Rogo AI Delivers a Powerful Fix for Wall Street’s Busywork Problem

Junior investment bankers have a reputation for working brutal hours, and most of that time goes to work that has nothing to do with strategy or client relationships. It goes to pulling comps, formatting slides, and rebuilding the same Excel model for the fifth time that week. Rogo AI was built by people who lived that grind and decided to automate it.

Rogo has grown from a Princeton senior thesis project into an AI platform used inside some of the largest investment banks and private equity firms in the world. This guide covers what Rogo AI actually does, who founded it, how its technology works, what it has raised in funding, who its customers are, and what it is like to work there.

What Is Rogo AI

Rogo AI, officially Rogo Technologies Inc, is a New York-based company that builds an AI platform purpose-built for investment banking, private equity, and asset management. Its product, called Felix, sits inside a firm’s existing systems and data sources and handles research, financial analysis, and document creation that analysts would otherwise do by hand.

Unlike a general-purpose chatbot, Felix is trained and deployed specifically around finance workflows. It connects to a firm’s internal data such as SharePoint and CRM systems, along with external financial data providers, filings, and market research, then produces outputs bankers actually use: audited Excel models, investment memos, diligence materials, and pitch decks.

As of mid 2026, Rogo says more than 50,000 bankers and investors across over 350 institutions use the platform, sending more than 150,000 queries a day. Customers include major names like Truist Securities, Nomura, and Baird, along with a majority of bulge-bracket investment banks, according to company statements.

Rogo AI Founders

Rogo AI founders Gabriel Stengel, John Willett, and Tumas Rackaitis met as classmates at Princeton University, alongside teams connected with top engineering hubs like Cornell Tech for future tech leaders. All three had spent time in finance before starting the company, with Stengel and Willett working at firms including J.P. Morgan and Lazard.

Stengel has described sleeping under his desk during his time as a junior investment banking analyst at Lazard, an experience that shaped Rogo’s focus on eliminating the most repetitive parts of the job rather than replacing bankers outright. The idea for the company traces back to the founders’ senior thesis, an early chatbot built for econometrics work, which they revisited and expanded once GPT-3 became available to developers.

The trio founded Rogo in January 2022. Stengel serves as CEO, while Willett holds the Chief Operating Officer title. Rogo has since grown its team through acquisitions as well as hiring, including buying Plux AI, a UK-based firm that tracks financial market developments, and Offset, an AI agent company that strengthened Rogo’s automated execution capabilities.

How Rogo AI Actually Works

Rogo’s core product, Felix, is built around what the company calls agents rather than a simple question-and-answer chatbot. The distinction matters in practice. A generic AI chatbot can summarize a document or answer a factual question. An agent is meant to carry out a multi-step workflow the way a junior analyst would, from pulling the right data through to producing a finished deliverable. This same agentic design is also transforming automated research environments, where teams like Periodic Labs are building an AI scientist to automate complex discovery.

Forward Deployed Bankers

One detail that sets Rogo apart from most enterprise software vendors is its use of Forward Deployed Bankers, a term for experienced finance professionals who work directly inside partner institutions. These are not typical customer support staff. They help onboard teams ranging from junior analysts to Managing Directors and act as ongoing advisors on how to fold Rogo into existing workflows.

Integrations and Data Access

Felix connects to the systems a bank already relies on, including SharePoint, CRM platforms, and financial data sources covering market data, filings, and proprietary research. This is part of why Rogo pitches itself as an operating system for the firm rather than a standalone tool analysts open occasionally. The platform is also built to meet enterprise compliance requirements, including SOC 2, ISO 27001, GDPR, CCPA, and the EU AI Act.

For readers curious about how agent-based AI tools differ from earlier chatbot-style assistants more broadly, our explainer on how to build an AI agent breaks down the mechanics behind that shift, and our guide to what an AI chatbot actually is is a useful primer if agentic AI is a new concept.

Rogo AI Funding History

Rogo has raised money quickly since its 2022 founding, reflecting strong demand from an industry that has historically been slow to adopt new technology.

• Series A, 2024: $18.5 million, an early round that let the company begin building out its finance-specific agent architecture
• Series B, April 2025: $50 million aimed at developing what the company described as its ultimate vision of a true AI analyst
• Series D, 2026: $160 million led by Kleiner Perkins, with participation from Sequoia Capital, Thrive Capital, Khosla Ventures, J.P. Morgan Growth Equity Partners, BoxGroup, Mantis VC, Jack Altman, Evantic, and Positive Sum

The Series D round brought Rogo’s total funding to more than $300 million. Forbes has reported the company’s revenue grew from roughly $2 million in 2024 to more than $15 million in 2025, a pace that helped land Rogo a spot on Forbes’ AI 50 list of promising private AI companies.

