Florey Street Advisors is positioning artificial intelligence as a core component of multifamily investment research, with founder Brad Dillman describing AI tools as teammates rather than simple data utilities. In his view, the main misconception around AI-native research is the belief that it replaces human expertise, when the intent is to scale and systematize that expertise so more investors can access institutional-grade strategic insights.
Dillman explains that the firm’s platform has evolved from basic chatbot interactions into a coordinated, hierarchical agentic AI system. Multiple agents leverage proprietary machine learning, forecasting and analytical models to generate and communicate conclusions in natural language. Users engage via a desktop assistant for ongoing conversations, a mobile chatbot aimed at use in meetings and conferences, and an email interface that allows clients to pose questions directly from their inbox.
According to Dillman, the platform is designed to augment or, in some cases, serve as a strategic research function for multifamily investors. Traditional research models depended heavily on either non-technical market experts or data scientists, or on finding rare individuals who combined both skill sets. Florey Street’s approach seeks to integrate domain expertise and advanced modeling within a team of AI agents that support human strategists, offering what he characterizes as institutional-level research at lower cost and with the option to add tailored advisory services.
Typical use cases include requests for market and submarket assessments, preliminary analyses of specific properties, rent growth assumptions, and strategic questions such as developing value-add approaches in particular metros or identifying submarkets with exposure to defense technology industries. Clients often interact with the platform as they would with a colleague, receiving data-driven, forward-looking conclusions intended to reduce bias and inform capital allocation decisions more quickly than analog processes.
Dillman emphasizes that AI does not eliminate the need for experienced professionals, but shifts how research teams are organized and deployed. He sees chatbots as capable of handling fact-finding and information gathering, while Florey Street’s system is designed to deliver conclusions grounded in proprietary analytics and residential investment strategy experience. The goal is to compress the time between inquiry and insight so decision-makers can act earlier and with greater confidence.
Looking ahead, he expects more multifamily investors to move beyond using AI as a basic search or spreadsheet-populating tool and toward working with orchestrated AI teammates embedded with proven analytical approaches. He also anticipates that other firms will attempt similar models, yet believes combining tested domain knowledge with AI and data science at scale will remain a key differentiator for those seeking institutional-grade research without supporting a full in-house function.
