About
Rogo builds a secure, finance-specific AI platform that automates research, analysis, due diligence, financial modeling, and document workflows for investment banks, private-equity firms, asset managers, and other financial institutions. Its differentiation is a combination of finance-trained AI models, integrations with internal and external financial data, source citations, auditability, and agent-based workflow automation tailored to high-finance processes.
Market
Rogo competes in enterprise AI for financial research, analysis, and workflow automation, positioning itself as a finance-native platform for leading financial institutions rather than a generic chatbot. It differentiates through custom-trained finance LLMs, embedded access to firm and financial-data systems, autonomous agents that execute multi-step work, and auditable institutional outputs; its competitive set spans AI research platforms and incumbent financial-data terminals.
Rogo targets large and leading financial institutions, especially investment banks, private-equity firms, hedge funds, and corporate-finance teams with complex, high-stakes workflows and proprietary data. Its primary users and buyers are finance teams, bankers, investors, and finance leaders seeking greater productivity, governance, and consistency in institutional deliverables.
At a Glance
Problem
Finance professionals still spend substantial time on manual research, company profiling, meeting preparation, financial modeling, and document creation—work that is repetitive but requires expensive, specialized judgment. Rogo targets the resulting productivity, risk, and capacity problem: OpenAI reported that Rogo had served more than 5,000 bankers and saved analysts over 10 hours per week on tasks including meeting preparation, company profiling, and market research. The clearest killer use case is accelerating the analyst-to-banker research workflow, turning scattered financial information into decision-ready insight while freeing professionals to focus on clients, transactions, and investment decisions.
Product / Service
Rogo is an enterprise AI platform purpose-built for institutional finance. It combines financial data from providers such as S&P Global, Crunchbase, and FactSet with the firm's own data, enabling users to search and analyze more than 50 million financial documents. Its finance-specific models are trained on professionally labeled data and support research, financial modeling, document creation, and other complex workflows rather than functioning as a generic chatbot.
The delivery model is bespoke and enterprise-oriented: Rogo offers single-tenant and other flexible deployment options, end-to-end encryption, no training on customer data, and a white-glove implementation led by former finance professionals. The benefit is a secure, integrated layer for automating high-value financial work, with the stated outcomes of faster productivity, lower operational risk, and more capacity for bankers and investors.
Market
Rogo competes in vertical AI and enterprise software for financial services, with a focus on investment banks, private-equity firms, asset managers, and hedge funds. Its competitive set spans AI-native research and workflow products such as Hebbia and AlphaSense, as well as established financial-information platforms including S&P Capital IQ Pro, FactSet, and Bloomberg Terminal. Rogo differentiates around finance-specific workflow automation, document-driven analysis, and deployment suitable for highly regulated institutions.
The company is commercial and has meaningful reported adoption rather than being pre-revenue: OpenAI cited more than 5,000 bankers using the platform in late 2024, while a 2026 Jefferies profile said Rogo counted Jefferies among its users and worked with the majority of bulge-bracket banks. Rogo also announced $160 million in Series D financing in April 2026 and said it was deployed across many leading investment banks, asset managers, and private-equity firms. Publicly available evidence does not disclose revenue or pricing, so revenue scale cannot be quantified, but the customer, deployment, and financing evidence indicates substantial enterprise traction.
Founders & Leadership
Funding History
AlleyCorp
Khosla Ventures
Thrive Capital
Sequoia Capital
Kleiner Perkins
Recent News
Rogo made Claude Opus 5 available in its model selector, adding Anthropic’s latest model to the platform.
Rogo announced access to Dow Jones Newswires content, including The Wall Street Journal, MarketWatch, Barron’s, and Investor’s Business Daily, for clients using Rogo.
Rogo announced an extension of its Snowflake integration through a Snowflake managed Model Context Protocol server, allowing customers to bring Snowflake data into Rogo’s AI workflows.
Rogo integrated with Intralinks DealCentre AI so finance teams can securely analyze live virtual data-room content and conduct diligence without repeatedly downloading and re-uploading files.
Rogo added Fable 5, described as Anthropic’s newest Claude model, through an opt-in early-access program.
Rogo’s May product update introduced Felix, an AI agent that can generate client-ready PowerPoint decks, Excel models, and Word documents, alongside seven enterprise integrations including Affinity, Microsoft Teams, Moody’s, Daloopa, Dropbox, Granola, and Slack.
Rogo partnered with Daloopa to bring its audit-ready, source-linked financial data covering more than 5,500 public companies into Rogo’s AI workflows.
Rogo announced $160 million in Series D financing led by Kleiner Perkins, with participation from Sequoia, Thrive Capital, Khosla Ventures, J.P. Morgan Growth Equity Partners, and other investors. The company said the funding would support deeper integrations, embedded teams, and expansion across EMEA and Asia.
Rogo added Third Bridge’s expert-network research and interview library as a financial data partner, enabling customers to combine human research insights with Rogo’s generative-AI workflows.
Rogo announced a $75 million Series C led by Sequoia Capital, bringing total funding above $165 million, and said it was opening its first international office in London to accelerate European expansion.
Active Roles
82Business Model
Rogo sells its AI platform to financial institutions using custom enterprise pricing based on users, document-processing volumes, and integration requirements. It also partners with firms to build custom AI solutions.
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Key Investors
Sequoia Capital; Thrive Capital; J.P. Morgan Growth Equity Partners; Tiger Global; Khosla Ventures; BoxGroup; MANTIS Venture Capital; Henry Kravis; Wells Fargo; GTCR; Truist Ventures; Positive Sum; Alt Capital