Rogo, a New York-based AI platform built for finance, closed a $160M Series D on April 29 led by Kleiner Perkins, with Sequoia, Thrive Capital, Khosla Ventures, and J.P. Morgan Growth Equity Partners participating. The round brings total funding to more than $300M and follows a $75M Series C earlier this year. Rogo says more than 35,000 professionals at investment banks, private equity firms, and asset managers now use its product.
The capital is targeted at scaling Felix, the company's agentic system that runs multi-step finance workflows — deal screening, CIM generation, buyer outreach, data-room diligence — without a human prompting each step. That positions Rogo against both internal AI builds at large banks (Goldman, Morgan Stanley, JPMorgan) and horizontal agent platforms trying to enter regulated industries from above.
Vertical AI for regulated industries has been the cleanest fundraising story of 2026. Rogo joins a pattern visible in legal tech (Harvey), healthcare (Abridge), and tax (Numeric, Tabs) where the value proposition is not 'better model' but 'we have the workflow embeddings, the auditability, and the compliance posture that a horizontal foundation model cannot offer'. The signal investors are paying for is that finance buyers will write a six-figure annual check faster for a focused tool than for a general assistant.
Takeaway for learners: if you are deciding what kind of AI product to build, watch which deals close fastest. The biggest 2026 finance and legal rounds are going to companies that don't try to compete with Claude or GPT-5.5 directly — they sit on top of those models and own a workflow that a generalist model can't enter without a domain partner. Domain depth is now a moat, not a constraint.