The Engine

Deterministic Precision.
Probabilistic Intelligence.

Discovery and Close are powered by a composite architecture of generative AI agents and proprietary valuation models (LPU & YAM).

Our Intelligent Agents

Semantic Understanding (Scout)

Our agents don't just keyword match. They deconstruct user intent from unstructured prompts. Whether you ask for "a quiet place near a metro" or "high yield assets," the agent translates this into vector parameters.

Option Consolidation

The system scans thousands of listings, discarding noise. It clusters similar units, normalizes price data, and presents a consolidated "Golden Set" of options that statistically maximize your requirements.

"Find me a 3BHK in Whitefield under 2Cr..."
Agent Processing
> intent: buy
> type: 3bhk
> loc: whitefield
> budget_max: 2.0e7

LPU Model

Location • Project • Unit

Conventional platforms value properties at the zip-code level. Our LPU model calculates value hierarchically, assigning weights to the specific project reputation and unit-level attributes (floor, view, vaastu).

Vtotal =
w₁ · Score(Loc)Macro
+ w₂ · Score(Proj)Amenities
+ w₃ · Score(Unit)Specifics

YAM

Yield Asset Model

YAM forecasts the long-term potential of an asset. It integrates rental yield trajectories, inflation-adjusted appreciation, and maintenance depreciation to calculate the True Net Present Value (TNPV).

TNPV = R(t) × (1 + g)n
(1 + r)n
R(t)Rent
gGrowth
rDiscount

Experience the technology in action.