P.E. Analytics Limited provides data and analytics to the real estate industry to its subscribers in India. The company owns and operates PropEquity, an online subscription based real estate data and analytics platform. Its real-estate business intelligence platform provides real time information and tools to search, analyze, compare, chart, and audit for various verticals under residential, commercial, and retail sectors. The company also offers customized research and consulting services, such as location advisory, development and strategic consulting, research, and city reports to real estate private equity funds, lenders, developers, REITs, the retail industry, and banks and financial institutions, as well as other allied industries, such as faucets, paints, elevators, etc.; and real-time construction progress alerts, project and developer alerts for defaults and delays, actionable intelligence, developer record checks, legal checks, comparisons of nearby projects, and historical price changes under PropAlert name. In addition, it provides collateral risk management tool, which provides a retail and construction finance valuation services, project monitoring and land loan verification services, and project approval process; residential and commercial indices based on transaction prices; and Catchment Area Analysis, a real estate geospatial tool that facilitates a deeper exploration with Google Map API and PropEquity real estate data. The company was formerly known as P.E. Analytics Private Limited and changed its name to P.E. Analytics Limited. P.E. Analytics Limited was founded in 2007 and is based in Gurugram, India.
Indian Market Performance
7D7 Days: 0.2%
3M3 Months: 5.2%
1Y1 Year: -2.4%
YTDYear to Date: -1.1%
Over the last 7 days, the market has remained flat, with no particular sector making any big moves this week. Similarly, the market is flat for the past 12 months. Earnings are forecast to grow by 15% annually. Market details ›
This week, we’re diving deeper into the world of agentic AI. We’re zeroing in on the core technologies that make these intelligent agents actually reliably work. We explore what all this could mean for software, start-ups, and most importantly, the opportunities and risks each industry faces by adopting Agentic AI.