We use AI to identify the most similar rent & expense comps for any size apartment building, then we analyze them every day to recommend pricing, value-adds and operational improvements that will maximize your NOI.
If you own or manage multifamily assets with under 100 units, existing revenue management systems have let you down... but your days of scouring rental listings and calling property managers for pricing are almost over!
You can download an overview of the platform here, or sign up for the initial release below:
Residents decide which showings to schedule primarily based on location, price, and listing photos. That's why we built computer vision algorithms to analyze the condition, quality and attributes of comps based on property photos and Google Street views.
We take account the physical attributes of properties, such as location, year built, number of units, and unit mix, but we also extract valuable data from property imagery and floorplans to help find the most relevant comps in any market.
With Hello Data, you can analyze your true competitors every day and get detailed data for any size multifamily asset (2+ units), right in your inbox.
Operating expense data is hard to come buy, and making sure expense benchmarks come from truly comparable assets is even harder. We standardize operational and financial performance data from over 25,000 multifamily properties across the U.S. to help you identify areas for improvement across your portfolio.
Our expense benchmarks are backed by our comparable property detection algorithm, which analyzes distance, number of units, year built and property condition (derived from listing photos and street views) to ensure true comparability.
Our asset management software helps you compare your operations to statistically similar properties in any market to unlock real operational efficiencies for your portfolio.
Asset managers need to continually monitor competitor pricing and positioning to understand how to win, and complicated black box algorithms don't help. Good products are simple and intuitive... you shouldn't have to pay a data scientist to help you understand your revenue management software!
HelloData.ai gives you the why behind each pricing recommendation in plain English, so you don't need to pay a pricing & revenue management "expert" to help translate.
If you want clear, actionable recommendations to grow NOI, and you don't want to pay for an asset manager, a pricing consultant, a bunch of hefty implementation fees and weeks of training - we are building this platform for you.
Pricing recommendations shouldn't be "take it or leave it", and they should give you the flexibility to test scenarios and measure results. HelloData shows how different pricing levels will impact occupancy and time on market for each floorplan, giving you greater control over your pricing strategy.
Our system uses AI to identify the most comparable floorplans across every property in your market, then analyzes every competing listing to recommend rent pricing that will minimize vacancy loss, maximize rent, and boost NOI.
Whether you're trying to maximize revenue & profits or analyze a potential value-add deal, our software gives you the flexibility and insight to craft the perfect business plan for your asset.
Whether you're a real estate investor, property manager, asset manager or lender, you need to understand the potential risks and opportunities for improvement across your portfolio. But with most data sources, by the time you get the data, it's already too late to act on it.
HelloData is building an AI-driven asset management platform that surveys the market every day to identify the unique strengths, weaknesses, opportunities and threats for every asset in your portfolio. We provide actionable insights to help boost performance and mitigate risks before they impact NOI.
If you want to stay ahead of the curve and proactively address issues in your real estate or loan portfolio, let's chat!
Hello Data is a tool for revenue management, not simply rental pricing recommendations.
We aren't averaging your rent comps or taking the most similar rental comp to get rent. Our revenue management solution works by first determining which apartments are most statistically comparable at the floorplan level, then expanding that group of floorplan comps to include EVERYTHING that competes with your units. This could be hundreds or even thousands of rental listings that make up your true competitive market area.
Because we are tracking daily rental market updates, we then watch EVERY new listing that comes on the market, how long it stays on the market, and how it was priced when it was taken off the market. We use this supply and demand data to recommend pricing that will maximize rents and minimize time on market. We also use the data we collect on concessions, amenities, fees and recent value-add renovations in your comp set to explain how you can grow NOI and maximize the value of your assets. Think of it more like a full rent appraisal - we provide the "why" behind our comp selections and clearly explain how to outcompete them.
We collect daily rent, availability and time on market data from several rental listing sites. Our web crawlers combine local demographic and economic data with real-time multifamily listing data, then our data pipeline compares data across sources to pick the highest quality data from each site. We use AI to extract the most relevant real estate data, including year built, number of units, interior quality (using our proprietary computer vision model) and over 300 amenities and attributes - so you can be confident we're accounting for everything when we deliver comparable property recommendations.
We bring transparency to the rent pricing process. We explain in plain text how our pricing was derived and which factors influenced our recommendations. Our software explains how market activity influenced predictions, helping property managers explain rent adjustments without appearing predatory or arbitrary.
HelloData.ai stands out by not requiring property management software integration, which is usually expensive and labor-intensive to implement. Additionally, we offer a flat rate pricing, comprehensive advice on operational improvements outside of pricing that can boost NOI, and complete transparency on how pricing is derived.
Absolutely. Our transparent pricing methodology and comprehensive market analysis ensure that the prices recommended are fair and competitive, reducing the exposure to fair housing violations based on pricing.
Our system uses AI and computer vision to analyze relevant comps daily, ensuring that the pricing recommendations are stable and reflective of current market conditions. This reduces the price volatility often experienced with other systems.
We believe in fair and transparent pricing. Our system recommends pricing that is competitive and reflective of current market conditions. This ensures that residents are not squeezed for money during lease renewals and helps build a reputation as a resident-friendly community.
While our comparable property detection algorithms can absolutely be used for automated underwriting of acquisitions, our focus is not on financial spreading or real estate document extraction. Our software is designed to help owners and operators to maximize revenue and unlock operational efficiencies across their portfolios. We specifically focus on multifamily apartments with fewer than 100 units, for which most revenue management and asset optimization software products will not work for today.