AppRent is a property management platform built by onsite property management teams.
We’ve stood where you’re standing.
We know what you need.
You need engaged maintenance teams. Happy teams do more, care more, and perform better.
You need happy residents. Happy residents stay longer, are willing to pay more, and (best of all) when the residents are happy, your staff is happy.
You need detailed reports and real-time analytics so you can make informed business decisions. Superior data leads to better oversight, which in turn leads to greater success.
We get it, and we’re on a mission to make your life, the lives of your team, and the lives of your residents better.
Reduce the learning curve with an intuitive, easy-to-use design.
Manage properties on any device with a mobile-friendly interface.
Increase employee engagement and retention with a smart and engaging platform.
Elevate productivity levels with enhanced oversight.
Make smarter business decisions with real-time analytics and reports.
Understand the skill level of each technician using extensive data.
Give maintenance teams more recognition with badges and shout-outs.
Maintain residents' peace of mind by sending photos of techs before arrival.
Increase resident retention with higher satisfaction rates.
Decrease vacancy loss with a simple, yet robust, make ready system.
Reduce delays and errors with machine learning.
Aggregate data on a tech, team, property, regional, or portfolio level.
Understand how your vendors are performing with in-depth statistics, including ratings and call backs.
Improve relationships with vendors and supplier partners.
Save money by creating a better budget using relevant BI.
We're on a Mission
To upgrade the PropTech industry by tackling four major pain points.
Property management platforms have a steep learning curve, requiring time-consuming training for the most basic functions, never mind the more advanced parts. Training is expensive, especially in an industry with a high employee turnover rate.
We want to make property management software training obsolete. How? By creating a platform that is intuitive to use. Imagine a property maintenance app that’s as easy to master as Uber, Instagram, or WhatsApp, but still has all the data and tools you need to refine your maintenance workflow.
Time consuming errors?
When property managers rely solely on manual input, the maintenance workflow is slower and less efficient, resulting in more errors and delays. Plus, tracking tasks by hand is so last century.
We want to add automation to property management maintenance. While human interaction is a necessary and integral aspect of property management, the ability to automate daily tasks leads to increased efficiency and productivity. Upgrade your property management with virtual work orders.
A property manager makes thousands of decisions every day—from onsite and higher, both consciously and subconsciously. Without easy access to the relevant data, many of these decisions are based on intuition and experience. Even the most experienced manager will make mistakes without the right information.
Make informed decisions
We want to gather data and display it in an easy-to-understand format. Advanced analytics, enhanced by machine learning, generates better Business Intelligence. This is guaranteed to boost decisions that directly impact the bottom line.
Want to improve assets?
Property managers continuously strive to develop their assets, even well-performing ones. There are hundreds, if not thousands, of data points to consider when making the adjustments necessary to realize improvements. Managers need constant guidance and advice.
Performance-based email alerts
We want to inform managers proactively about the best ways to improve their sites. Think of AppRent as a coach who tells team members where they need to be, and what they need to be doing, with precise and automatic performance-based email alerts. By helping teams focus on tasks with the most significance, AppRent will help you increase NOI.
Modernize Your Property
Stop guessing and start making informed
business decisions based on real data.