BhoomiScore A Data-Driven Credit Profile for Every Inch of Indian Land Court Records × Parcel Geometry × Encumbrance Flags — One Parcel File · Every Flag Cited · In Seconds THE PROBLEM India registers deeds but never guarantees title — ownership is presumptive and always challengeable. The result: ~66% of pending civil cases are land/property disputes, 51.9M land cases pending before courts (Feb 2025), ~25% of Supreme Court judgments involve land, and every lender, buyer and advocate re-verifies the same facts manually — one n5,000–25,000 file at a time. WHY NOW — THE WINDOW IS OPEN 98.5% of rural Records of Rights digitised; 36 cr+ parcels assigned ULPIN 'Bhu-Aadhaar' IDs (Nov 2025). n875 cr DILRMP outlay; 3.29 lakh villages drone- surveyed under SVAMITVA; 3.10 cr property cards issued. 27.6 cr+ court records exposed via eCourts / NJDG APIs. 28 States/UTs on NGDRS national deed-registration platform. Urban land-records digitisation targeted by 2027 — the high-value transaction base. Digitised. ID'd. API-reachable. The private intelligence layer can be built now — and not before. THE PRODUCT — THE CREDIT FILE, FOR LAND One persistent Land Parcel Profile keyed by ULPIN + geo-polygon + survey number, rebuilt continuously. Seven components: Parcel Identity · Ownership Chain · Encumbrances & Charges (CERSAI-type) · Litigation History (eCourts/NJDG) · Public Notices · BhoomiScore Risk Flags (DISPUTED · ENCUMBERED · BROKEN TITLE CHAIN · UNDER ACQUISITION — every flag cited with source URL, case number, timestamp) · ParcelWatch alerts that convert a one-off report into a subscription. HOW IT WORKS — AND WHY IT'S DEFENSIBLE Fragmented public records in; one scored parcel file out. Ingestion & ETL from state RoR portals, eCourts/NJDG, registration data and SVAMITVA GIS layers → the secret sauce: a Parcel Matching Engine combining ULPIN keys, geometry intersection and AI fuzzy entity resolution to link vernacular court orders to specific parcels → a persistent Parcel Profile Store carrying a confidence score on every record → APIs, dashboards and consumer products on top. Court cases rarely cite ULPIN, so we publish a linkage precision benchmark (target ≥70% precision at launch) rather than claim perfection. Step 02 is the moat: it is a legal
- GIS + data-engineering problem at once, which is why every incumbent solved only their own third