Parceled is the first mobile platform making real estate "on-the-go". Parceled's core offering allows our users to navigate and access nationwide parcel map boundaries, property records, owner information, sale & mortgage history, and more. Our geo-locating technology pinpoints your location and allows you to navigate nearby properties, equipping our users with the information they need to make investment decisions.
Parceled is currently only available on the App Store for mobile devices. Simply hover over parcels you are interested in and press down on the address to pull up relevant property information. If you'd like to save a particular property for your future reference, you can save it to your Parceled Watchlist.
How much does this cost? It's FREE! Simply download the app and authenticate your email to have unlimited access to nationwide property data.
Are you a real estate broker, investor, lender or have a business with involvement in real estate? Contact us at [email protected] to build a custom enterprise solution that can:
- Overlay your internal deal database
- Pull in your third-party data providers
- Access key deal metrics and files
- Live stream site visits through Zoom and upload photos directly from your phone
I just navigated through some of the maps, options, Tracts, etc. I’m very excited and impressed by the way y’all put this together for free.! I sold land for ROW with ALDOT for above the last ten years of my career and I know from working with GIS software, as well as other types of tract and parcel programs, and they’re expense. Y’all have done an amazing job putting this together, and I thoroughly understand it takes time to get certain data and everything working together to make it work as great as it does. It’s an obvious app I’ll put some time on, and also give any feedback I think could help you in any way to get this app Jumping! Great Job!
I used this app for the first 5 minutes and found the mobile first experience to be really neat, rich data sets with tax and owner info really amazing and found most of my data from my randomly collected samples was reasonably accurate (so it’s reasonably reliable finding some minor issues to be expected data sets are large as this).
Lastly, It’s a free app, if you download it, help the team behind this by reporting issues, bugs, and inaccuracies in the data set!
Overall fantastic MVP (it’s clear this is a first step with bigger ambitions). Can’t wait to see what this team does in the future!