Rogo, an AI platform built for financial services, raised $160 mn in Series D funding led by Kleiner Perkins. Sequoia, Thrive Capital, Khosla Ventures, J.P. Morgan Growth Equity Partners, BoxGroup, Mantis VC, Jack Altman, Evantic, and Positive Sum also joined the round.
The latest financing pushes Rogo’s total funding above $300 mn. The company plans to use the capital to expand internationally, deepen relationships with large financial institutions, and scale Felix, its AI agent platform.
The timing matters. Financial firms are no longer testing AI in isolated workflows or internal sandboxes. According to Beinsure analysts, large banks, advisory firms, and asset managers now want AI systems embedded directly into daily operations, where deal execution, research, compliance, and portfolio analysis intersect.
Financial institutions are restructuring workflows around AI agents capable of operating asynchronously across transactions, portfolios, and client relationships.
Traditional analyst-heavy pyramids face pressure as firms search for systems that automate more financial reasoning and operational work.
Rogo positions itself as a long-term AI infrastructure partner for institutions moving through this transition. The company combines AI agents, embedded engineering teams, and finance-specific expertise tied to regulatory, legal, security, and operational requirements.
More than 35,000 financial professionals across over 250 institutions now use the platform, according to the company.
Customers include Rothschild & Co, Jefferies, Lazard, Moelis, and Nomura. Rogo says firms deploy its software across origination, execution, advisory, and portfolio intelligence workflows.
Gabriel Stengel, CEO and co-founder of Rogo, said leading financial institutions are moving beyond basic task automation toward AI-native operating structures. According to Stengel, firms increasingly deploy agentic systems capable of learning across workflows and improving with every transaction.
Rogo recently launched Felix, its autonomous AI agent designed for multi-step financial processes. The system handles workflows including deal screening, confidential information memorandum generation, buyer outreach, and data room diligence.
The company says Felix works within how financial institutions already make decisions rather than forcing entirely new operational structures.
That distinction matters in finance, where compliance requirements, approval chains, and fragmented internal systems slow software adoption.
Mamoon Hamid, partner at Kleiner Perkins, said Rogo has gained trust from some of the most demanding institutions in finance because of its technical depth, proprietary data integrations, and sector-specific expertise. He added that platforms operating as infrastructure layers across an industry create unusually large market opportunities.
Rogo builds its platform around generative AI models trained specifically for financial services workflows.
The system combines financial reasoning models with integrations across internal firm data and external market information to automate research and accelerate analytical tasks.
The company says users receive analyst-grade insights within seconds rather than hours of manual work. In practice, the bigger draw for firms sits elsewhere. Speed matters, sure, but workflow compression matters more.
A junior banker spending less time stitching together data rooms or CIM drafts changes operating economics fast.
Large financial institutions have started treating AI less like productivity software and more like operational architecture. Rogo wants to sit inside that shift before incumbents fully catch up.
