Why Capital One built its multi-agent AI platform around open-weight models

VentureBeat

·

原始报道

↗ VentureBeat

Presented by Capital One At VB Transform 2026, Kel Vanee, MVP of machine learning engineering at Capital One, spoke with Sam Witteveen, Senior Technology Contributor at VentureBeat, about how the bank built a scalable multi-agent AI architecture around deeply customized open-weight models rather than relying on an off-the-shelf foundation model. "At Capital One, we're not just using AI, we're building AI," Vanee said.The groundwork was laid years ago with Capital One's early investments in data