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Decagon

Decagon logo

Decagon

AI-powered customer support agents.

decagon.ai
HQ: San Francisco, CA, USA
AI

Company research

Public company, workplace, funding, and market signals

Updated Aug 2, 2026

Overview

Decagon AI, Inc. is a San Francisco-based generative-AI company founded in 2023 that provides enterprise customer-experience automation. Its platform deploys AI concierge agents that resolve and act on customer requests across voice, chat, email, SMS, and connected business systems.

Primary product

Decagon AI Concierge: an enterprise platform to build, test, optimize, govern, and deploy omnichannel AI agents. Core concepts include natural-language Agent Operating Procedures (AOPs), Duet/Agent Workbench, integrations, observability, experimentation, and analytics.

Founded

2023

Headquarters

San Francisco, California, United States

Team size

300–500; Decagon said it was near 500 in June 2026, while LinkedIn reported 390 in late July 2026.

Work style

Onsite

Industry

Software Development / Artificial Intelligence

Sub-industry

Enterprise conversational AI, AI customer support, and customer-experience automation

Offices

San Francisco, California, United States
New York City, New York, United States
London, England, United Kingdom
Sydney, Australia

Business model

Enterprise B2B SaaS
Usage/outcome-oriented AI-agent services
Enterprise implementation and agent-development services
AWS Marketplace distribution

Funding

Stage

Late-stage venture / Series D; private unicorn

Total raised

$481M

Latest round

Series D · Jan 2026

Latest amount

$250M

Series D

Jan 2026 · Coatue Management and Index Ventures

$250M

Series C

Jun 2025 · Accel and Andreessen Horowitz (a16z)

$131M

Series B

Oct 2024 · Bain Capital Ventures

$65M

Seed

Jun 2024 · Andreessen Horowitz (a16z)

$5M

Series A

Jun 2024 · Accel

$30M

People & investors

Leadership

Jesse Zhang

Co-founder & CEO

Ashwin Sreenivas

Co-founder & President

Dennis Cui

VP of Engineering

Alan Yiu

VP of Product

Sunny Rekhi

CTO, Forward Deployed Engineering

Gram Liu

Engineering Lead, Enterprise Product

Katie Coutermarsh

RVP, Strategic Accounts

Investors

A* Capital
Aaref Hilaly
Aaron Levie
Accel
ACME Capital
Andreessen Horowitz (a16z)
Avra
Avra Capital
Bain Capital Ventures
BOND
BOND Capital
Chemistry Ventures
ChemistryVC
Coatue Management
Definition Capital
Ed Hallen
Elad Gil
Forerunner
Forerunner Ventures
Frederic Kerrest
Howie Liu
Index Ventures
Jack Altman
Matt MacInnis
Mike Vernal
Ribbit Capital
Scale Angels Fund
Starwood Capital
Starwood Capital Group
T.Capital

Work & culture

The company describes a fast-moving, ownership-heavy, customer-focused culture built around “Just get it done,” “Invent what customers want,” a “Winner’s mindset,” and the “Polymath Principle.” Engineering roles combine product, infrastructure, research, and direct customer work; public job evidence points to a strongly office-centered environment rather than remote-first work.

Work style

Onsite

Visa sponsorship

Yes

Compensation

Official careers material says compensation is competitive but does not publish a company-wide range. A 2026 public job listing reported approximately $175,000–$230,000 base plus equity for a customer-engineering role, with H-1B sponsorship; treat that as role-specific rather than a universal pay band.

Benefits

Medical, dental, and vision coverage
100% dependent medical coverage
Competitive compensation and equity
401(k)
FSA
Commuter benefits
Flexible PTO / take-what-you-need vacation
Company-wide winter break
Wellness programs
Life and disability insurance
Parental leave
Fertility and family-building benefits
Daily free meals and snacks
Company events

Product & market

Pricing

Custom enterprise pricing; no public price list found. Public research indicates pricing is aligned to enterprise deployments and/or resolved conversations rather than self-serve seat pricing, but Decagon has not publicly documented a definitive rate card.

