Landeed Launches ‘Terra’ to Transform Fragmented Indian Property Records into Decision-Ready AI Intelligence
New Delhi, June , 2026: Landeed, the Y Combinator-backed developer of India’s fastest property title search engine, has announced the launch of Terra. The newly unveiled platform is an AI-powered property intelligence layer designed to convert the nation’s highly fragmented land and property records into structured, actionable intelligence. Built to assist banks, NBFCs, developers, legal professionals, brokers, investors, and property owners, the system aims to streamline workflows where record-level diligence carries significant financial consequences, Landeed said in a press release.
The company highlights that India does not have a property data problem, but rather a property intelligence problem. While authoritative facts regarding property ownership, liabilities, transfers, and disputes already exist within government records, they remain scattered across various state portals, sub-registrar offices, revenue departments, municipal systems, and court databases. Compounded by multiple languages, varying formats, and decades-old document structures, the market has traditionally relied on secondhand claims, outdated PDFs, screenshots, brochures, and incomplete diligence.
Terra has been introduced to close the gap between what is claimed about a piece of real estate and what the primary records actually show. By doing so, it establishes a new category of property intelligence in India as a primary-source AI layer that reads, connects, and reasons across land records, legal documents, registry data, transaction signals, and regulatory information. From a single input—such as an address, survey number, document, listing URL, or plain-language question—the platform can retrieve and interpret property data across ownership, title, encumbrances, liabilities, litigation, transaction history, regulatory signals, and document risk in seconds.
The platform is built upon a massive corpus of over 773 million land and property documents, providing primary-source coverage that spans 26 states and 4 union territories. Developed over more than three years, the system combines direct registry integrations, structured datasets, document intelligence, domain-specific OCR, continuous refresh systems, and AI models trained specifically on Indian real estate records. This digital infrastructure is further reinforced by Landeed’s established on-ground verification network, which helps bridge the gap between digital records, local registry realities, and physical sub-registrar workflows.
Beyond mere access, Terra addresses the complex challenge of legibility, as Indian property records frequently exist in regional scripts, scanned legacy formats, inconsistent layouts, and state-specific legal structures. The AI reads, classifies, and connects these disparate elements, turning a property’s paper trail into a unified intelligence layer. The system is engineered to support and accelerate professional diligence rather than replacing it, compressing research tasks that historically took days into a single interface. The technology is already being utilized across institutional and enterprise workflows, including property-backed lending, developer diligence, and large-scale title verification with leading financial institutions and real estate stakeholders.
Commenting on the launch, Sanjay Mandava, Founder & CEO, Landeed, said: “India does not have a property data problem. It has a property intelligence problem. The records exist, but they are scattered across states, formats, languages, and systems. Terra is the missing intelligence layer for Indian real estate, one that can read, connect, and reason across primary records so banks, developers, lawyers, brokers, investors, and owners can make better decisions in seconds instead of days.”
He added: “Property risk in India often comes from the gap between what people say about a property and what the records actually show. The truth is usually sitting inside a sub-registrar’s office, a revenue record, a court filing, or a municipal system. Terra brings that paper trail together and makes it legible. It is not another opinion about a property. It is a way to get closer to the record itself.”
Additionally, the platform introduces a natural-language query layer that allows users to interrogate property data directly. Instead of navigating multiple portals, formats, and legal documents, users can ask direct questions about a property and receive structured answers backed by the relevant government records. As the Indian real estate ecosystem increasingly shifts from relationship-driven decision-making to data-driven infrastructure, the platform aims to become a foundational intelligence layer for faster transactions, better risk assessment, improved capital flow, and greater overall transparency.
