Copperlane AI

Cofounder/CEO @copperlaneAI (YC W26) | prev. 2x founding team, princeton, tj always on a random walk

Copperlane is building loan origination software for mortgage lenders, replacing intake and underwriting workflows that still run on tools roughly two decades old. The core product is Penny, an AI mortgage loan officer that can analyze borrower documents, flag issues and draft explanations to reduce review times from 4+ hours to minutes . Instead of leaving loan officers to chase paperwork, Penny proactively closes loans by optimizing rate pricing, directing borrowers, and verifying docs , turning messy income, debt, and document histories into structured files a human can act on. The launch matters because lenders spend $11,800 to originate a mortgage, and the majority of that cost is burned during intake due to missing documents, back-and-forth, and costly errors . Copperlane is positioning itself against legacy loan origination systems by treating borrower files as a qualitative story to be interpreted rather than a form to be filled, then converting that story into the structured signals underwriters and pricing engines need. The team frames mortgage as the first wedge into a broader category of complex financial workflows that depend on understanding people. Copperlane is part of Y Combinator's W26 batch and was founded by 21-year-olds Athan Zhang, a Princeton University computer science graduate, and Brianna Lin, who studied computer science and real estate at the University of Pennsylvania . The company just closed a $4.1 million seed round, led by TQ Ventures, with participation from Y Combinator, US News Digital Ventures, Mercor , and angels from the mortgage industry, capital aimed at scaling Penny into more lender workflows.

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