Differentiators

  • —Omnichannel voice, chat, email, and SMS on one intelligence layer
  • —AOPs let teams define and revise agent workflows in natural language while retaining control over guardrails and integrations
  • —Agents can execute complex workflows such as refunds, rebooking, order tracking, and other actions
  • —Built-in testing, evaluation, observability, experimentation, and analytics
  • —Decagon Labs and a proprietary/specialized model stack; the company says more than 80% of model traffic uses in-house-trained models
  • —Rapid deployment and iteration with a cross-functional Agent Engineering / Agent Development model
  • —Enterprise integrations and AWS Marketplace availability

Technology

Large language models and fine-tuned/proprietary models
Specialized-model orchestration
Agent Operating Procedures (natural language compiled to executable logic)
Python
TypeScript
React
Knowledge bases and retrieval
Tool/API integrations
Voice pipelines and speech detection
Hallucination monitoring and guardrails
Evaluation, testing, experimentation, observability, and analytics
AWS Marketplace

Customers

Avis Budget Group
Chime
Oura Health
1-800-FLOWERS.COM
Hunter Douglas
Block / Square / Cash App
Deutsche Telekom
Affirm
Duolingo
Rippling
Eventbrite
Bilt
Webflow
Substack
Quince

Competitors

Intercom
Sierra
Forethought
Ada
Zendesk
Salesforce Service Cloud
Gorgias
Five9
Talkdesk
Kustomer

Scale & contact

Estimated revenue

Approximately $40M–$88M annual recurring revenue, third-party model estimate updated July 12, 2026; Decagon does not publicly disclose current revenue. Separately, TechCrunch reported ARR had exceeded eight figures by late 2024.

Estimated monthly visits

207.2K

support@decagon.ai

Signals & risks

Other
Mar 2026

Decagon completed its first employee tender offer at a $4.5 billion valuation, allowing more than 300 employees to sell vested shares. This is a liquidity event rather than a reported distress signal.

Source
Other
Mar 2026

Decagon launched Decagon Labs and stated that over 80% of model traffic ran on internally trained models, increasing investment in proprietary model, training, and evaluation infrastructure. No public shutdown, acquisition, or layoff announcement was identified in the reviewed sources.

Source

Latest news

Decagon expands AWS Marketplace availability and continues 2026 product expansion

Decagon · Jun 2026

Decagon described its Agent Development organization, reported nearly 500 employees, and said the model reduced custom engineering work per agent by 80%; the company is also listed as available on AWS Marketplace.

Introducing Duet Autopilot: The self-improving agent for conversational AI

Decagon · Jun 2026

Major product launch introducing Duet Autopilot and DuetBench, positioned as the next evolution of Decagon’s self-improving customer experience agents.

Introducing Decagon Labs

Decagon · Mar 2026

Decagon launched its research and agent-orchestration arm and said more than 80% of model traffic used internally trained models.

Decagon closes employee tender at $4.5 billion valuation

TechCrunch · Mar 2026

More than 300 employees were able to sell vested shares in Decagon’s first tender offer at the company’s $4.5B valuation.

Decagon’s Valuation Triples to $4.5 Billion as it Ushers in the Age of AI Concierge

Business Wire · Jan 2026

Announced a $250M Series D led by Coatue and Index Ventures; valuation rose to $4.5B; included new investors ChemistryVC, Definition Capital, and Starwood Capital, plus continued support from existing backers.

About / team overviewAgent Operating ProceduresBlogCareersEngineering and company blogHugging Face organizationIntegrationsLinkedIn companyProduct overviewWebsite
SourcesDecagon official homepageDecagon AboutDecagon CareersDecagon Series A / launch announcementDecagon Series B announcementDecagon Series C announcementDecagon Series D announcementDecagon resource hub / engineering blogDecagon LabsNew York office announcementTechCrunch tender-offer coverageDecagon LinkedIn company pageThird-party revenue estimate

Jobs and careers at Decagon

146 jobs at Decagon

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