Series D · $250M
$250M Series D.
Vertical + Enterprise · Private company · Deployment
Decagon
✓ VerifiedDecagon is a leading customer-experience agent company with meaningful production adoption and its own agent optimization and evaluation work.
San Francisco, USFounded 2023No public API trackedWeekday review
Editorial intelligence brief
What matters now
Launched Duet Autopilot in June 2026 after announcing $250M in funding in January.
Focus: Customer-experience agents with voice, testing, optimization, and self-improvement
Latest funding
$250M
Series D · source-backed
Tracked funding
$250M
Sum of itemized funding events
Latest valuation
$4.5B
Valuation
Latest revenue
Not tracked
Deployment lifecycle position
Source-backed financial history
Capital and commercial trajectory
Funding, valuation, revenue, and debt are kept separate so unlike measurements are never presented as one trend.
Records
1
Tracked total
$250M
Coverage
partial
#1
Series D · $250M
Running tracked total: $250M
Every numbered chart marker maps to one source-linked funding announcement below.
Decagon ↗ source for Series D $250M
Chronological activity
What changed
Launched Duet Autopilot in June 2026 after announcing $250M in funding in January.
A structured event record is still being assembled for this company.
Recent coverage of Decagon
Consolidated by storyDecagon Emphasizes Transparent, Customer-Operated Enterprise AI
TipRanks · Aug 3
Decagon Introduces Duet Autopilot, the First Verified Self-Improving AI Agent for Customer Experience
Business Wire · Jun 9
Decagon: $250 Million Series D At $4.5 Billion Valuation Raised For AI-Based Customer Experience Platform
pulse2.com · 5 related sources · Jan 29
Product surface
Products and model families
Recent models
No standalone model family is structured for this profile.
Products
Decagon AI AgentsAgent Operating ProceduresDuet Autopilot
Open weights
No
API access
No
Review cadence
Weekdays
Market position
Lifecycle and strategic signals
Research
Preview
Growth
Deployment
Deployment: Production & at scale
Focus
Customer-experience agents with voice, testing, optimization, and self-improvement
Signals
Customer serviceAgentsProduction AI
Taxonomy
Agentic Coding Toolscustomer-serviceenterprise-agents
Competitive context
SierraIntercomWonderful
Infrastructure & distribution
Where Decagon sits in the AI stack
01
Model layer
No standalone model family tracked
02
Access layer
Application or managed product
03
Market layer
Vertical + Enterprise
Public product surface
Decagon AI AgentsAgent Operating ProceduresDuet Autopilot
Stack signals
customer-serviceenterprise-agentsCustomer serviceAgentsProduction AI
This section reflects publicly visible product and access signals. Undisclosed GPU, cloud, training, and data-center contracts are not inferred.
Evidence trail
Sources and corrections
Primary and public sources used to verify the structured company profile.
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