Unit-level rents, concessions & amenities
Map-based trend analysis & report builder
Create custom survey regions for monitoring
Upload your rent rolls for easy formatting
Underwrite multifamily deals in seconds with AI.
Analyze and download market data in bulk.
Feed your system real-time property data
Have AI turn your market data into action plans.
The lack of transparency in these models can lead to biased outcomes, lack of accountability, and even security risks. This is where the difference between black box and explainable AI (XAI) models comes into play.
Learn how we developed a cost-effective AI model to accurately extract floor numbers from complex unit names, improving real estate data analysis.
HelloData automates rent comp identification by using AI to select the most statistically similar rent comps based on a comprehensive array of factors including submarket demographics, physical distance, unit specifics, amenities and quality.
Using computer vision to identify value-add deals in the multifamily real estate sector can be a game-changer. Value-add deals refer to properties that offer the potential for increased returns through various enhancements, such as physical improvements, operational changes, or market position improvements.
On average, insurance costs have increased by about 27% from 2020 through the end of 2022. The Midwest saw the lowest increases from 2020 – 2022 at only 21%, while the South experienced a 39.3% increase in insurance costs over the same time period.
Last week, we put together data on the Atlanta rental market as part of a proof of concept with a potential client. The data included rent, availability, concessions, amenities, and many other attributes for about 16k units listed on a single day in May. It also analyzed the listing photos for each property, and included the QualityScore we generated as a variable.
Traditionally, comparable properties for homes and apartments have been computed using basic data such as the number of bedrooms, bathrooms, and square footage. However, as any seasoned real estate professional can attest, two properties with identical basic features can vary greatly in price.
When real estate professionals take a look at all the options for automated data extraction, there are so many products available that it can be pretty confusing trying to find the best one. What makes the most sense for your business? If you are trying to make a decision today, there are a few key differences between machine learning and OCR to think about.
Schedule a demo below to see our multifamily analytics platform and APIs in action.
