Segment, density, unit mix and target apartment sizes.
Turn a plot of land into a defensible investment decision.
MIQYAS combines local market evidence, project assumptions and downside testing to answer one question clearly: what should I build here to maximize risk-adjusted return?
Launch price per m² and market positioning.
Revenue, profit, sell-out, ROI and indicative IRR.
Price and construction-cost downside scenarios.
Describe the site. MIQYAS builds the thesis.
Change the assumptions and the recommendation recalculates instantly. The goal is to make the decision logic visible, not hide it behind a black box.
BUILD
Mid-Premium ResidentialEconomics remain attractive with a manageable downside profile.
Recommended project concept
MIQYAS recommends a product, not just a price.
| Unit | Mix | Target size |
|---|
Development economics
A compact investment view makes the recommendation testable.
Downside stress test
What happens if prices fall or construction costs rise?
| Scenario | Revenue | Cost | Profit | ROI |
|---|
Prototype note: the economics engine uses simplified demo assumptions. It demonstrates the intended decision workflow and is not a certified valuation or investment recommendation.
Baku residential market explorer.
Explore the market evidence layer that supports development recommendations.
Prototype centroids only. Production MIQYAS should use listing coordinates and verified GIS layers.
Analyze an apartment with transparent comparables.
This supporting module shows how MIQYAS turns comparable listing evidence into an estimated range.
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Comparable properties
Similarity favors location, room count, size and building characteristics.
| ID | District | Rooms | Area | Floor | Building | Price | AZN/m² | Similarity |
|---|
The analytical layer between raw listings and a development decision.
MIQYAS is designed to explain what the market data means for a specific site — not simply display listings.
Residential listing, location, pricing and rental evidence.
Standardize locations, remove duplicates and treat outliers defensibly.
Comparables, market benchmarks, pricing and project economics.
Convert the evidence into a project concept, risk view and recommendation.
“If I have this land, what should I build here to maximize risk-adjusted return?”
That question drives the product hierarchy. Apartment valuation and market exploration support the development decision rather than replace it.
- Comparable-project and apartment evidence
- Location and accessibility features
- Target price and sell-out prediction
- Recommended segment and unit mix
- Construction economics and downside scenarios
Simple enough to demo. Structured enough to scale.
This public MVP intentionally uses transparent, deterministic demo assumptions so judges can interact with the full decision flow even before the production model and scraper are finalized.
Real Baku listings, granular coordinates, project inventory, historic observations, construction costs and verified transaction evidence where available.