Decagon

$ technical_anatomy

Wrapper Status

Fine-Tuned

Customized/fine-tuned models on top of base providers.

Agent Autonomy

Fully Agentic

Plans and executes multi-step workflows end-to-end.

Data Governance

External Processing

Data is sent to vendor infrastructure for processing.

Deployment

Unknown

Where the inference pipeline runs.

Data Retention

Unknown

How long ingested data persists in vendor systems.

Last Detected Update

4 days ago

When we last detected a meaningful infrastructure change.

$ marketing_fit

Use cases

Unknown

Channels

Unknown

Output types

Unknown

Integrations

Unknown

$ commercial

Pricing model

Unknown

How customers are charged.

Pricing transparency

Unknown

Is pricing visible without sales contact?

Time to value

Unknown

How quickly customers see results.

Compliance

Unknown

Notable customers

Unknown

Customer logo count

Unknown

Public customer logos counted on vendor site.

$ company

Founded

Unknown

Year of incorporation.

Team size

Unknown

Headcount band.

Funding stage

Unknown

Latest disclosed round.

Headquarters

Unknown

Primary office location.

$ changelog --tail

1. security4 days ago
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Weekly capture of how Gemini and Perplexity answer questions about Decagon. Hallucinations are checked against the verified facts above.

• perplexity/sonar1 day ago[ ] not mentioned

  prompt: Recommend the top AI tools for Conversational AI. List 5 with one-sentence descriptions.

  The top 5 AI tools for Conversational AI are **Microsoft Copilot Studio**, **Salesforce Einstein Copilot**, **Retell AI**, **Google Dialogflow CX**, and **Kore.ai**. 1. **Microsoft Copilot Studio**: This low-code platform is the overall top pick for building conversational agents and automation workflows integrated deeply with the Microsoft ecosystem like Teams and Azure [4][9]. 2. **Salesforce Einstein Copilot**: It ranks first for CRM-aware guidance by grounding conversational answers directly in Salesforce CRM objects and knowledge sources without requiring custom agent work [2]. 3. **Retell AI**: Rated as the best overall for AI voice agents, it offers standout call quality and a solid telephony stack ideal for high-volume voice operations [3]. 4. **Google Dialogflow CX**: This advanced platform is designed for developers to build sophisticated, flow-based multichannel virtual agents using Google's natural language understanding [6][9]. 5. **Kore.ai**: It features a visual drag-and-drop dialog builder backed by multi-LLM orchestration and robust context management for creating customizable conversational workflows [6][9].

  bestaipacks.comworldmetrics.orgretellai.comgitnux.org
• perplexity/sonar1 day ago[✓] mentioned

  prompt: What does Decagon do? It is an AI tool in the Conversational AI category. Include who it competes with, pricing model, and any notable customers. Be specific and factual.

  Decagon is an **enterprise AI concierge platform** that builds, deploys, and operates autonomous AI agents to handle full-cycle customer support interactions across **chat, voice, email, and SMS**, resolving issues end-to-end (e.g., processing refunds, updating accounts, canceling subscriptions) rather than just providing FAQ links [1][2][3]. ### Core Capabilities * **Full-Automation:** Agents execute multi-step actions like **billing inquiries, payment disputes, and order tracking** by integrating with back-office systems like Stripe, Zendesk, Salesforce, and Intercom [2][10]. * **Agent Operating Procedures (AOPs):** Uses natural-language logic so non-technical teams can design agent workflows while developers manage guardrails [10]. * **Multi-Model Architecture:** Leverages foundation models from **OpenAI (GPT-4), Anthropic (Claude), and Cohere**, with a supervisor model to prevent hallucinations [4]. * **Performance:** Claims to resolve up to **80% of inbound tickets** autonomously with sub-second voice latency [3][6]. ### Notable Customers Decagon serves **100+ enterprise customers** across airlines, banking, telecom, and retail. Key logos include: | Industry | Notable Customers | | :--- | :--- | | **Consumer Tech** | **Duolingo**, Notion, Eventbrite, Substack, Riot Games [3][6] | | **Financial Services** | **Chime**, Affirm, Rippling [3][6] | | **Travel & Transport** | **Hertz**, Avis Budget Group [3][6] | | **Telecom/Global** | **Deutsche Telekom**, Mercado Libre [3] | | **Health & Wellness** | **Oura Health**, ClassPass [3][6] | ### Competitors Decagon competes in the **Conversational AI** and **Customer Service Automation** space with platforms that offer AI agents or chatbot capabilities: * **Sierra:** A direct competitor in the enterprise AI concierge space [8]. * **Voiceflow:** A major alternative for building conversational AI agents [3]. * **Assembled:** An enterprise AI platform for support automation [2]. * **Legacy Chatbot Platforms:** It distinguishes itself from prior-generation tools like **Zendesk Answer Bot** or **Intercom** by executing actions rather than just retrieving information [3]. * **Other AI Agents:** Competes with **Eesel**, **AskAI**, and **PixieBrix** in the agent-builder market [4][5][10]. ### Pricing Model Decagon uses **custom enterprise contracts** and does not publish public pricing or tiered plans [8]. Pricing is typically negotiated based on the specific use case, volume, and integration requirements of the enterprise [8].

