Rogo, an AI platform for finance, raised $75 million in its Series C funding round at a $750 million valuation. The round was led by Sequoia Capital, with participation from new investors like Henry Kravis and Wells Fargo, alongside returning backers such as Thrive Capital, Khosla Ventures, Tiger Global, and J.P. Morgan.
Rogo’s Series C round totals $75 million and positions the company at a post money valuation of $750 million. This marks a significant uptick from its April 2025 Series B, which was valued at $350 million post money. The funding is earmarked for scaling its agentic AI system, accelerating product development, hiring, and expanding into Europe via a new London office to support cross border operations. With over 25,000 users at firms like Rothschild, Jefferies, and Lazard, the capital aims to deepen integrations and customize deployments for global financial institutions.
Sequoia Capital led the round, signaling confidence in Rogo’s potential to automate high finance tasks amid a broader AI investment surge. Other participants include J.P. Morgan, Thrive Capital, Khosla Ventures, Mantis Venture Capital, Stonecroft Management, BoxGroup, Positive Sum, Alt Capital, Truist Ventures, Henry Kravis, and Wells Fargo. This mix of venture firms and strategic financial players suggests synergies for product adoption and market access, though it raises questions about how AI might reshape roles in banking, potentially automating junior level work.
Founded in 2022 in New York, Rogo builds autonomous AI agents that integrate with financial data sources to produce outputs like Excel models and investment memos. Led by CEO Gabe Stengel and Co-founder/COO John Willett, the company now has over 100 employees and focuses on secure, enterprise grade AI for productivity in an industry reliant on outdated tools. The funding supports ongoing innovations, such as partnerships with OpenAI, LSEG, and PitchBook, amid a competitive landscape.

Rogo Technologies Inc., a New York-based startup specializing in AI tools for the financial sector, has secured $75 million in its Series C funding round. This round, led by Sequoia Capital, values the company at $750 million post money, representing more than a doubling from its $350 million valuation following the April 2025 Series B. The investment brings Rogo’s total funding to over $165 million since its inception in 2022, underscoring growing investor enthusiasm for AI applications in high stakes financial workflows.
The Series C participants include a blend of new and returning investors, reflecting strategic alignment with Rogo’s mission to modernize finance through AI. New backers such as Henry Kravis (co-founder of KKR) and Wells Fargo bring domain expertise and potential for enterprise adoption, while repeat investors like Thrive Capital, Khosla Ventures, Tiger Global, and J.P. Morgan Growth Equity Partners demonstrate continued confidence. Additional contributors encompass Mantis Venture Capital, Stonecroft Management, BoxGroup, Positive Sum, Alt Capital, and Truist Ventures. This diverse investor base not only provides capital but also opens doors to partnerships in banking and investment, areas where Rogo’s tools are designed to integrate seamlessly.
Rogo’s funding history illustrates rapid scaling in a competitive AI fintech space. The company began with a $7 million Seed round in February 2024, led by AlleyCorp and including Company Ventures, BoxGroup, and ScOp Ventures. This was followed by an $18 million Series A in October 2024, led by Khosla Ventures. The April 2025 Series B raised $50 million, led by Thrive Capital with J.P. Morgan and Tiger Global joining, at a $350 million post money valuation. The latest Series C builds on this trajectory, with cumulative funding exceeding $165 million across four rounds.
| Funding Round | Amount Raised | Date | Lead Investor | Key Participants | Post Money Valuation |
| Seed | $7 million | February 2024 | AlleyCorp | Company Ventures, BoxGroup, ScOp Ventures | Not disclosed |
| Series A | $18 million | October 2024 | Khosla Ventures | BoxGroup, AlleyCorp, Alt Capital (implied from patterns) | Not disclosed |
| Series B | $50 million | April 2025 | Thrive Capital | J.P. Morgan Growth Equity Partners, Tiger Global, Patrick O’Shaughnessy | $350 million |
| Series C | $75 million | January 2026 | Sequoia Capital | Henry Kravis, Wells Fargo, Thrive Capital, Khosla Ventures, Tiger Global, J.P. Morgan, Mantis VC, Stonecroft Management, BoxGroup, Positive Sum, Alt Capital, Truist Ventures | $750 million |
The proceeds from the Series C are primarily allocated to scaling Rogo’s agentic end to end AI system for financial workflows, expanding deployments across large global firms, and accelerating international growth. A key initiative is the opening of a London office, Rogo’s first international outpost, to tap into Europe’s financial hub and support EMEA clients with localized regulatory compliance and data standards. This expansion is led by Co-founder and COO John Willett, who is relocating to London full time. The funding also extends the company’s runway for accelerated product development, hiring (with the team now over 100 employees across New York and London), and client base growth among financial institutions and asset managers. As Willett noted, “We’re seeing European financial institutions shift beyond pilots to scaled deployment of enterprise grade AI, and our London office represents an investment to meet that moment.”
