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AI Distressed Property Discovery

Driving for Dollars on Autopilot

Examples of real distressed properties returned by the Atlas AI Distressed Property Discovery tool

These are all real examples of properties discovered by our tool.

How it works...

Through our self-serve web application, you can:

  • Run an area search for one or more zip codes. Filter by owner type, absentee owners, price range, and more.
  • Upload a CSV of property addresses (e.g. from a CRM or other source) to have their distress level analyzed.

Our AI then collects Streetview images of the properties and computes their distress score, helping you identify investment opportunities.

Browse the results in our web application, where you can filter and sort the properties, and download the results as an Excel file, to load back into your CRM or other system.

Pricing

Each run of the Distressed Property Discovery tool consumes an amount of credits for each property returned in the results. You are charged for credits at your plan's credit rate.

CSV file processing is charged 1 credit per property returned.

Area search is charged 1 credit per 4 properties returned (0.25 credit per property).

Try the tool today with no commitment using our pay-as-you-go plan or subscribe for lower credit rates and higher usage limits.
See our plans for details.

Features

Intelligent Image Collection

We take up to 3 images of each property, so you can literally see around obstacles and never miss a good candidate.

Property Filters

Apply filters to your search results to narrow down the properties that meet your investment criteria.

  • Absentee owners
  • Owner type
  • Year built range
  • Building and land area range
  • More to come!

Our property data is updated quarterly by our provider to ensure the most accurate and up-to-date information.

Save time and money on your D4D workflow.

  • Scan entire zip codes in minutes to hours!
  • No need to spend hours driving (or hire drivers) to scan entire cities
  • Adjacent markets become accessible at your fingertips

Frequently Asked Questions

Find answers to common questions about our services.

We make sure to use images from AFTER the property's last transfer, which reduces the chances of it having been renovated. If the property does not have transfer information, we apply a hard cutoff date of 2014 as the images were of much lower quality before then.

Your CSV file should include the following fields: Address, City, State, Zip Code, and any other relevant property information you want to include. We try to find your property using our data provider, and fallback to Google Maps if necessary.

These two modes have different cost structures on our end, which is reflected in their credit cost.

No, unused credits do not currently rollover to the next month.