Save hours analyzing market rents, improve operations, and increase deal flow with HelloData.ai.
Multifamily operators and acquisitions teams use Hello Data to improve operations and increase deal flow. Appraisers, brokers and lenders use it to underwrite deals faster and more accurately.
HelloData transforms real estate information into powerful insights. Our commitment to accuracy and innovation is reflected in every figure we display.
Our AI-driven web crawlers index thousands of property websites and several internet listing sites every day, providing detailed unit-level data and granular historical rent concession data. Power your analytics with daily updates on over 2M properties.
Accurate data is the foundation of market analysis. Our algorithms use the latest advancements in AI to clean and reconcile property data automatically, so your team can make investment decisions faster and more confidently than ever before.
From analyzing rent concessions and calculating effective rents, to analyzing finish quality and over 200 unique amenities with computer vision, we deliver proprietary real estate data that no other provider can offer.
HelloData was built for both real estate professionals and PropTech companies. Our APIs and bulk data feeds help CRE tech innovators build data-driven products.
Our apartment rent survey tool collects data on more than 2M properties every day, including rent & availability, fees, and concessions, and sends you weekly updates on rent comps.
Rent Surveys →Computer vision algorithms that analyze interior and exterior property photos to objectively quantify condition and quality of apartments and single-family rentals.
Computer Vision →An intuitive revenue management system that integrates with any property management software and recommends optimal rents by floorplan.
Revenue Management →"Within days of using HelloData it was clear the tools they’ve developed far exceeded our prior resources/tech products for evaluating rent comps, expense benchmarks, and detailed historical data. And they do so at a fraction of the cost of their competitors, in any market across the United States.
Their platform has been a game changer for our team and is better every single time I log into it. Truly phenomenal."
-Daniel Stevens | Principal, Ansonia Properties
"After just 10 minutes of using HelloData.ai, I realized this tool could become the standard for rent comp analysis for all multifamily investors across the US.
I rarely see new tech in the multifamily space that will flip the game upside down. HelloData has already done that with its rent comp analysis tool."
-Ike Hoffman | CEO, Tactica Real Estate Solutions
Property managers and acquisitions teams are both struggling with massive workloads, and no one has time to learn another complex real estate software product.
At HelloData, we believe in building intuitive interfaces and APIs that are easy to integrate with your existing products and workflows.
We've built a system that lets you instantly understand market rents, concessions, and operating expenses for any property, in any market, with only an address.
Our data comes from both public and paid sources. We monitor many property websites and listing sites every day to see when new listings hit the market, how long they stay on the market, how their prices adjust over time, which concessions they are offering, and when each listing is taken off the market.
By monitoring listings every day (vs weekly or monthly updates) and capturing the last listed rent before each unit is taken off the market, the rents we capture are within $5-10 of the actual leased rents on a rent roll. It's the closest you can get to knowing a property's actual rents without owning it.
In addition to listing data, we use detailed income and expense data from real properties to power our expense benchmarks. The benchmarks use public financial reporting data, paid sources, and proprietary algorithms we developed to standardize and normalize the data for prediction.
We also use demographic and economic data provided by the census bureau to control for differences between markets.
We cover every U.S. market for our rent comp detection and market rent analysis functionality. In markets where we don't have enough expense comps, we will use the comps we have or explain that there isn't enough data to generate expense benchmarks.
Yes! Since our pricing model uses 100% market data, we are the only revenue management system for lease ups. We show the relationship between price and days on market, which helps property managers see the impact of various price points on occupancy and NOI.
First, we average the last 90-days worth of recently closed listings (taking the last listed price before each unit was taken off the market, which is very close to the actual rent) to get an average rent per unit for the property. We then multiply this by the number of units in the building to get GPR.
Next, we use the 10 most similar expense comps (determined by similarity of year built, number of units, location and GPR per unit) to provide a benchmark for each income line item as a % of GPR. We then multiply the estimated GPR by the computed % of GPR benchmarks to generate estimates for the remaining income line items.
From this, we calculate the estimated EGI for the property.
After we have the estimated EGI, we use the expense comps again to generate benchmarks for each expense line item as a % of EGI. We then multiply the computed EGI by the benchmarked % of EGI values to estimate the amount of each expense line item.
Our interface contracts for individuals are month-to-month, and for organizations they are typically 1-year contracts. API contracts are tailored for each customer, but typically include a per query charge and a monthly minimum.
We use advanced security measures to protect the data in transit, including encryption and data masking. Additionally, we comply with data privacy regulations such as GDPR and CCPA.
Only one API key is needed to use every product. You can try every product with an API key, but LiquidRent.ai and AnyExtract.ai do require some setup. Please contact us and our team will work with you to onboard those products.