
Decagon
AI-powered customer support platform that uses autonomous AI agents to resolve complex customer inquiries.
About
Decagon offers an AI-native platform that enables enterprises to build, optimize, and scale AI agents for customer service. Their core product, Duet Autopilot, provides human-like conversational AI across channels like voice, chat, and email, allowing businesses to deliver personalized customer experiences. Decagon serves various industries including retail, travel & hospitality, technology, financial services, health & wellness, media, and telecommunications.
Listed competitors
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AI-first customer service platform for support, sales, and marketing automation.
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Sierra builds AI agents that help leading brands deliver better customer experiences by increasing customer lifetime value and personalizing interactions across multiple channels.
AI-powered customer service automation platform for enterprises.
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Public companies
Decagon and Salesforce Agentforce both offer AI agents for customer service, with Decagon focusing on autonomous resolution of complex inquiries and Salesforce integrating AI into its broader CRM platform.
Competing product: Salesforce Agentforce
While not explicitly listed as a direct competitor for a specific product, Microsoft offers Dynamics 365 Customer Service with AI capabilities that overlap with Decagon's focus on enhancing customer experience through AI agents.
Competing product: Microsoft Dynamics 365 Customer Service
Key facts
- Website
- decagon.ai
- Headquarters
- San Francisco, United States
- Founded
- 2023
- Employees
- 481
- Total funding
- $526M (Series D)
- Business model
- B2B
Funding rounds
| Date | Round | Amount | Post-money | Lead investors |
|---|---|---|---|---|
| 28 Jan 2026 | Series D | $250M | $4.5B | Index Ventures, Coatue |
| 15 Oct 2024 | Series B | $65M | $650M | Bain Capital Ventures (BCV) |
| 8 May 2024 | Series A | $35M | Accel Partners | |
| 1 Jan 2023 | Seed | $10M | Another VC |
Tech stack
Detected on decagon.ai, last scanned 7 Nov 2026. Run your own scan
- Analytics
- Google Tag Manager, Segment, Meta Pixel
- Support
- HubSpot
- AI customer support
- Decagon
- CMS / Builders
- Webflow
- CDN
- Cloudflare, Vercel
- Email provider
- Google Workspace
- Status page
- BetterStack
- Video / media
- YouTube
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4 reviews from Reddit gathered in one place
We're evaluating AI customer support platforms, and Decagon is one of the vendors on our shortlist. The demos have been impressive, but we're also hearing mixed feedback around implementation time, pricing, and the effort needed to get ever…
Anyone have experience with CX tools like Sierra AI and Decagon? Reviews all look great online but I’m curious what people actually think of them. Worth the hype?
Curious if anyone here has insight into Sierra, Decagon, or Giga or the space as a whole. Specifically interested in: How differentiated are their products really? Based on marketing post, it seems clear they have PMF, but how real is that?…
I have shortlisted a few solutions basis market buzz, but wanted to get a first-hand opinion from folks who have actually evaluated, implemented, or used any of these to separate hype from real value: - Zendesk Advanced AI - Decagon - Sierr…
Each quote is copied word for word and links to where it was posted. Promotion and off-topic posts are filtered out.
Frequently asked
Is Decagon trustworthy and reputable?
StartupHub's Data Trust & Reputation score for Decagon is 87 out of 100, a trusted rating, based on site security posture, privacy practices, malware and phishing checks, and public reputation signals.
How much funding has Decagon raised?
Decagon has raised a total of $526M in funding. The most recent round on record is Series D.
How many employees does Decagon have?
Decagon has approximately 481 people on record.
Enterprise Travel & Hospitality
Confirmed customers of Decagon.
SEC filings, insider activity, nonprofit links and pay benchmarks for Decagon:
Company details: from public sources. Funding: no announced round on file. Ownership: not yet claimed by the company. Scores: measured by named tools; each links to its method. Our rules


