$ stack_track_scores
methodology →$ buyer_risk_breakdown
UNRATEDUnrated — insufficient public disclosure.
Not enough public disclosure to rate yet — 4 of 5 procurement inputs are still unknown. This is a data gap, not a negative signal.
- Compliance certifications
No SOC 2, ISO 27001, HIPAA, or GDPR posture disclosed in our sources.
to improve → Vendor publishes a trust/security page listing at least one certification.
- Funding stage
Funding stage not yet captured (may be a division of a larger public company).
to improve → Mark parent company or public/profitable status.
- Company age
Founding year not yet captured.
to improve → Add founding year to vendor profile.
- Team size
Team size band not yet captured.
to improve → Add team size band (LinkedIn / vendor disclosure).
- Data governance posture
External processing: customer data is sent to vendor infrastructure.
to improve → Offer a zero-copy or in-VPC deployment option.
$ technical_anatomy
- Wrapper Status
- Fine-Tuned
- Agent Autonomy
- Fully Agentic
- Data Governance
- External Processing
- Deployment
- Unknown
- Data Retention
- Unknown
- Last Detected Update
- 8 days ago
Customized/fine-tuned models on top of base providers.
Plans and executes multi-step workflows end-to-end.
Data is sent to vendor infrastructure for processing.
Where the inference pipeline runs.
How long ingested data persists in vendor systems.
When we last detected a meaningful infrastructure change.
$ marketing_fit
- Use cases
- Unknown
- Channels
- Unknown
- Output types
- Unknown
- Integrations
- Unknown
$ commercial
- Pricing model
- Unknown
- Pricing transparency
- Unknown
- Time to value
- Unknown
- Compliance
- Unknown
- Notable customers
- Unknown
- Customer logo count
- Unknown
How customers are charged.
Is pricing visible without sales contact?
How quickly customers see results.
Public customer logos counted on vendor site.
$ company
- Founded
- Unknown
- Team size
- Unknown
- Funding stage
- Unknown
- Headquarters
- Unknown
Year of incorporation.
Headcount band.
Latest disclosed round.
Primary office location.
$ changelog --tail
security8 days ago869b33618df0 → 087a1039cd76src: Security Pageview source ↗privacy_policy23 days agof3f4d0bbac1e → c427e6a046a8src: Privacy Policyview source ↗vendor_site28 days ago604273aa1e5e → 6fb80e82aa58src: Vendor Siteview source ↗vendor_site1 mo agoc5f5c6e54dc9 → 604273aa1e5esrc: Vendor Siteview source ↗vendor_site1 mo agoc44b22e409d3 → c5f5c6e54dc9src: Vendor Siteview source ↗vendor_site1 mo ago9c704ebfa422 → c44b22e409d3src: Vendor Siteview source ↗security1 mo ago024cc1630bf3 → 869b33618df0src: Security Pageview source ↗vendor_site1 mo agofd87bfb710c5 → 9c704ebfa422src: Vendor Siteview source ↗security2 mo ago24e7bbd1045b → 024cc1630bf3src: Security Pageview source ↗vendor_site2 mo agoed307bb65540 → fd87bfb710c5src: Vendor Siteview source ↗vendor_site2 mo ago519b304e6eab → ed307bb65540src: Vendor Siteview source ↗vendor_site2 mo agobc222c0d78ff → 519b304e6eabsrc: Vendor Siteview source ↗privacy_policy2 mo agof6d1f3752234 → f3f4d0bbac1esrc: Privacy Policyview source ↗security2 mo ago11dee59ca896 → 24e7bbd1045bsrc: Security Pageview source ↗vendor_site2 mo ago42f792f2488d → bc222c0d78ffsrc: Vendor Siteview source ↗
$ how_ai_describes_us
all drift →Weekly capture of how Gemini and Perplexity answer questions about Decagon. Hallucinations are checked against the verified facts above.
perplexity/sonar4 days ago[ ] not mentionedprompt: Recommend the top AI tools for Conversational AI. List 5 with one-sentence descriptions.
