Two individual Philadelphia startups are using AI and data analytics to help residents not only purchase homes, but to also help with maintaining aging properties, writes Sarah Huffman for Technical.ly.

Rajesh Tripurneni developed the Zip Scoring Algorithm, an open-source tool used to identify neighborhoods with strong potential for housing investment. The Zip Scoring Algorithm gives realtors, developers, and investors a clearer understanding of the neighborhoods where they are building, helping them create and sell homes that better match what local residents want.

“It’s not just about the data, right?,” said Tripurneni. “It’s about what you do with the data. A potential investor could look at it and make use of it in driving real-time decisions.”

Separately, Schola Eburuoh has created Fixa, a platform that assists homeowners with maintenance needs and then connects them with trusted contractors. The goal is that by providing better access to data and information, homeowners can make stronger financial decisions, which should lead to achieving more stable long-term housing.

Although they are not connected, both show how startups are supporting the city as it faces a range of housing challenges, helping improve decision-making in both real estate and homeownership contexts.

Read more about the two startups that are helping address two sides of the housing challenge at Technical.ly.

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Editor’s Note: This post was originally published on PHILADELPHIA.Today in April 2026.