12, Feb 2024
Landeed launches India’s First AI Property Analyzer, Revolutionizing Property Technology Landscape
National, 12th February: Landeed, a leading prop-tech startup dedicated to revolutionizing the property technology landscape announces the launch of India’s first AI Property analyzer feature. Currently in beta, the AI Property Analyzer represents a groundbreaking advancement in the analysis and understanding of property titles, poised to redefine the Indian real estate market.
The AI Property Analyzer furnishes the complete ownership history of properties, encompassing details from the initial owner to the most recent one, including any transactions or encumbrances that have occurred. It delivers a clear and concise title flow efficiently. The model is trained to comprehend legal understanding within Indian property documents.
Landeed is dedicated to enhancing accessibility in property title management, particularly for brokers, landlords, and landowners. Through its innovative approach, Landeed enables users to effortlessly retrieve various property documents, including Encumbrance Certificates, 7/12 records, Records of Rights (RoR), and more, within minutes. The newly introduced AI analyzer takes this convenience to the next level, automating document analysis and streamlining the extraction of relevant information in a clear and organized manner. This transformative feature allows users to navigate complex property documents with ease, saving time and reducing the risk of errors.
Sanjay Mandava, Founder & CEO of Landeed, expressed enthusiasm about the groundbreaking technology, stating, “We are thrilled to introduce India’s first AI Property Analyzer, a testament to Landeed’s commitment to innovation and excellence in the real estate technology space. By providing users with cutting-edge tools like this, we aim to empower them to make informed decisions and navigate the real estate market with confidence.”
This initial release is designed to gather valuable user feedback for continuous improvement and refinement of the feature based on user insights. Users are invited to experience the seamless integration of advanced technology with property title management, contributing feedback on the AI Property Analyzer to ensure it meets the evolving needs of the real estate market.
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- By Rabindra
18, Jan 2024
Property prices surged 18.8% YoY and 3.97% QoQ Magicbricks PropIndex Report
New Delhi, January 18, 2024 – Magicbricks, India’s leading real estate platform, released its flagship PropIndex Report OND which observed that property prices across 13 prime cities increased 18.8% YoY and 3.97% QoQ between Oct-Dec 2023. Notably, Gurugram (32.1% YoY), Greater Noida (31% YoY), Noida (26.1% YoY), and Hyderabad (15.8% YoY) exhibited the highest appreciation during this period.
Drawing insights from the behavior and preferences of over 2 crore customers within the primary (first time sale) and secondary (resale) residential real estate market on the Magicbricks platform, the report indicated that while demand (searches) increased 2.0% YoY, it decreased 16.9% QoQ primarily due to rising property prices. The analysis further highlighted that residential supply (listings) reduced 16.9% YoY, with exceptions in Mumbai (4.2% YoY) and Hyderabad (0.4% YoY), where supply increased.
Elaborating on the findings, Abhishek Bhadra, Head of Research, Magicbricks, shared, “The year 2023 served as a pivotal period for the real estate sector, witnessing an exponential surge in residential demand propelled by robust macroeconomic factors and positive customer sentiment. However, constrained residential supply and increasing home loan rates had an inflationary impact on residential prices, subsequently declining demand this quarter. Despite these short-term challenges, we foresee a positive trajectory for residential demand in the medium to long term, anticipating a rebound in supply and moderation in residential prices.”
The report concluded that the affordable housing market flourished in Ahmedabad (62%) and Kolkata (48%) and luxury properties were most searched in MMR (90%), New Delhi (58%) and Gurugram (48%).
