In this latest ‘High Bit’ episode, Brett Gibson sits down with Vincent Chu, cofounder and CTO of HomeVision. They’re taking on mortgage underwriting with AI, streamlining the process and cutting down on the time it takes to process appraisal documents.
Vince walks us through HomeVision’s journey, from building out their automation tools to tackling the real-world complexities of understanding appraisal documents—photos, maps, and all. He also shares how they approach AI transparency, an essential element for industries focused on risk.
“The pace of change, especially with tools like large language models and just machine learning and deep learning in general, has been incredible in the last five years,” said Vince. “I even think about what some of the things that we do would be impossible even three or four years ago.”
What You’ll Learn:
- Cracking the Code on Document Complexity: Teaching computers to interpret the details within text, photos, maps, and sketches isn’t easy, but HomeVision is making it happen.
- From Lab to Lender: Turning AI models into real-world tools has its challenges. Vince dives into what it takes to make that leap.
- The Role of Transparency in AI: In risk-heavy fields, transparency isn’t optional—it’s vital. Vince talks about how HomeVision builds clarity and trust into its AI systems.
Listen in to get a closer look at how HomeVision is reshaping real estate underwriting.
Spotify: https://open.spotify.com/episode/5Eqm8Yp35PIFW0TcdkINhv
Apple Podcasts: https://podcasts.apple.com/us/podcast/how-homevision-is-disrupting-mortgage-underwriting/id1691952503?i=1000671538991