Rogo’s core offering is an enterprise grade AI platform that acts as a “thought partner” for financial decision makers, automating tasks like deal stress testing, investment framework building, and client meeting preparation. It features autonomous financial agents integrated with firm systems (e.g., SharePoint, CRM, market data, filings, and proprietary sources), producing auditable outputs such as Excel models, investment memos, diligence materials, and slide decks. The platform’s chat first interface allows plain English prompts, with pre built “Quick Actions” for tasks like company profiles and earnings comparisons. A standout feature is the spreadsheet agent, which audits, edits, and refreshes complex models. Rogo leverages a proprietary stack including fine tuned GPT-5, Gemini 3, and smaller models, grounded in data from partners like LSEG, PitchBook, Quartr, OpenAI, Preqin, and Crunchbase. Deployments emphasize security, with ISO/IEC 42001 certification and single tenant instances, priced at approximately $3,300 per seat annually through multi year contracts.
The company serves over 25,000 professionals at elite institutions, processing 50,000 daily queries and saving the equivalent of 500 years of human work. Clients include Rothschild, Jefferies, Lazard, Moelis, Nomura, GTCR, and Truist Securities, where integrations have boosted productivity and reduced risk, as highlighted by Truist Securities CEO Tom Hackett: “Successful integration, boosted productivity, reduced risk, and increased capacity for bankers to focus on relationships and growth.” Founded by former bankers and investors Gabe Stengel (CEO) and John Willett (COO), Rogo’s team includes ex finance professionals who provide white glove support for change management. Recent milestones include acquiring Subset in September 2025 for spreadsheet agents, achieving ISO certification, hiring President Rahul Rekhi in October 2025, and rolling out Gemini 3 integration in November 2025.

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In the broader market context, Rogo operates in a rebounding global investment banking sector, with fees reaching $117 billion in 2024 and strong growth in MENA (24%) and Asia (35% of historical deal value). The addressable market spans investment banking, private equity (100,000 professionals), hedge funds, and corporate development (30,000+ at Fortune 2000 firms). However, competition is fierce from data incumbents like FactSet (Mercury search, Pitch Creator), S&P Capital IQ (ChatIQ), and Bloomberg (AI summaries via Bloomberg GPT), which offer deep data moats but slower innovation. Specialists like Mosaic (deal modeling) and in-house AI developments at banks like JPMorgan and Goldman Sachs pose additional threats.
| Competitor | Key Features | Strengths | Weaknesses |
| FactSet | Mercury conversational search, Pitch Creator for auto-built pitchbooks | Proprietary data, reduces manual work by 80% | Slower iteration, high pricing ($30,000+ annually) |
| S&P Capital IQ | Document Intelligence, ChatIQ with Kensho | Broad data, multi year contracts | Complex UI |
| Bloomberg | AI earnings summaries in Terminal | Large install base | Limited customization |
| Mosaic | Digital Deal Modeling | Automates Excel models, usage based pricing | Narrow focus, potential commoditization |
| In-House (e.g., JPMorgan, Goldman) | Proprietary LLM stacks | Data security, cost reduction | Resource intensive for smaller firms |
Challenges for Rogo include dependency on third party models (e.g., OpenAI, Google), which could face pricing volatility or access issues; evolving AI regulations demanding explainability and bias mitigation; and retaliation from incumbents bundling AI into existing licenses. Despite these, the funding positions Rogo for growth through geographic expansion (EMEA/APAC via LSEG partnerships), product enhancements (e.g., deep research agents, GPT-5 upgrades), and TAM broadening to private markets and buy-side workflows. CEO Gabe Stengel emphasized the vision: “The tools finance relies on today were built 50 years ago. But in the next few years, AI will transform every part of how finance works.” This round, anticipated since Sequoia’s interest in October 2025, could accelerate AI adoption in finance, potentially restructuring roles and lowering costs, though it invites scrutiny on job displacement.
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