Vesta Secures $30M to Scale AI Agent Swarms Across Mortgage Lending
Vesta, an AI-native software startup that helps lenders originate mortgages, announced Thursday that it has raised a $30 million funding round led by Conversion Capital.
The company uses AI agents to automate much of the loan origination process, which its founders say helps lenders cut both the time and cost of processing mortgages. Three of Vesta's customers โ including Pennymac and New American Funding โ participated in the round alongside Citi Ventures and Andreessen Horowitz.
12x Revenue Growth and $100B in Annual Loan Originations
Mike Yu co-founded Vesta in 2020 with Devon Yang. Yu, who serves as CEO, told TechCrunch that now is the ideal moment to raise, as demand for the product has "exploded in the last year." He said revenue is up 12x year over year, and that Vesta has helped lenders originate more than $100 billion in loans annually. The company has raised $85 million in funding to date.
"While the traction is great, we are still under 5% market share, and now is the time to staff up, take the market, and invest in new product lines," Yu said.
New Product Lines: AI Assistants for Mortgage Issuers
Those new product lines include a personal assistant for mortgage issuers that can help perform tasks and track workflows. In the U.S., closing a mortgage takes roughly 40 days and costs about $11,000 per loan. "Most of that cost is human labor, and a major bottleneck in the timeline is just waiting for a person to get to reviewing your loan," Yu noted.
With Vesta, the idea is to let humans deploy a swarm of agents that accelerates task completion. Customers decide which tasks to assign to Vesta agents: "Many of our customers start an AI agent with a person approving its work, then let it handle a share of loans on its own, then expand," Yu explained, adding that some lenders are even using Vesta AI agents to make mortgage underwriting decisions.
Companies remain responsible for underwriting decisions regardless of which software or AI agents they use, he said. Yu added that all actions and the reasoning behind each decision are recorded for compliance and to audit AI decisions.
The Model Breakthrough: Claude Sonnet 4.5
This level of autonomy stems from vast improvements in AI models over the past year โ earlier generations simply weren't capable of building agents for the complex, multi-stage tasks involved in mortgage lending. Before this inflection point, Vesta focused primarily on building the right data architecture to use the most advanced tools for automating the mortgage process.
"For us, the big breakthrough was [Claude] Sonnet 4.5, which we just found to be much better at adhering to user-configured instructions over the time horizons we need than previous generations," Yu said.
Competing on AI-Native Architecture
Vesta is, in many ways, competing against both traditional mortgage systems like ICE Mortgage Technology and other AI-native companies also trying to automate the mortgage lending process, such as Xpanse.
Against legacy incumbents, Yu said Vesta's advantage is that those platforms weren't built for AI agents. "Putting AI agents on top of them is very hard," he said. As for what's next: "Our priority is earning the business of the rest of the mortgage industry. Then, we'll go wherever our customers take us."
via TechCrunch