Here are **5 top AI tools for conversational AI** that are widely recognized across current rankings and reviews: **Microsoft Copilot Studio**, **Google Dialogflow**, **Amazon Lex**, **IBM watsonx Assistant**, and **Rasa**.[1][13] - **Microsoft Copilot Studio** — An enterprise-focused builder for creating and extending conversational copilots with Microsoft ecosystem integration.[1][6] - **Google Dialogflow** — A Google Cloud platform for designing conversational flows and virtual agents, especially for contact-center and cloud-native use cases.[1][13] - **Amazon Lex** — An AWS-native conversational AI service for building chatbots and voice bots with tight integration into the Amazon cloud stack.[1][12] - **IBM watsonx Assistant** — An enterprise assistant platform aimed at regulated and large organizations that need scalable conversational workflows.[1][13] - **Rasa** — An open-source conversational AI framework that gives teams strong control over dialogue behavior and customization.[1][9]
perplexity/sonar4 days ago[✓] mentionedprompt: 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 conversational AI platform for customer support** that deploys autonomous agents across **chat, voice, email, and SMS** to answer questions and perform actions like refunds, cancellations, account updates, and identity checks through integrations with systems such as Zendesk, Salesforce, and Stripe.[1][2][4][9] It competes most directly with other **AI customer support / AI agent platforms**, including **Sierra**, **Intercom**, **Zendesk AI**, **Forethought**, **Ada**, **Kustomer**, and **Cognigy**; several review and comparison pages also position it against broader support-automation tools like **Assembled** and **Eesel**.[5][14][19] Its **pricing model** is typically described as enterprise-style and quote-based, but one review reports a common structure of a roughly **$50,000/year platform fee**, plus usage-based charges of about **$0.99 per conversation** or **$0.50 per resolution** depending on contract terms.[8] Because Decagon does not publish standard list pricing on its main product pages, the exact price is likely negotiated by customer and volume.[2][4][8] Notable customers and public users include **“many of the world’s most respected enterprise companies”** according to Microsoft’s startup blog, but that page does not name them.[17] The source set also indicates Decagon is used in enterprise deployments at scale and mentions integrations with major support and CRM systems, but it does **not provide a verified public customer list** in the results you shared.[1][17]
lovable_ai/google/gemini-3-flash-preview4 days ago[✓] mentionedprompt: 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 a **generative AI customer support platform** designed to automate complex support workflows beyond simple chat interactions. It uses Large Language Models (LLMs) to act as a "customer support agent" that can perform actions across a company’s software stack. ### Key Capabilities * **Workflow Automation:** Unlike basic chatbots, Decagon can execute tasks like processing refunds, checking order statuses, and updating subscriptions by integrating with back-end systems. * **Human-like Reasoning:** It uses LLMs to understand nuance, sentiment, and context, reducing the need for rigid decision trees. * **Analytics Dashboard:** It provides automated insights into customer trends and suggests updates to documentation based on common queries. ### Competitors Decagon competes with both legacy customer experience (CX) platforms and new AI-native startups: * **AI-Native:** Ada, Fin (Intercom), Sierra, and Ultimate.ai. * **Established Platforms:** Zendesk (Advanced AI), Salesforce Service Cloud, and Forethought. ### Pricing Model Decagon does not publish fixed pricing publicly. It follows an **enterprise SaaS model** typically based on: * **Performance/Usage:** Pricing is often tied to the volume of automated resolutions or interactions. * **Platform Fees:** Annual licensing fees based on the complexity of integrations and support requirements. ### Notable Customers Decagon serves several high-growth and established companies, including: * **Eventbrite** * **Bilt Rewards** * **ClassPass** * **Substack** * **Rippling**
perplexity/sonar18 days ago[ ] not mentionedprompt: Recommend the top AI tools for Conversational AI. List 5 with one-sentence descriptions.