  decagon.aiassembled.comvoiceflow.commyaskai.com
• lovable_ai/google/gemini-3-flash-preview1 day ago[✓] mentioned⚠ 1 hallucination

  prompt: What does Decagon do? It is an AI tool in the Conversational AI category. Include who it competes with, pricing model, and any notable customers. Be specific and factual.

  **Decagon** is an enterprise-grade AI customer support platform that automates complex support workflows using Large Language Models (LLMs). Unlike basic chatbots, it is designed to perform actions across a company’s software stack, such as processing refunds, troubleshooting technical issues, and updating subscriptions. ### **Core Capabilities** * **Action-Oriented Automation:** Integrates with backend systems (APIs) to resolve tickets autonomously rather than just providing text answers. * **Human-in-the-Loop:** Automatically escalates complex cases to human agents with summarized context. * **Knowledge Synthesis:** Ingests documentation, Slack histories, and past tickets to build a dynamic knowledge base. * **Analytics:** Provides automated insights into why customers are contacting support to help product teams address root causes. ### **Key Competitors** Decagon competes with both legacy customer service platforms and new AI-native tools: * **Ada:** A long-standing leader in automated customer service. * **Intercom (Fin AI):** The AI-native support bot integrated into the Intercom ecosystem. * **Forethought:** An AI platform focused on the entire support lifecycle. * **Sierra:** A high-end conversational AI competitor founded by Bret Taylor. * **Zendesk (Answer Bot):** The built-in automation features of the Zendesk suite. ### **Pricing Model** Decagon uses an **outcome-based pricing model**. Instead of charging solely per seat, they typically charge based on **successful resolutions**. While specific dollar amounts are not public (custom enterprise quotes), the model is designed to align cost with the volume of tickets the AI successfully handles without human intervention. ### **Notable Customers** Decagon focuses on mid-market and enterprise companies with high support volumes. Notable customers include: * **Eventbrite** * **Bilt Rewards** * **ClassPass** * **Substack** * **Ripcord**

  • [pricing_model] claimed: Decagon uses an outcome-based pricing model. Instead of charging solely per seat, they typically charge based on successful resolutions. → actual: null
• perplexity/sonar8 days ago[ ] not mentioned

  prompt: Recommend the top AI tools for Conversational AI. List 5 with one-sentence descriptions.

  The top 5 AI tools for Conversational AI are **Microsoft Copilot Studio**, **Google Dialogflow CX**, **IBM Watson Assistant**, **Kore.ai**, and **Rasa**, each excelling in specific enterprise or developer contexts. 1. **Microsoft Copilot Studio**: Builds conversational agents and copilots using no-code and low-code authoring while integrating seamlessly with Microsoft Dataverse, SharePoint, and Azure tools[2]. 2. **Google Dialogflow CX**: Leads enterprise platforms with 93% NLP accuracy and the strongest scalability for handling complex, multi-path conversational flows[3]. 3. **IBM Watson Assistant**: Delivers high accuracy and reliability ideal for regulated industries requiring strict security and performance levels[3][9]. 4. **Kore.ai**: Provides a low-code and no-code platform for creating customizable conversational workflows and automating complex enterprise tasks across multiple channels[3][10]. 5. **Rasa**: Offers a flexible, open-source framework based on machine learning that is best for developers needing to build complex, custom conversational applications[3][7].

  bestaipacks.comwifitalents.commeetaitools.comcio.economictimes.indiatimes.com
• perplexity/sonar8 days ago[✓] mentioned

  prompt: What does Decagon do? It is an AI tool in the Conversational AI category. Include who it competes with, pricing model, and any notable customers. Be specific and factual.

