Vesta lands $30M to deploy AI agent swarms across mortgage lending
The AI-native mortgage origination platform, which has grown revenue 12x year-over-year, is using the capital to expand market share and build new product lines for lenders.
Vesta, a software platform built around AI agents for mortgage lending, closed a $30 million funding round on Thursday with Conversion Capital as the lead investor. The company's technology automates key stages of loan origination, enabling lenders to cut processing timelines and expenses, according to its founders. Alongside Conversion Capital, the round included participation from three existing customers—Pennymac and New American Funding among them—as well as Citi Ventures and Andreessen Horowitz.
Co-founders Mike Yu and Devon Yang launched Vesta in 2020. Yu, serving as CEO, told TechCrunch that market conditions made this the right moment to raise capital, noting that "demand for the product has exploded in the last year." The company has achieved 12x revenue growth year-over-year and has facilitated more than $100 billion annually in loan originations for its clients. Including this round, Vesta has raised $85 million to date.
Despite strong momentum, Yu emphasized that the company remains below 5% market penetration. "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," he said.
Expanding the product roadmap
The new capital will fund development of additional offerings, including a personal assistant tool designed for mortgage issuers to manage tasks and oversee workflows. In the United States, the typical mortgage closing takes roughly 40 days and costs approximately $11,000 per loan. Yu pointed out that "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."
Vesta's approach centers on enabling lenders to deploy multiple AI agents working in parallel to accelerate task completion. Lenders retain control over which tasks agents handle. "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. He noted that some lenders have even begun using Vesta agents to make underwriting decisions.
Regardless of the role AI plays, lenders maintain responsibility for underwriting decisions, Yu stressed. The platform records all agent actions and the reasoning behind each decision to support compliance and enable auditing of AI-driven choices.
AI capability as the turning point
The ability to deploy autonomous agents at this scale reflects recent breakthroughs in AI model performance. A year ago, available models lacked the sophistication needed to handle the intricate, multi-step workflows inherent in mortgage lending. Previously, Vesta concentrated on establishing the correct data infrastructure to leverage the most capable automation tools available.
"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.
Competition and market strategy
Vesta faces competition from both established mortgage technology providers like ICE Mortgage Technology and emerging AI-focused competitors such as Xpanse. Against legacy systems, Yu argued that Vesta holds an advantage because traditional platforms were not architected for AI agents. "Putting AI agents on top of them is very hard," he said.
Looking ahead, Yu outlined the company's immediate priorities: "Our priority is earning the business of the rest of the mortgage industry. Then, we'll go wherever our customers take us."