stage you need. Each one stands on its own, and each one feeds the next.
-
01
Data cleaning & enrichment
We merge your listings, CRM or portfolio with our neighbourhood layers. Addresses are normalised, duplicates resolved, coordinates fixed and every record enriched with proximity features.
- Address matching across postal codes, block numbers and local spellings
- Walk, drive and transit travel-time features
- Delivered as tables, APIs or a feature store
You get A clean, enriched dataset
-
02
Model fine-tuning
We fine-tune language and predictive models on your market's vocabulary and data, so they understand that "near MRT" in Bishan and in Bangkok are different promises.
- Valuation, rental-yield and demand models with location features
- LLMs tuned for listings, enquiries and local terms
- Evaluation sets built from your own cases
You get Models you own and can deploy
-
03
Agent customisation
We build agents that use the data and the models as tools: answering buyer questions, drafting listings, screening sites and preparing reports, inside the workflows your teams already use.
- Grounded answers with sources for every claim
- Connected to your CRM, chat channels and internal tools
- Hosted in your cloud or ours
You get An agent in production
What an agent looks like
Ask the way your clients ask.
Buyers don't search by latitude. They ask for a short walk to the train, a good school nearby and a decent kopitiam downstairs. An EstateAgent agent turns that into a query over location data, checks it against live listings, and explains why each result fits.
- ToolsListings search, isochrones, school catchments, amenity scoring
- OutputRanked shortlist with reasons and sources
- ChannelsWeb chat, WhatsApp, Telegram, internal Slack
3-room resale under S$700k. Walking distance to an MRT, within 1 km of a primary school, and I want good hawker food nearby.
✓ listings.search · 3-room · resale · ≤ S$700k
✓ isochrone.walk · MRT exit ≤ 8 min
✓ schools.catchment · primary ≤ 1 km
✓ amenities.score · hawker centres ≤ 400 m
I found 14 flats that meet all four conditions. The three best fits:
- Toa Payoh Lor 14 min MRT · 2 schools · 3 hawkers
- Ang Mo Kio Ave 36 min MRT · 3 schools · 2 hawkers
- Clementi Ave 27 min MRT · 2 schools · 2 hawkers
Want me to compare their transaction history over the last 24 months?
Who it's for
Built for teams that price, sell and lend
against location.
Agencies & portals
Richer listings, neighbourhood summaries written in your house style, and buyer-assist agents that answer the questions agents get every day.
Developers & REITs
Site selection and feasibility with amenity gaps, catchment demand and commute access mapped before land is bought.
Banks, valuers & insurers
Location features for valuation and risk models, with explanations that hold up in credit and audit review.
Retail, F&B & healthcare
Footfall-relevant context for choosing the next outlet or clinic: who lives within ten minutes, and what they already have.
Provenance
Every data point carries its source and the date it was collected.
Privacy
Designed around Singapore's PDPA and equivalent rules across the region.
Ownership
Fine-tuned models and agents are yours to keep and deploy.
Book a demo
See your own market
through our data.
Tell us a little about your team and what you want to solve. We'll come back within two working days with a walkthrough built around addresses you care about.
- 30 minCall with our team, online
- LiveSample read-outs for your locations
- No costNo commitment needed