Fundraise

Kastle raises $24M to build an AI workforce for consumer lending

What's the deal? KastleDealroom has a profile for this one. Try Dealroom →, a San Francisco startup building AI agents for financial services, has raised $24 million in a Series A round. Insight Partners led the round, with continued backing from Y Combinator and Commerce Ventures. Fifth Wall and a group of founders and financial services executives joined as new investors.

What's the endgame? Kastle wants to build an "AI workforce" for banks and lenders, starting with consumer lending. Its agents work across a firm's existing core systems to handle high-volume workflows, rather than replacing legacy infrastructure outright.

Why now? Financial institutions face what Kastle calls an adoption gap: they know what AI can do but stay constrained by legacy systems and manual processes. Full migration to an AI-native stack could take years, while bolt-on AI assistants capture only a fraction of the value.

By the numbers: Kastle says its agents have already processed more than $1.8 billion in transactions across some of the world's largest banks and enterprises. The company describes its model as hybrid teams, where agents handle repeatable work and people focus on cases needing judgment and compliance oversight.

What they're saying: "We give financial institutions an AI workforce that can operate across the systems they already have, so they can capture the benefits of AI now—not five years from now," said co-founder and chief executive officer Rishi Choudhary.

Insight Partners managing director Rebecca Liu-Doyle framed the pitch bluntly: "Financial institutions do not need another layer of software that creates more work for their teams. They need AI that can reliably complete the work while ensuring compliance."

The signal: Kastle's raise sits in the top 7% of comparable US sector Series A rounds by size, a sign of investor appetite for AI that plugs into existing banking systems instead of ripping them out. As lenders weigh how to adopt AI without high-risk migrations, agent platforms that work inside current controls are emerging as the pragmatic middle path.

Read more: pr.fayettevilleconnect.com

Image credit: Kastle

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