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Landeed, a pioneering prop-tech startup, made headlines in the property technology sector when it announced the launch of India's premier AI Property Analyzer feature. This cutting-edge tool marks a significant step forward in the analysis and comprehension of property titles, promising to reshape the Indian real estate landscape.
The AI Property Analyzer offers a comprehensive ownership history of properties, tracing back from the original owner to the present, inclusive of any transactions or encumbrances. It simplifies the title flow, providing users with a clear understanding efficiently. Trained to interpret Indian property documents, this innovation aims to streamline property title management for brokers, landlords, and landowners alike.
In its quest to enhance accessibility, Landeed facilitates easy retrieval of various property documents, such as Encumbrance Certificates, 7/12 records, and Records of Rights (RoR), within minutes. With the introduction of the AI analyzer, document analysis becomes automated, ensuring relevant information is extracted and presented coherently. This feature enables users to navigate complex property documents effortlessly, saving time and minimizing errors.
Sanjay Mandava, Founder & CEO of Landeed, expressed excitement about the groundbreaking technology, highlighting its potential to empower users and bolster confidence in real estate decision-making. This initial release aims to gather user feedback for ongoing refinement, aligning the feature with the evolving needs of the real estate market. Their first product performs a fundamental task to any property ownership - automatic document pull and title check. The Landeed app received overwhelming traction (50,000 users in the first month) and good reviews (4.7 stars on the Indian app store) since its launch.
To date, Landeed has secured a total funding of USD 11.3 million across three rounds. The journey began with its first funding round on June 1, 2022, and the latest boost came through a Seed round on January 24, 2023, amounting to USD 8.3 million.
The purpose of this initial release is to collect insightful user feedback so that the feature can be continuously improved and refined based on user insights.
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