Casap Secures $56M Series B to Scale Agentic AI Across Financial Services Operations

Casap has secured a $56 million Series B funding round to scale its AI agent platform across the financial services sector. This investment highlights a growing institutional appetite for "agentic AI" that can navigate complex, regulated workflows like fraud and dispute resolution, moving beyond simple task automation toward autonomous decision-making and auditable outcomes.

What was announced

The oversubscribed $56 million round was led by Base10 Partners, with strategic participation from Experian and Synchrony. Existing investors Emergence Capital and Lightspeed Venture Partners also joined the round, bringing Casap’s total funding to $90 million. This capital injection follows a period of rapid growth for the firm, which reports a 10X revenue increase over the past year, significantly exceeding its original targets.

The platform is designed to deploy specialized AI agents that function within a financial institution's existing infrastructure. Unlike generic chatbots, these agents are programmed to apply specific institutional policies and procedures to investigate and resolve high-stakes operations. While the company initially focused on transaction disputes, the new funding will support an expansion into fraud investigation, collections, claims, and complex exceptions.

Casap’s technology works by integrating with fragmented legacy systems to collect evidence and make decisions. However, it maintains a human-in-the-loop model, escalating cases that require subjective judgment to staff. The company currently serves over 100 clients, including banks, credit unions, fintechs, and payment processors. By automating the lifecycle of a dispute—from initial intake and investigation through to decisioning and consumer communication—the platform aims to reduce resolution times from months to days and significantly lower fraud losses. Every decision made by an agent is supported by a clear record of actions, intended to make outcomes explainable and auditable for regulatory compliance.

The companies involved

Casap has positioned itself as a specialist in the "agentic" AI space, focusing specifically on the highly regulated and data-intensive requirements of the financial sector. The involvement of Experian, a global leader in information services and credit reporting, underscores the importance of data lineage and trust in these automated workflows. Experian’s presence in the fintech ecosystem is extensive, often acting as both a data provider and a strategic investor in technologies that enhance credit and fraud operations.

Synchrony, another strategic investor, is a major player in consumer finance, managing credit programs for a wide range of brands and healthcare providers. Their participation suggests a move toward integrating AI agents into large-scale consumer credit operations where dispute accuracy is paramount for maintaining brand trust. The round also sees continued backing from Emergence Capital and Lightspeed Venture Partners, two venture firms with deep portfolios in enterprise software and fintech. Base10 Partners, which led the round, focuses on automation for the real economy, a thesis that aligns with Casap’s goal of redesigning manual back-office labor in banking.

What FF News has reported before

FF News has tracked the increasing intersection of AI and data integrity within the financial services landscape. We previously reported on how Experian and Solidatus Partner to Secure AI Data Lineage and Trust, a move that parallels the industry's need for the "explainable and auditable" outcomes Casap promises. Our coverage of Experian Health Acquires eInsights to Eliminate Revenue Leakage in Healthcare further illustrates the broader trend of using automated data tools to prevent financial loss.

Additionally, the rise of the "agent economy" is a recurring theme in our recent reporting. We covered how Harbor Emerges from Stealth with $10M to Insure the Growing AI Agent Economy, highlighting the infrastructure being built to support autonomous software. Similarly, the launch of Mandl to Rebuild Commercial Insurance with AI-Native Ecosystem reflects a wider market shift toward replacing legacy manual engines with AI-native alternatives.

What this means

This funding marks a pivot point in the fintech AI narrative, moving from simple efficiency to complex outcomes. For years, banks have used AI to summarize documents or power basic chatbots, but the industry is now targeting the core logic of the back office. This puts significant pressure on traditional Business Process Outsourcing (BPO) firms that rely on human labor for manual investigations. If AI agents can truly cut fraud losses in half while maintaining an auditable trail, the economic argument for human-led dispute teams becomes difficult to sustain. However, the sector faces an open question regarding regulatory scrutiny: as agents take on more high-stakes decisions in collections and hardship, the industry must prove that these systems do not inadvertently codify bias.