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Anastasiia Shulga.
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AI ProductConcept

Terrain

A property intelligence platform that turns fragmented market data into confident decisions. Neighborhood scores, live comps, and price signals — all in one place.

Role

Product, System

Year

2026

Scope

Dashboard · Maps · Data visualisation

TerrainReal Estate Intelligence

Market intelligence,
not market noise.

Neighborhood scores, live comps, and price signals — synthesized into confident decisions for buyers, agents, and funds.

847
Markets
2.4M
Properties
Real-time
Data feeds
Tribeca
94
West Village
91
SoHo
88
DUMBO
87
Chelsea
85
Flatiron
83
Brooklyn Hts
82
Park Slope
80
Cobble Hill
79
LES
78
Greenpoint
76
Williamsburg
74

Real estate data is abundant. Intelligence is not.

Buyers drown in listing aggregators. Agents juggle three CRMs and a spreadsheet of comps. Institutional funds pay six figures for market data that arrives a quarter late. The problem isn't access — it's synthesis.

Terrain is a property intelligence layer — not another listing tool. It takes fragmented data from MLS feeds, public records, transit APIs, school ratings, and price histories, and distills it into actionable scores, comparable analysis, and market signals.

Approach

01
Aggregate
Pull from MLS feeds, public records, permit history, transit APIs, school ratings, and census data — unified into a single property graph.
02
Score
A composite model weights transit, schools, safety, walkability, and price momentum into a single 0–100 Terrain Score per neighborhood.
03
Surface
A dark-mode-first intelligence layer that rewards exploration — color-coded maps, comparable grids, trend charts, and AI-written summaries.
01 — Neighborhood Intelligence

Every block, scored.

Twelve dimensions of livability and investment quality, compressed into a single actionable number — with full sub-score transparency so you know exactly why a neighborhood ranked where it did.

Tribeca
Composite score · 94/100
Transit96
Schools88
Safety94
Walkability98
Avg $/sqft$4,200
YoY change+3.2%
02 — Comps Engine

Comparables that compare.

Pull relevant sold and active listings adjusted for bedroom count, square footage, and recency. The subject property is always pinned for reference — no mental math required.

Subject
42 Mercer St #4A
Active listing
Beds
2 bd
Baths
2 ba
Sqft
1,340
Price
$4.82M
$/sqft
$3,597
18 Greene St #3B
3 mo ago
Beds
2 bd
Baths
2 ba
Sqft
1,280
Price
$4.55M
$/sqft
$3,555
-1.2%
55 Wooster St #6A
1 mo ago
Beds
2 bd
Baths
2 ba
Sqft
1,410
Price
$5.10M
$/sqft
$3,617
+0.6%
33 Mercer St #5C
6 mo ago
Beds
3 bd
Baths
2 ba
Sqft
1,620
Price
$5.85M
$/sqft
$3,611
+0.4%
03 — Market Signals

Price trajectory, not price tags.

Twenty-four months of price-per-sqft momentum at the neighborhood level, benchmarked against the borough average. The trend line tells the story the listing price never does.

$2.8k$3.2k$3.6k$4.0kJanJunDecJanJunDec
SoHo
Manhattan Avg
04 — Live Intelligence

Ask anything about the market.

Natural language queries answered as structured data cards — neighborhood movers, live comps, price signals — not paragraphs.

Terrain AI
Live
Ask about any property or market…
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