About

We are on a mission to revolutionize the way the real estate industry makes decisions.

Data across real estate operations are notoriously siloed, fragmented, and complicated, yet the technology used to leverage them is usually no more sophisticated than Excel spreadsheets pulled together by a fleet of analysts. This process leaves asset owners and operators vulnerable to cost overruns and budget shortfalls, hampering long-term portfolio returns.

In larger enterprises, this problem is exacerbated as 28% of management time is spent on meetings trying to gather information from various teams and portfolios to make important decisions, leading to annual losses of over $5.5 billion across North America's market due to the gap in decision-making.

**RealSage** solves this problem by providing an AI-driven platform that seamlessly combines siloed internal and external data sets to generate insights for better decision-making.

The system leverages data across the portfolio to enable on-demand visualization, analysis, and predictive reporting for real estate owners and operators, helping them generate better returns.

We diverge from most BI and dashboarding tools by offering a unique Al-driven framework for data ingestion, analysis, and benchmarking across diverse internal & external data sets. Our technology navigates directly to valuable predictive insights and facilitates conversation-based data discovery, providing our users with a competitive advantage.

Our vision is to revolutionize real estate decision-making by 2028, and we aim to become a market leader, eradicating inefficient & excel based processes by working with 5,000 industry owners/operators.

Problem

Over 47 million rental assets across North America comprise one of the biggest asset classes for many institutional and private equity investors worldwide. Yet, this asset class holding over 43 trillion dollars of assets, is still reported and managed using scattered data across multiple channels and layers of operations, pulled together by analysts to barely meet quarterly reporting requirements for asset managers and owners. This problem of manual, low fidelity, and backward-looking reporting and decision-making structure renders asset owners and managers vulnerable to cost overruns, budget overruns, and lost deals, hampering long-term returns.

These inefficiencies across asset lifecycles cost more than ****$5.5 billion yearly to enterprise rental managers and investors in North America.

Our mission is to address a critical, industry-wide problem: the slow, manual, and inefficient decision-making process currently crippling the real estate industry.

The key challenges are as follows:

1. Siloed Data: Information in real estate operations is often scattered across different teams, departments, and external sources. This fragmentation creates significant inefficiencies and a lack of transparency that slows down decision-making.
2. Complex and Unstructured Data: The vast and complex data generated by real estate operations is challenging to manage and analyze using conventional tools, leading to a slower decision-making process.
3. Over-Reliance on Manual Processes and Outdated Technology: Decisions are often based on data manually pulled together by a large team of analysts using Excel spreadsheets. This approach is not only resource-intensive but also prone to errors and delays, further slowing down decision-making. Also, the heavy reliance on Excel, which wasn't designed to handle the volume and complexity of data in large real estate operations, often leads to system crashes, and spreadsheets on the cloud are slow to collaborate efficiently.
4. Inefficient Use of Management Time: In larger enterprises, approximately 28% of management time is spent in meetings attempting to gather information from various teams and portfolios to make critical decisions. This inefficient use of time can lead to significant losses.
5. Cost Overruns and Budget Shortfalls: The current state of data management leaves real estate asset owners and operators vulnerable to cost overruns and budget shortfalls, negatively impacting long-term portfolio returns.

Solution

We provide the decision-making platform for real estate owners & operators, helping them make more accurate and faster decisions using data and artificial intelligence.

Our platform seamlessly organizes and leverages data across a variety of internal and external data sources to generate real-time actionable & predictive insights for enterprise asset owners and managers.

For instance, consider a use case where an asset manager wants to ensure that their assets are performing competitively and determine where to invest their next dollars for improvements. Instead of manually entering data into Excel models, the manager can easily incorporate multiple data plugs, including external data such as rental data, trends, and demographics, as well as internal data such as asset rent rolls and unit turnover, to analyze and visualize the data. This will allow them to decide which CAPEX project will generate the highest ROI.