For a look at how another enterprise AI company built for a single professional vertical has scaled its funding and customer base, our profile on GC AI, which brings a similar agentic approach to in-house legal teams, covers a comparable growth pattern in a different industry.

Rogo AI Customers and Real World Use Cases

Rogo’s customer base skews toward large, well-known financial institutions rather than small firms experimenting with AI on the side. Truist Securities CEO Tom Hackett has credited the platform with boosting productivity and creating capacity for bankers to focus on client relationships. Nomura’s international head of investment banking, Patrice Maffre, has said Rogo lets teams analyze market data and identify opportunities with more speed and precision.

Baird Global Investment Banking COO Ross Williams has pointed to a less obvious benefit: talent retention. According to Williams, Rogo saves time, improves consistency in deliverables, and is valued by junior bankers because it supports a better work-life balance, a detail worth noting given how much of Rogo’s origin story is tied to burnout in junior banking roles.

Rogo AI Careers

Rogo is actively hiring as it scales past $300 million in total funding and grows its list of institutional customers. The company has said it looks for people with backgrounds spanning top financial institutions, technology companies, and academia, including former investment bankers and AI researchers.

Roles span engineering, applied research, and the Forward Deployed Banker program described earlier, which requires real finance experience rather than a traditional software sales background. You can view current openings directly on the Rogo AI careers page.

Rogo AI Compared to Other Finance AI Tools

Rogo is not the only company building AI for financial services, and it is worth knowing how it differs from the alternatives people often compare it to.

Harvey takes a similar approach in legal services rather than finance, and raised $300 million at a $3 billion valuation in late 2025, which gives a sense of how much capital is flowing into vertical AI built for a single professional industry. Bloomberg has its own AI-powered tools built into its terminal, giving it a data distribution advantage but less flexibility for firms that want a platform tailored specifically to their internal workflows. Tegus and Visible Alpha both focus more narrowly on research and expert call transcripts rather than the broader agentic workflow automation Rogo offers.

The clearest way to think about Rogo’s position is that it is trying to be the operating layer that sits on top of data providers like these, rather than competing purely as another data source itself.

Common Misconceptions Rogo AI

A handful of mix-ups come up often enough to flag directly.

Assuming Rogo is a general-purpose AI chatbot. It is built specifically for finance workflows and connects into a firm’s own systems, which is a different product category than something like a broad consumer assistant.

Confusing the founders’ backgrounds. All three Rogo AI founders, Gabriel Stengel, John Willett, and Tumas Rackaitis, came from finance roles at firms like J.P. Morgan and Lazard before starting the company, not from a pure engineering background.

Underestimating how enterprise-focused Rogo is. This is not a self-serve tool for individual analysts to sign up for on their own. Deployments are bespoke, and the Forward Deployed Banker model reflects how tightly Rogo works with each client.

Frequently Asked Questions

Who founded Rogo AI?

Gabriel Stengel, John Willett, and Tumas Rackaitis founded Rogo in January 2022 after meeting as classmates at Princeton University.

What does Rogo AI actually do?

It provides an AI platform, called Felix, that automates research, financial modeling, and document creation for investment banks, private equity firms, and asset managers.

How much funding has Rogo AI raised?

More than $300 million across multiple rounds, including an $18.5 million Series A in 2024, a $50 million Series B in 2025, and a $160 million Series D led by Kleiner Perkins in 2026.

Does Rogo AI have open jobs?

Yes. The company is hiring across engineering, research, and its Forward Deployed Banker program, with listings on its careers page.

Who uses Rogo AI?

More than 50,000 bankers and investors across over 350 institutions, including Truist Securities, Nomura, and Baird.

Is Rogo AI the same as a general AI chatbot like ChatGPT?

No. Rogo is purpose-built for finance workflows and integrates directly into a firm’s internal systems and data, producing institutional-grade outputs rather than general conversational answers.

Conclusion

Rogo AI turned a shared frustration with the junior banker grind into one of the fastest-growing enterprise AI companies in finance. With more than $300 million raised, a customer list that includes some of Wall Street’s biggest names, and an aggressive hiring push, the company has positioned Felix as infrastructure rather than just another AI tool bankers might try once and abandon. For background on the underlying technology that makes tools like Felix possible, Wikipedia’s overview of large language models is a solid starting point.