Ira Zlotowitz, founder of Gparency and board member of national commercial real estate brokerage Eastern Union, announced the launch of AveryGPT, a lender intelligence platform designed to help mortgage brokers and in-house finance teams identify and connect with the most active and relevant lenders for any commercial real estate transaction in any geographic location nationwide. Users can quickly determine which lenders are actively lending in a given market, for a specific property type and within a defined loan size.
Through an interactive map and search interface, users can identify which lenders are actively closing in a specific area; filter by property type, loan size and geography and target lenders most likely to execute.
“If there is a commercial real estate loan happening in America, we have the data that helps make that transaction better,” said Zlotowitz. “We’ve essentially built the Bloomberg Terminal for commercial real estate lending.”
Built on nearly three decades of commercial mortgage brokerage experience, AveryGPT focuses on delivering targeted lending data, helping users quickly determine which lenders are actively lending in a given market, for a specific property type and within a defined loan size.
ssssd“Whether someone works through a broker or runs financing in-house, they need better lender intelligence,” Zlotowitz said. “Brokers need to move faster and cover the market more effectively. In-house teams need to know who to call. And lenders want to see deals that actually fit. AveryGPT solves that problem for everyone.”
AveryGPT provides visibility into every commercial real estate lender in the United States, along with detailed profiles and contact information for more than 4,100 loan officers currently mapped within the platform, with more officers being added daily.
Users can instantly identify the most active lenders within a 25-mile radius of any property or across national markets, based on real lending activity and defined criteria. Through an interactive map and search interface, users can identify which lenders are actively closing in a specific area; filter by property type, loan size, and geography; and target lenders most likely to execute. This allows brokers and in-house teams to target instead of guess, reducing wasted outreach and increasing execution certainty.
AveryGPT does not require users to upload deal or client information to access lender data — allowing professionals to maintain full control and confidentiality while still benefiting from the platform’s intelligence.
Over time, AveryGPT aims to map every loan officer nationwide along with their lending profile and contact information, creating a true intelligence layer for commercial real estate lending.
