Kastle raises $24m series A to build the AI workforce for financial services, beginning with consumer lending
The funding comes as financial institutions move beyond isolated AI experiments and begin searching for a practical path to enterprise-wide adoption. Kastle will use the capital to expand its engineering, product, and go-to-market teams; deepen the capabilities of its platform; and accelerate deployments with leading banks and other financial institutions across North America.
Kastle, the AI workforce platform transforming consumer lending, announced it has raised $24 million in Series A funding. “Kastle is building the AI workforce for financial services, beginning with consumer lending – an industry where enormous volumes of essential work still move through legacy systems, manual processes, and operational teams.” – according to the press release.
The company is already powering work across some of the largest enterprises and banks in the world. Its AI agents have processed more than $1.8 billion in transactions, establishing Kastle as an emerging category leader in consumer lending and demonstrating that enterprise AI can perform consequential work at scale.
AI has given financial institutions a historic opportunity to transform how that work gets done. But for most large enterprises, the path to adoption is logistically challenging. Replacing legacy infrastructure with an entirely AI-native technology stack could require years of complex, high-risk migration, in a world where technology shifts happen every other quarter, and layering conventional AI assistants onto existing systems captures only a fraction of AI’s potential. The result is a growing adoption gap: institutions recognize what AI can do but remain constrained by the systems and operating models they already have.
“Kastle offers another path. Its platform enables financial institutions to deploy specialized AI agents that work across their existing core systems, execute high-volume workflows, and keep systems of record current. Rather than requiring a full infrastructure overhaul, Kastle turns that infrastructure into an environment where AI agents and people can work together.” – the company said.
This creates a new operating model for financial services: hybrid teams in which AI agents handle high-volume, repeatable work, while people focus on complex cases requiring judgment, expertise, empathy, and relationships. “Kastle’s agents complete work inside the institution’s existing processes and controls, giving organizations additional capacity while helping their teams maintain consistency, oversight, and compliance.” – the company explained.
“For years, enterprises have effectively been presented with a false choice: accept the limitations of legacy operations or endure a long and risky replacement of the systems at the heart of their business,” said Rishi Choudhary, Co-Founder and CEO of Kastle. “Kastle creates a third path. 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. We believe this will become the safest and fastest way for the world’s largest institutions to become AI-native.”
Kastle’s initial focus is consumer lending, where institutions must coordinate high volumes of time-sensitive work across fragmented technology environments while meeting exacting service, risk, and regulatory requirements. Its AI agents are purpose-built for these workflows, combining financial services context with the ability to take action across the tools institutions use today.
“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,” said Rebecca Liu-Doyle, Managing Director at Insight Partners. “Kastle deploys AI agents that can navigate complexity, pass the bar on regulatory rigor, and get high-stakes work done without waiting for a multiyear transformation. We’re thrilled to partner with the Kastle team as they continue to reshape this category.”
“Software gave every employee more tools. AI will give every enterprise more capacity,” Choudhary added. “The winning institutions will be built around hybrid teams that combine the scale and consistency of AI agents with the judgment and relationships of exceptional people. Kastle is building the platform that makes that future possible.”
