Sierra
Chatbots
Enterprise conversational AI agents for customer experience, billed on the outcomes they resolve.
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Decagon
Enterprise AI concierge agents that autonomously resolve customer support across chat, email, and voice.
Claimed API Teams
Toolglade’s take
Decagon is one of the most credible enterprise players in autonomous support, but its custom six-figure contracts and white-glove onboarding put it firmly out of reach for small teams. It shines for large brands with high ticket volume and the resources to invest in a serious deployment.
About Decagon
Decagon is an enterprise AI customer-support platform whose autonomous agents resolve inquiries end to end across chat, email, voice, and SMS, triggering real actions like refunds through integrations with tools such as Zendesk, Salesforce, and Stripe. Teams configure behavior via natural-language Agent Operating Procedures, and pricing is custom, typically six figures annually. Founded in 2023, Decagon serves 100+ enterprises and reached a $4.5 billion valuation in early 2026.
Decagon builds AI "concierge" agents that go beyond answering questions to actually completing customer support workflows, such as processing refunds, canceling subscriptions, and upgrading accounts. Its agents are built on foundation models from providers including OpenAI, Anthropic, and Cohere, layered with company-specific knowledge from help centers and historical conversations. Support teams shape behavior through natural-language Agent Operating Procedures (AOPs), while developers retain control over integrations and guardrails, and a companion tool called Duet analyzes conversations to surface workflow gaps and refine those procedures automatically. Deployment is a white-glove enterprise engagement: Decagon assigns dedicated Agent Product Managers and Forward-Deployed Engineers who embed with the customer's team to accelerate rollout and tuning. The platform connects to existing systems such as Zendesk, Salesforce, and Stripe to trigger downstream actions rather than merely deflect tickets. Founded in 2023, Decagon serves more than 100 enterprise customers spanning fintech, technology, travel, health, retail, and media, and by 2026 had raised roughly $481 million in total funding at a $4.5 billion valuation.
TL;DR
Decagon is an enterprise AI customer-support platform whose autonomous "concierge" agents resolve inquiries end to end across chat, email, voice, and SMS, taking real actions like refunds via integrations with Zendesk, Salesforce, and Stripe. Teams configure behavior through natural-language Agent Operating Procedures, backed by white-glove onboarding. Pricing is custom and typically six figures annually, with per-conversation or per-resolution models. Founded in 2023, Decagon serves 100+ enterprises and reached a $4.5 billion valuation in early 2026.
Company overview
Decagon was founded in 2023 and has quickly become one of the leading enterprise startups betting that advances in AI chatbots and voice can transform how businesses handle customer requests. The company added more than 100 corporate clients over the past year, spanning fintech (Chime, Affirm), technology (Notion, Rippling, Figma, Eventbrite), travel (Hertz, Avis Budget Group), health (Oura, Noom, ClassPass), retail and marketplaces (Mercado Libre, Quince), and media (Duolingo).
Product features
Decagon's agents are built on foundation models from OpenAI, Anthropic, and Cohere, layered with company-specific data from help centers and historical conversations. Its distinguishing features are natural-language Agent Operating Procedures (AOPs) that let non-technical teams design agent logic while developers keep control of integrations and guardrails, and Duet, a companion that analyzes conversations to identify workflow gaps and automatically generate, test, and refine AOPs. The platform delivers omnichannel support across chat, email, voice, and SMS and connects to tools like Zendesk, Salesforce, and Stripe to trigger actions such as refunds and account upgrades rather than merely deflect tickets.
Target market
Decagon targets large enterprises with high customer-support volume across industries including financial services, technology, travel, health, retail, marketplaces, and media. Its custom six-figure pricing, white-glove onboarding with dedicated Agent Product Managers and Forward-Deployed Engineers, and action-taking automation make it best suited to organizations with substantial ticket volume and budget, and impractical for small teams or low-volume operations.
Buyer personas
End users
Customer support agents and operations teams who supervise the AI agents, handle escalations, and refine Agent Operating Procedures, plus the end customers who interact with the AI across chat, email, and voice.
Buyers
VPs and Directors of Customer Experience, Support, or Operations, along with CX and COO leadership at large enterprises who own support budgets and headcount decisions.