Here are **5 top AI tools for conversational AI** that are widely recognized in 2026, with one-sentence descriptions: - **ChatGPT** — A leading general-purpose conversational AI assistant with strong reasoning, customization, and broad multimodal capabilities. [17][18] - **Google Gemini** — Best for teams already using Google products, with tight integration into Google’s ecosystem and conversational support across workflows. [18] - **Microsoft Copilot Studio** — A low-code platform for building enterprise conversational agents that integrate deeply with Microsoft 365, Teams, and Azure. [3][20] - **Google Dialogflow CX** — A developer-focused conversational AI platform known for visual flow design, voice/chat support, and Google Cloud integration. [5][10][19] - **Kore.ai** — An enterprise conversational AI platform for low-code/no-code agent creation, multichannel deployment, and workflow automation. [5][20]
perplexity/sonar18 days ago[✓] mentioned⚠ 1 hallucinationprompt: 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 conversational AI platform for customer support** that builds and runs AI agents to handle customer conversations end to end across **chat, voice, email, and SMS**. Its agents can answer questions and also take actions such as **refunds, cancellations, subscription changes, and identity checks** by connecting to systems like Zendesk, Salesforce, and Stripe.[1][3][6][12] It competes with other AI support and agent platforms such as **Sierra** and with support-automation tools used in customer service operations; third-party reviews also position it alongside tools integrated with help desks like Zendesk, Intercom, Kustomer, and Front.[11][12][16] Decagon’s own materials emphasize a single intelligence layer across channels rather than a traditional scripted chatbot.[3][13] On pricing, publicly available third-party reviews describe a **mixed enterprise pricing model**: a **platform fee** of about **$50,000/year**, plus usage-based options around **$0.99 per conversation** or **$0.50 per resolution**, though exact pricing varies by contract.[16] Decagon itself does not publish standard list pricing on its site in the materials provided.[3][4] Notable customers cited in public sources include **Eventbrite, Bilt, Webflow, Substack, Vanta, Rippling, and Curology**.[5] Microsoft also says “many of the world’s most respected enterprise companies” rely on Decagon, but it does not name all of them in the provided source.[15]
- [pricing_model] claimed: a platform fee of about $50,000/year, plus usage-based options around $0.99 per conversation or $0.50 per resolution → actual: null
lovable_ai/google/gemini-3-flash-preview18 days ago[✓] mentioned⚠ 1 hallucinationprompt: 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 generative AI. It acts as an autonomous agent capable of resolving customer inquiries, performing actions across software stacks, and providing analytics to support teams. ### Core Functionality * **Autonomous Resolution:** Beyond answering FAQs, it executes tasks like processing refunds, checking order statuses, and updating subscriptions by integrating with internal APIs. * **Semantic Search:** It ingests documentation, past tickets, and Slack conversations to provide accurate, context-aware answers. * **Human-in-the-Loop:** It flags complex issues for human agents and provides them with drafted responses and summaries to accelerate resolution. * **Voice & Chat:** It operates across multiple channels including web chat, email, and voice. ### Competitors Decagon competes with other AI-native and legacy customer service platforms, including: * **Fin (by Intercom):** AI chatbot integrated into the Intercom ecosystem. * **Ada:** An automation-first customer service platform. * **Sierra:** An enterprise conversational AI platform (founded by Bret Taylor). * **Forethought:** Generative AI for the full customer support lifecycle. * **Zendesk (Advanced AI):** The AI-enhanced suite of the legacy CRM. ### Pricing Model Decagon uses a **usage-based enterprise pricing model**. While specific dollar amounts are not public, the structure typically includes: * **Platform Fee:** A base annual or monthly fee for access to the software. * **Outcome-Based Pricing:** Charges are often tied to the number of successfully resolved conversations or "automated resolutions," rather than per-seat licensing. ### Notable Customers Decagon serves several high-growth and enterprise companies, including: * **Eventbrite** * **ClassPass** * **Bilt Rewards** * **Substack** * **Rippling** * **Notion**
- [pricing_model] claimed: Decagon uses a usage-based enterprise pricing model. While specific dollar amounts are not public, the structure typically includes: Platform Fee: A base annual or monthly fee for access to the software. Outcome-Based Pricing: Charges are often tied to the number of successfully resolved conversations or \"automated resolutions,\" rather than per-seat licensing. → actual: null
$ pricing_receipts
all receipts →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.
$ buyer_panel_verdict
full panel →Synthetic buyer panel (CMO + RevOps + IT + Procurement) ranks Decagon against the Conversational AI category. Grounded in disclosed facts only.
Decagon ranks third, offering a 'fully agentic' model, but its 'fine_tuned' wrapper is scored slightly lower on autonomy than the 'sovereign_ai' leaders, and it shares the same critical weaknesses in data governance and transparency.
- +Offers a 'fully_agentic' level of autonomy.
- −Architecture is 'fine_tuned', potentially less advanced than 'sovereign_ai'.
- −Uses 'external_processing' for data governance.
- −Complete opacity on pricing, integrations, compliance, and vendor maturity.
- −No information on data retention or deployment model.
$ sources --all
Every claim above links to its origin. Nothing here is inferred without a citation; missing fields are marked Unknown rather than guessed.
No sources cited yet. Admins can attach citations from the admin panel.