Rogo

Market position

Rogo describes itself, and is described in press coverage, as a category leader in AI for investment banks and investment firms, with named clients among global banks and advisory firms. Forbes reported revenue growth from $2 million in 2024 to more than $15 million in 2025 and a $750 million valuation at its January 2026 Series C. It competes with vertically integrated data incumbents (FactSet's Mercury and Pitch Creator, S&P Capital IQ Pro with Kensho-backed ChatIQ, Bloomberg's Terminal AI features), deal-process specialists such as Mosaic, other professional-services AI vendors including Harvey, Visible Alpha and Tegus, and in-house LLM stacks being built by large banks such as JPMorgan, Goldman Sachs and Citi.

Rogo positions itself on domain specificity rather than general-purpose AI: its team includes former bankers and investors, its models and workflows are built explicitly for high-finance processes, and deployments are bespoke and single-tenant with enterprise security certifications (SOC2, ISO 27001, CCPA, GDPR, EU AI Act alignment). Investors and press cite its combination of technical depth, proprietary data integrations and licensed data relationships, forward-deployed finance staff, and agentic execution that produces institutional-grade deliverables rather than only answering questions.

Technology

Rogo Pro uses a proprietary financial reasoning stack that combines fine-tuned GPT-5, Gemini 3 and smaller reasoning models, with smaller models handling parsing and retrieval and larger models reserved for high-stakes analysis. The platform ingests internal documents (deal rooms, pitch decks, SharePoint, CRM) alongside licensed feeds including LSEG fundamentals, PitchBook private market data, Quartr earnings transcripts, Capital IQ comparables and international filings, and grounds answers in whichever sources a firm is entitled to access. It includes a spreadsheet agent for auditing and editing multi-tab models, embedded OpenAI deep research agents, and Felix for autonomous multi-step workflows. Deployments are single-tenant, and the company lists SOC2, ISO 27001, CCPA, GDPR and EU AI Act compliance.

Go-to-market

Direct enterprise sales to financial institutions on multi-year, per-seat subscription contracts, with bespoke deployments and white-glove implementation led by ex-finance professionals. Rogo deploys "Forward Deployed Bankers" inside partner institutions to drive adoption from analysts through managing directors. Distribution is also extended through Anthropic's Claude Marketplace and integrations with data and cloud platforms such as Snowflake, LSEG, PitchBook, Quartr and Capital IQ. Revenue expands primarily through seat growth within existing client firms plus paid features and specialized data access.

Investment banks, private equity firms, hedge funds, asset managers and corporate finance teams — from junior analysts to managing directors. Named users include Rothschild & Co, Jefferies, Lazard, Moelis, Nomura, Truist Securities, Baird Global Investment Banking and Tiger Global.

Geography

Headquartered in New York. The company is pursuing global expansion, including plans to open a London office, and has strengthened its European presence through the acquisition of UK-based Plux AI. Clients include international institutions such as Nomura, Rothschild & Co and Lazard.

History

Rogo was founded by Gabriel Stengel, John Willett and Tumas Rackaitis, with sources placing the founding in 2021 (Sacra) and 2022 (Forbes, TechFundingNews, which cites January 2022). The company raised seed funding in February 2024 led by AlleyCorp, an $18 million Series A in October 2024 led by Khosla Ventures, a $50 million Series B in April 2025 led by Thrive Capital at a $350 million post-money valuation, and a $75 million Series C in January 2026 led by Sequoia Capital at a $750 million post-money valuation. In March 2026 it acquired the AI agent company Offset, and it also acquired UK-based Plux AI to strengthen European operations. In April 2026 it announced a $160 million Series D led by Kleiner Perkins, bringing total funding to more than $300 million.

Risks & controversies

Reported competitive pressures include entrenched data incumbents bundling AI into existing terminals and platforms, specialist startups unbundling individual analyst workflows at lower cost, and large banks including JPMorgan, Goldman Sachs and Citi building proprietary LLM stacks internally to protect sensitive data and reduce vendor spending. The business also depends on third-party data licensing agreements (LSEG, PitchBook, Quartr) and on third-party foundation models. Reported user and institution counts differ across sources and dates.