Key influencers
Support engineering leads, IT and security teams evaluating integrations and guardrails, and finance stakeholders assessing cost-per-resolution ROI.
Ideal customer profile
A large enterprise with high monthly support ticket volume across multiple channels, existing helpdesk and CRM systems (e.g. Zendesk, Salesforce), and budget for six-figure annual automation aimed at reducing support costs while scaling.
Funding & performance
Decagon has raised roughly $481 million in total funding across six rounds from 27 investors. In its most recent round it raised $250 million, led by Coatue Management and Index Ventures with participation from Chemistry VC, Definition Capital, Starwood Capital Group, and existing investors Andreessen Horowitz, Accel, and Bain Capital Ventures. The round tripled the company's valuation to $4.5 billion as of early 2026, and in March 2026 Decagon completed its first employee tender offer at the same $4.5 billion valuation.
Pros & cons
Pros
- Agents take real actions, not just deflect, via deep system integrations
- Natural-language AOPs let non-technical teams shape agent logic
- True omnichannel coverage across chat, email, voice, and SMS
- White-glove onboarding with dedicated APMs and Forward-Deployed Engineers
- Proven at scale with 100+ enterprise customers across many industries
- Model-agnostic architecture built on OpenAI, Anthropic, and Cohere
Cons
- No public pricing; every contract requires a sales process and custom quote
- Expensive, with median annual contracts around $400K and a platform fee
- No free plan or free trial for self-serve evaluation
- Enterprise-only focus makes it impractical for small teams and startups
- Deployment requires meaningful internal time and resources to configure
Pricing plans
Enterprise
Custom
- Choice of per-conversation or per-resolution (outcome-based) pricing
- Omnichannel agents across chat, email, voice, and SMS
- Natural-language Agent Operating Procedures (AOPs) and Duet tuning
- Integrations with helpdesk and business systems such as Zendesk, Salesforce, and Stripe
- Dedicated Agent Product Managers and Forward-Deployed Engineers for onboarding
- Enterprise security, guardrails, and analytics
Key features
API
Team collaboration
Multi-language
Integrations
Zendesk, Salesforce, Stripe
Input types
text, voice
Output types
text, voice
Best For
High-volume enterprise support, Autonomous ticket resolution, Omnichannel customer experience, Action-taking support workflows
Compare key features
View all alternatives →Feature
Decagon
Sierra
Ada
Pricing
Contact for pricing
Contact for pricing
Paid
Free plan
No
No
No
Free trial
No
No
No
API
Yes
Yes
Yes
Team support
Yes
Yes
Yes
Frequently asked questions
How much does Decagon cost?+
Decagon uses custom enterprise pricing with no public rates. Third-party data puts median contracts around $400,000 per year (roughly $100,000 to $580,000 annually), often with a platform fee near $50,000 before usage charges. You choose between per-conversation or per-resolution pricing and get a quote via sales.
Is Decagon worth it?+
For large enterprises with high support volume, Decagon can be worth it because its agents resolve inquiries end to end and take real actions like refunds, reducing headcount and scaling support 24/7. For small teams or low-volume operations, the six-figure cost and onboarding effort are hard to justify.
What are the best alternatives to Decagon?+
Common alternatives include Sierra, Intercom Fin, Ada, and Salesforce Agentforce, along with newer entrants focused on AI support automation. The right choice depends on your channels, budget, and how much autonomous action-taking versus answer-deflection you need.
What does Decagon integrate with?+
Decagon connects to existing support and business systems such as Zendesk, Salesforce, and Stripe so its agents can not only answer questions but also trigger actions like refunds and account upgrades. It draws on help centers and historical conversations for company-specific knowledge.
How does Decagon compare to Sierra or Intercom?+
Decagon competes directly with Sierra as an enterprise autonomous-agent platform emphasizing action-taking and white-glove deployment, while Intercom's Fin is more accessible with self-serve, per-resolution pricing tied to Intercom's helpdesk. Decagon skews toward large brands wanting deep custom automation across chat, email, and voice, whereas Intercom suits teams already in its ecosystem seeking faster, lower-commitment setup.
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