Is “dumb data” holding property managers back? Startup validation

[Patrick Bavaro]

Hey everyone, I'm working on a platform concept called RentKeep that focuses on providing property intelligence to help property managers make data-driven decisions to increase their NOI. This concept is currently in development. The platform is heavily supported by AI, offering insights that go beyond tenant retention, including tenant health scores, engagement analytics, maintenance efficiency, payment patterns, and property performance comparisons.

RentKeep integrates with property management systems like Buildium and AppFolio, functioning as parallel software to help property managers truly understand the data behind their properties. Unlike traditional PMS that often provide static reports or "dumb data", RentKeep offers dynamic, AI-powered insights that allow for proactive decision-making instead of just reviewing historical performance. I.e, understanding data signals as to what drives your companies bottom line and where to focus your time for increasing NOI.

We're targeting companies managing 200+ units, where tracking tenants and optimizing property performance can get complicated. But I'm wondering—do property managers who aren't in the office regularly find value in these kinds of insights? Is tenant churn and NOI improvement something property managers are held accountable for, or is that more of a company-level concern?

I’d appreciate any feedback on whether tools like this would be valuable or if other concerns take priority. Thanks in advance!