The Infrastructure Behind the Score
Every Title Risk Score LREIX produces is backed by a defined data pipeline, not a black box. Here's what's live, what's in progress, and how it's secured.
Government Record Sources
Bhoomi — Karnataka Land Records
LiveAutomated RTC and mutation retrieval by survey number.
Kaveri — Registration & Encumbrance Certificates
AssistedDirect automated retrieval is blocked by CAPTCHA on the portal; we're integrating a licensed document-retrieval partner to close that gap.
BBMP / BDA — Urban Property & Layout Records
In DevelopmentOur urban scoring engine is being built and tested against real PIDs and layout records.
eCourts — Litigation Records
PlannedPlanned for the litigation-exposure layer.
Karnataka GIS / KGIS — Spatial Layers
PlannedPlanned for non-revenue land and encroachment detection.
AI-Powered Cross-Referencing
AI processing runs on Claude (Anthropic) via AWS Bedrock, Mumbai region — keeping land and personal data within India. The model cross-references documents and government records, flags inconsistencies, and produces a structured, component-level Title Risk Score rather than a single opaque number.
Transparent, Bilingual Scoring
Every score is generated in English and Kannada, on a 0–100 scale, broken into transparent components — so a credit committee or lawyer can see why a score landed where it did, not just what it is.
Built for Regulated Workflows
Our architecture is built around encryption in transit and at rest, role-based access, and a full audit trail for every report generated. We're working toward ISO 27001 and SOC 2 as the platform moves deeper into regulated bank workflows — not claiming them today.