Rogo
Category: AI in Fintech
A secure, enterprise-grade generative AI platform purpose-built for elite financial institutions to automate complex research, financial modeling, and data-intensive workflows. Rogo was founded in 2022. The company is led by Gabriel Stengel. Based in New York, USA. Team size: 101-500. Total funding raised: $310M+. Latest round: Series C, $75.0M, 2026-01, led by Undisclosed. Key investors include Kleiner Perkins, Sequoia Capital, Thrive Capital, Khosla Ventures, J.P. Morgan Growth Equity Partners, Tiger Global, AlleyCorp, BoxGroup, Wells Fargo, Henry Kravis, Eric Schmidt, Mantis VC.
- Founded
- 2022
- Headquarters
- New York, USA
- Team size
- 101-500
- Total funding
- $310M+
Value proposition
Empowers financial professionals to automate the creation of pitchbooks, CIMs, and industry reports while providing high-accuracy financial reasoning and secure access to internal and external data.
Products and solutions
Generative AI Analyst (Core Platform), Felix (agentic AI for multi-step financial workflows), Automated Pitchbook & CIM Generator, Deep Research Engine, Financial Modeling & Spreadsheet Agents, Deal Room / diligence workflows, HoldingsInsight (Portfolio Data Enrichment Tool)
Unique value
Often cited as 'Wall Street's First AI Analyst,' Rogo is built by former investment bankers specifically to handle the high-security, high-accuracy requirements of elite finance that general-purpose LLMs cannot meet.
Target customer
Investment banks, hedge funds, private equity firms, and asset management institutions.
Industries served
Investment Banking, Private Equity, Hedge Funds, Asset Management, Fintech
Technology advantage
Utilizes a proprietary knowledge graph connected to hundreds of millions of financial documents and integrates directly with gold-standard data providers (LSEG, S&P, FactSet) to ensure citation-backed, hallucination-resistant outputs.
How they differentiate
Rogo differentiates itself as 'Wall Street's First AI Analyst,' focusing on high-accuracy financial reasoning and the automation of complex work products like pitchbooks and CIMs, rather than just search. It utilizes a proprietary knowledge graph and secure, hallucination-resistant architecture integrated with gold-standard data from LSEG and S&P Global.
Main competitors
Hebbia, AlphaSense, FinChat.io, Bloomberg (BloombergGPT)
Key partnerships
LSEG (London Stock Exchange Group) - Strategic data integration, OpenAI - Strategic collaboration for deep research capabilities, Quartr - Live earnings call and IR data integration, AWS & Google Cloud - Infrastructure and secure AI modeling (Bedrock/Vertex AI), S&P Global & PitchBook - Financial data licensing
Notable customers
Lazard, Rothschild & Co, Jefferies, Moelis, Nomura, Tiger Global, 250+ global investment banks and investment firms
Major milestones
Founded by former Lazard and JPMorgan analysts (commercial start 2022)., Raised $18.5M Series A led by Khosla Ventures (Oct 2024)., Raised $50M Series B led by Thrive Capital (Apr 2025)., Opened London office; Series C $75M led by Sequoia (Jan 2026)., Acquired Offset for AI agents in financial workflows (Mar 2026)., Raised $160M Series D led by Kleiner Perkins at ~$2B valuation (Apr 2026); launched Felix agentic AI.
Growth metrics
Used by 35,000+ financial professionals at 250+ institutions; multi-million ARR from early 2024; team scaled past 100 (LinkedIn ~200); $2B valuation after Series D.
Market positioning
Premium enterprise-grade generative AI platform for elite financial institutions (Tier 1 investment banks, hedge funds, and private equity).
Geographic focus
Global, with a primary focus on major financial hubs in North America (New York) and Europe (London).
Patents and IP
No registered patents disclosed; holds trademarks for 'ROGO DATA' and relies on proprietary financial reasoning models and secure architecture.
About Gabriel Stengel
Gabriel Stengel is the Co-Founder and CEO of Rogo. Prior to founding the company, he served as an Investment Banking Analyst at Lazard, where he focused on M&A and strategic advisory and helped spearhead the firm's internal AI initiatives. He holds an A.B. in Computer Science from Princeton University (thesis on AI assistants for finance). His experience at Lazard, dealing with the manual intensity of financial analysis, served as the primary catalyst for building Rogo's AI-driven automation platform.
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Official website: https://rogo.ai/