During my time at Blackstone and AEW, I bought and asset managed both small and large portfolios. I wanted to view metrics such as actual to budget comparison, lease trade outs, delinquency rates, and more.

While I did my best to leverage the most modern technology tools, the real challenge lay in collecting and standardizing data from multiple sources—a step that was often overlooked. At the time, there was no technology available to address the complexities of data collection and validation. As a result, I relied on highly manual workflows to gather reports from different partners, reformat datasets in Excel, and painstakingly check for errors. This process was not only inefficient but also prone to mistakes.

This experience inspired me to team up with former colleagues and start Intelas. Our mission is to revolutionize data collection, standardization, and reporting for the real estate industry. Leveraging the power of Machine Learning and AI, we’ve developed intelligent systems that automate the aggregation, validation, and organization of property-level data at scale.

Through advanced AI technologies, we enable our clients to unlock the full potential of their property data, making faster, smarter, and more impactful decisions. Because better insights start with better data.