Landeed, a Y Combinator-backed company building India’s fastest property title search engine, has announced the launch of Terra, an AI-powered property intelligence layer that converts India’s fragmented land and property records into structured, decision-ready intelligence for banks, NBFCs, developers, legal professionals, brokers, investors, and property owners.

India does not have a property data problem. It has a property intelligence problem. The authoritative facts about a property already exist in government records: who owns it, what is owed against it, what has changed hands, and what is disputed. But those records are scattered across state portals, sub-registrar offices, revenue departments, municipal systems, court databases, languages, formats, and decades-old document structures. Meanwhile, the market often runs on secondhand claims, outdated PDFs, screenshots, brochures, and incomplete diligence.

Terra is built to close the gap between what is claimed about a property and what the primary records actually show.

In doing so, Terra introduces a new category of property intelligence in India: 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, Terra retrieves and interprets property intelligence across ownership, title, encumbrances, liabilities, litigation, transaction history, regulatory signals, and document risk. Terra helps users move from raw records to decision-ready answers in seconds.

Terra is built on a corpus of 773M+ land and property documents, with primary-source coverage spanning 26 states and 4 union territories. Built over more than three years, it combines direct registry integrations, structured datasets, document intelligence, domain-specific OCR, continuous refresh systems, and AI models trained specifically on Indian land and property records. This is reinforced by Landeed’s on-ground verification network, built across years of real property workflows, which helps bridge the gap between digital records, local registry realities, and what actually happens at the property and sub-registrar level.

The harder problem Terra solves is not access alone, but legibility. Indian property records often exist in regional scripts, scanned legacy formats, inconsistent layouts, state-specific legal structures, and fragmented government systems. Terra reads, classifies, connects, and reasons across these records, turning a property’s paper trail into a unified intelligence layer.

Terra is built for workflows where record-level diligence carries real financial consequences: property-backed lending, developer due diligence, land acquisition, legal verification, transaction support, title review, and risk assessment. Terra supports and accelerates professional diligence rather than replacing it, compressing work that has historically taken days into a single interface.

Terra is already in use across institutional and enterprise workflows, including property-backed lending, developer diligence, and large-scale title verification, with leading banks, NBFCs, developers, and real estate stakeholders across India.

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.” 

Terra also introduces a natural-language query layer that allows users to interrogate property data directly. Instead of moving across multiple portals, formats, and legal documents, users can ask questions about a property and receive structured answers backed by relevant records.

As India’s real estate ecosystem moves from relationship-driven decision-making to data-driven infrastructure, Terra aims to become a foundational intelligence layer for faster transactions, better risk assessment, improved capital flow, and greater transparency across the property market.