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Rogo

Financial AI / Enterprise AI · New York, New York, USA

Matrix Employer Score™

94.58

Medium confidence

Employer Intelligence Evidence

Evidence-backed signals supporting our assessment of this AI employer.

Evidence-backed
AI Impact
High Confidence
96
3 evidence items
View evidence

Supporting signal

Enterprise AI Deployment & Business Impact

Enterprise AI Deployment & Business Impact

Medium Confidence

Oct 7, 2026

Harbor View reports 95% monthly active adoption after its firmwide Rogo rollout and one to two weeks saved on confidential information memorandum production.

Source: Rogo official materialCompanyOpen source ↗

Enterprise AI Deployment & Business Impact

High Confidence

Sep 26, 2026

Rogo reports 50,000+ bankers and investors, 150,000+ daily queries and 350+ institutions served, with deployments across firms such as Nomura, Truist, Baird and other major financial institutions.

Source: RogoCompanyOpen source ↗

Finance Ai Scale

High Confidence

Sep 26, 2026

Rogo reports 50,000+ bankers and investors, 150,000+ daily queries and 350+ institutions served, with deployments across firms such as Nomura, Truist, Baird and other major financial institutions.

Source: RogoCompanyOpen source ↗
Evidence items: 3Methodology: v1.2Updated: Oct 7, 2026
AI Leadership
High Confidence
94
3 evidence items
View evidence

Supporting signal

Enterprise AI Platform Leadership

Enterprise AI Platform Leadership

High Confidence

Oct 7, 2026

Rogo's Big Finance Bench documents a 928-question financial evaluation set, a calibrated 50-question public subset with reference answers and rubrics, and an agent harness. The evaluation initiative is independent of existing product workflows and custom-model descriptions.

Source: RogoCompanyOpen source ↗

Enterprise AI Platform Leadership

High Confidence

Sep 26, 2026

Rogo develops finance-specialized AI agents, custom-trained models and auditable workflows spanning research, diligence, Excel, PowerPoint and institutional data integrations.

Source: RogoCompanyOpen source ↗

Finance Agent Platform

High Confidence

Sep 26, 2026

Rogo develops finance-specialized AI agents, custom-trained models and auditable workflows spanning research, diligence, Excel, PowerPoint and institutional data integrations.

Source: RogoCompanyOpen source ↗
Evidence items: 3Methodology: v1.2Updated: Oct 7, 2026
Employer Strength
High Confidence
97
3 evidence items
View evidence

Supporting signal

Enterprise AI Employer Strength

Enterprise AI Employer Strength

High Confidence

Oct 7, 2026

Rogo reports 450 financial institutions served, 60,000 bankers and investors using its platform, and approximately 200,000 daily user queries. These operational adoption measures provide independent commercial-scale support beyond its previously documented financing.

Source: Rogo Customer StoriesCompanyOpen source ↗

Enterprise AI Employer Strength

High Confidence

Sep 26, 2026

Rogo raised a $75M Series C in 2026, exceeded $165M total funding, expanded to Europe and operates enterprise-grade security and white-glove deployment for global financial institutions.

Source: RogoCompanyOpen source ↗

Finance Enterprise Scale

High Confidence

Sep 26, 2026

Rogo raised a $75M Series C in 2026, exceeded $165M total funding, expanded to Europe and operates enterprise-grade security and white-glove deployment for global financial institutions.

Source: RogoCompanyOpen source ↗
Evidence items: 3Methodology: v1.2Updated: Oct 7, 2026
Market Transferability
High Confidence
91
3 evidence items
View evidence

Supporting signal

Enterprise AI Skill Transferability

Enterprise AI Skill Transferability

Medium Confidence

Oct 9, 2026

Rogo documents siloed customer data environments, zero-trust and least-privilege access, strong authentication, encryption across storage and networks, and third-party vulnerability testing.

Source: RogoprimaryOpen source ↗

Enterprise AI Skill Transferability

High Confidence

Sep 26, 2026

LLM, retrieval, agent and enterprise integration skills transfer broadly, but investment-banking and institutional-finance specialization materially constrain full portability.

Source: RogoCompanyOpen source ↗

Finance Ai Portability

High Confidence

Sep 26, 2026

LLM, retrieval, agent and enterprise integration skills transfer broadly, but investment-banking and institutional-finance specialization materially constrain full portability.

Source: RogoCompanyOpen source ↗
Evidence items: 3Methodology: v1.2Updated: Oct 9, 2026

Matrix Employer Score™ components are supported by structured employer evidence, versioned methodologies, and confidence ratings.

Hiring Signal

Hiring

Employer Signal

97

Hiring Opportunity

90

Company Overview

Employer Snapshot

AI Category

Financial AI / Enterprise AI

Primary Location

New York, New York, USA

Founded

2021

Employees

150

Why AI Talent Watches Rogo

Rogo develops generative AI and agentic research systems for investment banking, private equity, asset management, and financial institutions.

Why Join

Build AI systems used by investment professionals to perform complex research and financial analysis.

Employer Intelligence

Hiring: Hiring

Talent Competition: Very High

Technical Bar: Very High

AI Talent Matrix Confidence: Medium confidence

Talent Intelligence

Matrix Employer Score™ Breakdown

View Matrix Employer Score™ Methodology →

Core Employer Intelligence

AI Impact

96

AI Leadership

94

Employer Strength

97

Market Transferability

91

Career & Workplace

Career Growth

100

Compensation

100

Engineering Culture

90

Work-Life Balance

80

Evidence-Backed Signals

Career Upside

100

Talent Density

90

Hiring Opportunity

90

Talent & Career Programs

Remote Policy

Hybrid

Visa Sponsorship

Case by Case

Internship Program

Available

New Grad Program

Available

AI Focus

Financial AI / AI Agents / Research Automation / Enterprise AI

Flagship Products

Rogo AI Finance Platform

Data & Methodology

How AI Talent Matrix interprets this employer

Last Updated

9/5/2026

AI Talent Matrix Confidence

Medium confidence

AI Talent Matrix scores and signals are comparative employer-intelligence indicators and should not be interpreted as guarantees of hiring, compensation, career outcomes, or individual fit.

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