The Pulse
Vesta Raises $30 Million to Expand Mortgage AI Agents
Vesta raised a $30 million Series B led by Conversion Capital to expand its AI-powered mortgage origination platform. The company says agents and automated workflows now handle about 40% of tasks on its system.
AI.info Team · Written with AI ·
Vesta announced a $30 million Series B on October 8, saying AI agents and automated workflows now handle about 40% of tasks completed on its mortgage-origination platform. Conversion Capital led the round, which brings the company’s total funding to $85 million.
The company says lenders using or moving to its software originate more than $100 billion in loans a year. Its investors include customers Pennymac and New American Funding, alongside Citi Ventures, nbkc bank, First American, FirstKey Mortgage, Andreessen Horowitz, Zigg and Navitas.
From document checks to underwriting
Vesta’s agents work on tasks including reviewing applications, handling underwriting decisions and checking closing documents, the company says. In an interview with TechCrunch, co-founder and CEO Mike Yu described a gradual handoff between human reviewers and software: 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. Mike Yu, Vesta CEO, speaking to TechCrunch
Yu told TechCrunch that some lenders use Vesta agents to make underwriting decisions. Lenders remain responsible for those decisions, he said, and the system records actions and reasoning for compliance review and auditing. The distinction matters in a process where automated document handling can lead into a decision with consequences for a borrower and a lender.
Vesta ties agents to its loan system
Rather than add agents on top of older lender software, Vesta says it built its loan-origination platform to support them. The company says it has spent nearly six years building and implementing the system, including two years writing the core platform. Its argument is that agents need access to a lender’s data, workflow rules and audit records within the same operating system.
That approach addresses a practical obstacle in mortgage processing: older systems can restrict how people and software work on a loan file. Vesta’s account says some legacy databases allow only one party to edit a file at a time. Building agents around such limits, the company argues, would mean waiting for human users or relying on computer interaction with older interfaces.
Growth meets a small market share
Vesta says its revenue grew more than 12 times in the 12 months before the announcement, while customer count and headcount each rose by more than 50%. The company also says agents and automated workflows now complete about 40% of tasks on its platform; that figure combines AI agents with other automated workflows, rather than measuring agent-only work.
Despite that growth, Vesta says less than 5% of the mortgage market is on its system. Yu told TechCrunch that the company plans to hire and build new products, including a personal assistant for mortgage issuers that can perform tasks and track workflows. He described U.S. mortgage closing as taking around 40 days and costing about $11,000 per loan, with human labor accounting for much of the expense.
A lender’s efficiency target
Vesta points to Pennymac as an example of potential operational gains. The company says Pennymac has reported 25% back-office efficiency gains and has a roadmap to automate 80% of its production workflows by the end of 2027. Those figures are Pennymac’s reported results and target as presented by Vesta, not a measure of performance across all of Vesta’s customers.
The new funding gives Vesta more room to expand its software and help lenders implement it, while the company acknowledges that onboarding can take much of a year. Its near-term test is whether it can bring more lenders onto the platform and extend automation without removing the human responsibility lenders retain for loan decisions.