Decagon
-41%
est. 2Y upside i
Decagon is the leading conversational AI platform empowering every brand to deliver concierge customer experience. Our AI agents provide intelligent, human-like responses across chat, email, and voice, resolving millions of customer inquiries across every language and at any time.
Rank
#3141
Sector
Artificial Intelligence, Customer Service Automation
Est. Liquidity
~3Y
Data Quality
Data: MediumDecagon offers explosive growth but at a staggering $4.5B valuation (128x ARR).
Last updated: July 19, 2026
Revenue reaches $306M ARR in 2 years. An IPO wave and category leadership sustain a 100x multiple, yielding a $30.6B exit. After 20% dilution, common stock returns +80%.
Revenue grows to $306M but multiple compresses to 10x (in line with public comps like CRM, ZEN, NOW), giving a $3.06B valuation. Dilution of 20% leads to a -52% return.
Despite revenue growth, multiple collapses to 5x due to incumbent competition and slowing growth, valuing the company at $1.53B. After dilution and preference, common stock returns -86%.
Preference Stack Risk
moderateFunding Intensity
1070%Total funding of $481M represents 10.7% of the $4.5B valuation, so preferred liquidation preference is manageable but could dilute common in downside scenarios.
Dilution Risk
moderateGiven the recent large round, a future raise within 2 years is moderately likely; we assumed 20% dilution from option pools or additional funding.
Secondary Liquidity
activeA $4.5B employee tender occurred in early 2026, indicating active secondary market for employee shares.
Sales — 28 roles
- Associate Solutions Engineer · San Francisco
- Director of Solutions Engineering, Strategic · New York City
- Director of Solutions Engineering, Strategic · San Francisco
- +25 more →
Engineering — 23 roles
- Engineering Manager, Agent Orchestration · San Francisco
- Engineering Manager, Agents · London
- Senior Data Scientist · San Francisco
- +20 more →
General & Administrative — 13 roles
- Accounting and Payroll Analyst · Costa Rica
- Contracts Negotiator · San Francisco
- Executive Assistant · New York City
- +10 more →
APM & Post Sales Operations — 10 roles
- Agent Success Manager · London
- AI Conversation Designer · Remote
- Customer Engineer, Agent Builder · San Francisco
- +7 more →
Founder's Office — 5 roles
- Director of Data & Analytics · San Francisco
- Founder's Office, Founder Associate · San Francisco
- Pricing Operations Lead · San Francisco
- +2 more →
Product & Design — 4 roles
- Product Manager · San Francisco
- Product Manager, Research · San Francisco
- Product Manager, Voice Agent · San Francisco
- +1 more →
Marketing — 1 role
- Brand Designer · San Francisco
Last updated: March 10, 2026
Questions to Ask at the Interview
Strategic questions based on Decagon's data — designed to show you've done your homework.
- 1
“How does Decagon plan to defend against Salesforce's AI integration in service clouds?”
- 2
“What is the unit economics of the per-resolution pricing model and how does it scale?”
- 3
“Given the recent tender at $4.5B, what is the expected timeline to IPO and what milestones are needed?”
Community
Valuation Sentiment
Our model estimates -41% upside. What do you think?
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Disclaimer: This analysis is AI-generated and does not constitute financial or career advice. Always conduct your own due diligence.