HelloData.ai was founded by a passionate team of data scientists and engineers with proven real estate domain expertise to help PropTech companies build data driven products. We’ve built real estate data data pipelines, predictive algorithms and workflow automation technology for startups, publicly traded companies, and everything in between.
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HelloData.ai's answer:
We use AI to analyze the quality and condition of apartment listing photos to assess comparability. This helps us deliver the best rent comp recommendations in multifamily real estate, with 9/10 overlap with appraiser selected comps.
We collect listing data from millions of apartments every day at the unit level, so we capture the last listed rent before each unit is removed from the market. This rent is within $5-10 of actual leases on a rent roll based on several tests with clients.
We benchmark operating expenses using a model trained on over 25,000 multifamily properties, which delivers highly accurate expense benchmarks in any U.S. market.
HelloData.ai's answer:
In under 1-minute, you can complete a full market analysis with rent comps, expense benchmarks and real-time data with HelloData.ai. Our platform is very reasonably priced for the functionality (no one else offers the same capabilities), and we offer a 7-day free trial.
HelloData.ai's answer:
Real estate investors and property managers are our main clients. We typically work with acquisitions and asset management teams from large real estate owners, but we also have many appraisers, brokers and lenders using the platform.
HelloData.ai's answer:
This is our 2nd startup. We sold the first one, Enodo, to Walker & Dunlop in 2019. After building incredible internal products for W&D for 4 years we are back at it again with HelloData.ai, leveraging recent advancements in AI to deliver the most sophisticated real estate market analysis product in multifamily.
HelloData.ai's answer:
Python, PostgreSQL, and Vue.JS
HelloData.ai's answer:
Greystone, Redwood Living, and Luxury Living
I've worked with the HelloData.ai team on data extraction and revenue management projects, and they are seriously skilled in real estate data science and engineering. It's rare to find a team that understands real estate as well as they understand technology. These guys are super responsive and always understand what I'm talking about when it comes to real estate. I can't recommend them highly enough!
Based on our record, Expedia seems to be more popular. It has been mentiond 43 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
So I am planning a trip to WDW for two next year. I am looking at expedia.com for it's travel packages of booking flights and hotels, but am wondering, is their a better website for finding such packages? Source: 10 months ago
Some booking websites allow you to search specifically for hostels. I just took a quick glance, and expedia.com allows it. Booking.com doesn't appear so, but maybe I missed something. Source: about 1 year ago
Whatever safe bed you can find at this point. You've left it too late to be picky and it's looking like it's going to be the start of the the busiest, boomiest tourist season here in Italy ever. Expect to have to stay very, very, very far from city centers and transit connections or to pay $400+/night on a place. Don't be picky, just start looking now at both AirBnb and hotels (booking.com or expedia.com are the... Source: about 1 year ago
So some fares can be priced differently depending on the region you select for purchasing. e.g. expedia.com vs expedia.ca vs expedia.co.jp. Source: about 1 year ago
Ah yes, the expedia.com effect. "Only one room left, hurry before it's gone.". Source: about 1 year ago
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