  Decagon is an **enterprise-grade conversational AI platform** that builds **autonomous AI agents** (called an "AI concierge") designed not just to answer customer questions but to **execute real actions** across chat, email, voice, and SMS, such as processing refunds, updating subscriptions, verifying identities, and managing order status [1][2][5]. ### Core Functionality * **Action-Oriented Resolution:** Unlike standard chatbots that primarily deflect or inform, Decagon agents connect to backend systems like **Zendesk, Salesforce, and Stripe** to resolve issues end-to-end without human intervention [1][9]. * **Omnichannel Consistency:** The same agent logic runs consistently across **chat, email, voice, and SMS** from a single platform, maintaining cross-channel memory [1][3]. * **Customizable Logic:** Teams define agent behavior using plain-language **Agent Operating Procedures (AOPs)**, which are compiled into executable logic, allowing non-technical staff to design workflows while developers manage integrations [1][9]. * **Multi-Model Architecture:** It uses foundation models from **OpenAI, Anthropic, and Cohere**, layered with a company's proprietary data (help-center content, ticket history) to ensure responses are grounded in the business [1][3]. ### Competitors Decagon competes with other enterprise AI agents focused on autonomous resolution and action-taking, including: * **Sierra** (often cited as a direct alternative for autonomous customer support) [8] * **Eesel AI** (noted for similar concierge positioning) [1] * **Intercom** (specifically their Resolution Bot and AI agents) [3] * **Zendesk AI** (native agent capabilities) [3] * **Custom chatbot platforms** (e.g., standard Köri, Freshworks) that lack action-taking capabilities [3]. ### Pricing Model * **Structure:** Decagon uses **custom enterprise contracts** rather than a publicly disclosed tiered pricing model [8]. * **Model:** The pricing is typically **per-conversation** or **per-resolution** [10]. * **Cost Profile:** It is positioned for mid-market to enterprise companies with the budget for a **six-figure contract** [1]. Prospects must contact sales for specific quotes [10]. ### Notable Customers Decagon serves high-volume brands in fintech, travel, e-commerce, and SaaS, with publicly reported outcomes including: * **Chime:** Resolves ~70% of chat and voice interactions [1][10]. * **Duolingo:** Achieves ~80% query deflection [1][10]. * **ClassPass:** Reported ~95% cost reduction [1][10]. * **Hunter Douglas:** Generated ~$1M in revenue through AI conversations [1][10]. * **Other Key Clients:** **Eventbrite, Bilt, Webflow, Substack, Vanta, Rippling, Curology, Hertz, Figma, Dropbox, and Notion** [7][10]. Decagon is best suited for companies with **complex action-based workflows** (e.g., fintech, travel, subscriptions) that require a dedicated internal owner to manage the platform [1].

  getmacha.comdecagon.aimyaskai.comdecagon.ai
• lovable_ai/google/gemini-3-flash-preview8 days ago[✓] mentioned

  prompt: What does Decagon do? It is an AI tool in the Conversational AI category. Include who it competes with, pricing model, and any notable customers. Be specific and factual.

  **Decagon** is an enterprise-grade AI customer support platform that automates complex workflows and customer interactions across text, email, and voice. ### **Core Functionality** * **Human-like Resolution:** Uses Large Language Models (LLMs) to understand intent and resolve customer inquiries without human intervention. * **Workflow Automation:** Beyond answering FAQs, it integrates with back-end systems (like billing or order management) to execute tasks like processing refunds, checking order status, or updating account details. * **Quality Assurance:** Automatically reviews and categorizes every customer interaction to provide insights to support leaders. * **Integration:** Connects with CRM and helpdesk tools like Zendesk, Salesforce, and Gorgias. ### **Competitors** Decagon competes with both legacy customer service platforms and new AI-native automation tools: * **Ada:** A long-standing leader in AI-powered customer service. * **Intercom (Fin AI):** A major customer service platform with built-in AI agents. * **Sierra:** An enterprise AI agent platform founded by Bret Taylor. * **Forethought:** An AI platform focused on the entire support lifecycle. * **Maven AGI:** A generative AI tool for autonomous customer support. ### **Pricing Model** Decagon uses an **enterprise-focused pricing model**, which is typically not disclosed publicly. However, it generally follows the industry standard for high-end AI agents: * **Usage-based or Outcome-based:** Pricing often scales based on the volume of tickets handled or successfully resolved by the AI. * **Platform Fee:** A recurring annual fee for implementation, integration, and access to the dashboard. ### **Notable Customers** Decagon is utilized by several high-profile companies, particularly in the tech and consumer sectors: * **Eventbrite** * **ClassPass** * **Bilt Rewards** * **Duolingo** * **Substack** * **Notion**

Weekly snapshot diff of Decagon's pricing page. Tiers extracted with AI, compared against the prior week.

No pricing snapshot yet. The first weekly capture will populate this.

Synthetic buyer panel (CMO + RevOps + IT + Procurement) ranks Decagon against the Conversational AI category. Grounded in disclosed facts only.

Its 'fully agentic' capability is a positive signal for the Head of Growth, but it is undercut by an inferior data governance model and a complete absence of crucial operational and commercial details.

$ sources --all

Every claim above links to its origin. Nothing here is inferred without a citation; missing fields are marked Unknown rather than guessed.

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