As of Sep 22, 2026
All companies

Customer supportFounded

Decagon

Resolves customer questions and takes follow-up actions.

Jesse Zhang
Jesse Zhang
Ashwin Sreenivas
Ashwin Sreenivas

Business performance

Read the revenue model
Valuation
$4.50B
ARR
Not disclosed
Annual revenue
Not disclosed
Users / customers
Not disclosed
Net income
Not disclosed
Revenue multiple
Unavailable

Reading the numbers

Enterprise contracts incur implementation costs after signing. Employee secondary transactions are liquidity events, not customer revenue or proven CEO cash proceeds.

01What it sells and who buys it

Decagon supplies customer-service agents that connect to enterprise data and systems. Its product aims to complete support work rather than only suggest responses.

02How the business makes money

Revenue comes from enterprise agreements scoped around support work and deployment requirements. Contract expansion follows broader use and support volume; individual prices are not publicly disclosed.

03Marketing and customer acquisition

Decagon tested buying intent through direct outreach and delivered integrations after winning contracts.

  1. 01

    Target work beyond answering support questions

    The offer connected customer data and systems to follow-up actions, addressing buyers with existing support budgets rather than only chatbot curiosity.

    Source
  2. 02

    How distribution and adoption expanded

    The founders initially reached buyers through alumni and investor introductions, email and LinkedIn outreach. They tested willingness to pay by discussing concrete functionality and annual contract amounts. Implementation work then produced reference deployments for subsequent enterprise sales.

    Source
  3. 03

    Financing the next stage

    Decagon announced a $4.5 billion valuation in its January 2026 Series D. A subsequent employee tender offer provided liquidity for employees; that does not by itself establish a personal sale by the CEO.

    Source

How the growth mechanism works

  1. Contact a buyer directly
  2. Agree price and scope
  3. Integrate and deploy
  4. Use outcomes in the next sale

Concrete annual terms separate polite interest from buying intent. Hands-on implementation creates references but also delivery cost, so early sales and scaling efficiency require separate evaluation.

04Funding and expansion

Decagon announced a $4.5 billion valuation in its January 2026 Series D. A subsequent employee tender offer provided liquidity for employees; that does not by itself establish a personal sale by the CEO.

05What the transaction changed

Employee share purchase

Undisclosed

The transaction allowing employees to sell part of their holdings closed in March 2026.

More about the founding and key events

Jesse Zhang and Ashwin Sreenivas started Decagon in 2023 to sell AI to customer support organizations. The product aimed to connect internal information with actions that resolved support work. Rippling, Eventbrite and Bilt appeared among its customers in 2024.

Early sales were direct. Sreenivas described asking a former classmate in product management for an introduction to an operations leader, using investor introductions, and contacting strangers through email and LinkedIn. Conversations with more than 100 buyers revealed especially strong pain in customer support. When the founders proposed conditions the product would meet and annual prices around $100,000–$150,000, buyers repeatedly expressed willingness to purchase. Those figures describe examples from early sales discussions.

The founders were profiled at ages 28 and 30 in late 2025. In January 2026, Decagon announced funding at a $4.5 billion valuation. In March, it announced an employee share transaction at the same valuation. Enterprise sales growth and liquidity for some employees appeared together in its development.

Further reading

  1. 01buzzsprout.comRead source
  2. 02decagon.aiRead source
  3. 03decagon.aiRead source
  4. 04research.contrary.comRead source
  5. 05forbes-forbescom-live.non-prod.zephrcf.comRead source
  6. 06webflow2.decagon.aiRead source
  7. 07websummit.comRead source
  8. 08humanx.coRead source