LREIX

Land Risk Intelligence Infrastructure

Institutional Grade Evaluation

CIN: U62099KA2026PTC218314

01 // The Problem

Land is digitized. It is not risk-intelligent.

Visibility ≠ Enforceability

Government portals show raw records, not structural enforceability.

Latent Risk

Authority cancellations (BDA/KIADB) routinely happen years post-registration.

No standardized survivability scoring exists.

Collateral collapses → NPAs → Litigation

Billions in capital deployed on incomplete risk visibility.

02 // Market Timing

The Convergence of Data & Demand

01

Rapid Digitization

Land records — Bhoomi, e-Khata formatting

02

Alternative Assets

Rise of fractional & tokenized land platforms

03

Institutional Shift

Increasing exposure to land-backed structured credit

Digitization increased record visibility — → But it did not create predictability.

03 // The Insight

Redefining Title Validity

Title validity ≠ Authority survivability

The illusion of safety:

Parcel is fully registered
Tax compliant and active
Digitally visible on state portals

…yet simultaneously liable to cancellation by overarching authorities.

Our Approach

We don't just verify static documents. We simulate structural enforcement risk.

We model future authority behavior.

04 // The Solution

LREIX Risk Engine

An AI-powered land survivability platform.

01

Aggregates

Public land, registration, zoning & court data

02

Normalizes

Transforms raw data into structured legal risk signals

03

Detects

Identifies authority-origin land (BDA/KIADB)

04

Applies

Deep learning dispute prediction & escalation models

05

Outputs Resolution

PASS · ESCALATE · FAIL

05 // Product Architecture

End-to-End Pipeline

InputData Ingestion

→

Legal Signal Norm.

→

CoreAuthority Risk Class.

→

Dispute AI Model

→

Decision Rules

→

OutputEnterprise API

Probability

Authority Dispute Probability

Index

Cancellation Risk Index

Key Metric

Survivability Score

(1Y / 3Y / 5Y)

Trace

Explainability Trace

06 // Product Prototype

Live System Demonstration

Witness the risk engine in action.

07 // Target Market

Institutional Grade Focus

Primary

Direct Lenders

Commercial Banks
NBFCs (Non-Banking Financial Companies)
Housing Finance Companies

Secondary

Investors & Funds

Institutional investors & AIFs
Large-scale land aggregators
Infrastructure & Real Estate funds

India land-backed credit market: Multi-trillion ₹ exposure

Entry: Karnataka → Scale: Pan-India

08 // Business Model

B2B SaaS + Infrastructure

We sell capital protection, not generic reports.

01

Per-parcel Evaluation

Transaction-based revenue per individual risk assessment.

02

Enterprise API Access

Recurring revenue subscriptions for deep institutional integration.

03

Volume Tiers

Scaled pricing architectures optimized for high-throughput lenders.

04

Custom Integrations

Tailored on-premise or dedicated cloud deployments for major banks.

09 // Competitive Landscape

Optimizing for Enforceability

Capability	Incumbents	LREIX
Document Retrieval	Landeed	✓
Title Reports	TEAL / AITSR	✓
Legal Services	Settlin	✓
Authority Survivability Modeling	None	Exclusive

Others optimize for documentation.

We optimize for enforceability.

10 // Traction

Early Stage Progress

Portal ingestion built

Bhoomi integration complete

Risk framework designed

LII + Authority Layer mapped

Phase 1 architecture

Defined & scaling locally

Bank-aligned logic

Decision pathways structured

Current Go-To-Market Stage

Infrastructure Build
↓
Pilot Institution Discussions

11 // The Vision

As land systems digitize and unavoidably move toward blockchain architectures:

The missing layer will not be the records themselves.
It will be their legal interpretation.

LREIX becomes the default land risk infrastructure layer for institutional capital.

12 // Long-Term Expansion

4-Phase Execution Roadmap

01

Land survivability scoring engine

02

Escrow + mutation automation

03

Fractional asset risk certification

04

Cross-border land risk intelligence

India → Emerging Markets → US Title Risk Layer

13 // Why We Win

The Competitive Moat

1

Authority-first risk modeling paradigm

2

Escalation-based legal decision logic

3

Deterministic, explainable AI (no black-box scoring)

4

Designed expressly for institutional credit committees

5

Built solely at the intersection of Legal + AI + Infrastructure

14 // The Ask

Partner With Us

Seeking Synergy In:

Strategic banking & NBFC partnerships
Pilot credit institutions
Early-stage capital for core data infrastructure
Technical/Legal advisory board additions

"We are building the future enforcement filter for land-backed finance."

Contact Us

WWW.LREIX.TECH