As of Sep 22, 2026
All companies

Financial AIFounded

Rogo

Helps finance teams research, analyze and create reports.

Gabriel Stengel
Gabriel Stengel
John Willett
John Willett
Tumas Rackaitis
Tumas Rackaitis

Business performance

Read the revenue model
Valuation
$2.00B
ARR
Not disclosed
Annual revenue
$15.00M +
Users / customers
Not disclosed
Net income
Not disclosed
Valuation / Annual revenue
133.3×

Annual revenue

USD millions
View observations and sources
PeriodAnnual revenueSource
2024-12-31$2.00Mresearch.contrary.com
2025-12-31$15.00M +research.contrary.com

Reading the numbers

The 2024 and 2025 figures are revenue reported by Contrary. Embedded specialists and data integration carry costs, so profit does not necessarily grow proportionately.

Multiple calculation

Apr 2026 $2.00B ÷ Dec 31, 2025 $15.00M + = 133.3×

01What it sells and who buys it

Rogo supports research, financial models and presentation work in investment banking, asset management and private equity. It adapts AI to institutional data and specialist financial workflows.

02How the business makes money

Revenue comes from organizational software agreements with financial institutions. Integrations and implementation support help expand deployment within an account.

03Marketing and customer acquisition

Rogo paired bankers and engineers with clients to change existing financial workflows.

  1. 01

    Target specific investment-banking work

    Research, modeling and presentation work moves information across tools. The founder used practical banking context to identify where clients spent time.

    Source
  2. 02

    How distribution and adoption expanded

    The founder approaches buyers through specific investment-banking workflows. Bankers and engineers work closely with client firms to implement the product. Institutional deployments, including Jefferies, provide reference cases for selling to other financial organizations.

    Source
  3. 03

    Financing the next stage

    In April 2026, Rogo announced a $160 million Series D led by Kleiner Perkins, with investors including Sequoia, Thrive and J.P. Morgan Growth Equity Partners. Funding supports integrations, embedded client teams and expansion across EMEA and Asia.

    Source

How the growth mechanism works

  1. Identify the workflow
  2. Work alongside the client
  3. Connect data and execution
  4. Expand within the institution

Embedded delivery requires staff but enables integration with real systems and data. Early institutional references support later sales, with integration scope important beyond seat counts.

04Funding and expansion

In April 2026, Rogo announced a $160 million Series D led by Kleiner Perkins, with investors including Sequoia, Thrive and J.P. Morgan Growth Equity Partners. Funding supports integrations, embedded client teams and expansion across EMEA and Asia.

More about the founding and key events

Gabriel Stengel, John Willett and Theodore Rackaitis were profiled at ages 26–27 in 2026. Rogo provides financial institutions with AI for research, analysis and document preparation. Forbes’ 2026 profile reported 150 financial institutions, roughly 25,000 users and more than $15 million in 2025 revenue. Its January 2026 funding valuation was $750 million.

In an interview with customer Jefferies, Stengel connected his experience as a junior banker at Lazard to early sales. Describing the specific effort involved in preparing materials resonated more than a general introduction to AI. Jefferies also identified itself as a user.

Rogo and Hebbia both address the time financial professionals spend reading many sources and producing finished work.

Further reading

  1. 01research.contrary.comRead source
  2. 02jefferies.comRead source
  3. 03rogo.comRead source
  4. 04forbes.com.mxRead source
  5. 05sequoiacap.comRead source
  6. 06sequoiacap.comRead source
  7. 07sequoiacap.comRead source