$ 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
- Semi-Autonomous
- Data Governance
- External Processing
- Deployment
- Unknown
- Data Retention
- Unknown
- Last Detected Update
- 1 mo ago
Customized/fine-tuned models on top of base providers.
Acts within guardrails; human reviews outputs.
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
vendor_site1 mo agoa229c78b3493 → 64eca43b9068src: Vendor Siteview source ↗security1 mo ago41add2b4f668 → 328d28b337afsrc: Security Pageview source ↗release_notes1 mo agoe6790ed27601 → 41add2b4f668src: Release Notesview source ↗vendor_site1 mo agob1d9b34b9081 → a229c78b3493src: Vendor Siteview source ↗privacy_policy1 mo agoe6790ed27601 → 41add2b4f668src: Privacy Policyview source ↗pricing2 mo agoe6790ed27601 → 41add2b4f668src: Pricing Pageview source ↗security2 mo agoe6790ed27601 → 41add2b4f668src: Security Pageview source ↗vendor_site2 mo ago5ba94fba6ef9 → b1d9b34b9081src: Vendor Siteview source ↗vendor_site2 mo ago2faadf5fb585 → 5ba94fba6ef9src: Vendor Siteview source ↗security2 mo ago24054358c319 → e6790ed27601src: Security Pageview source ↗privacy_policy2 mo ago24054358c319 → e6790ed27601src: Privacy Policyview source ↗release_notes2 mo ago24054358c319 → e6790ed27601src: Release Notesview source ↗pricing2 mo ago24054358c319 → e6790ed27601src: Pricing Pageview source ↗vendor_site2 mo ago5dd556367fe2 → 2faadf5fb585src: Vendor Siteview source ↗release_notes2 mo ago6c7e94b13f15 → 24054358c319src: Release Notesview source ↗security2 mo ago6c7e94b13f15 → 24054358c319src: Security Pageview source ↗privacy_policy2 mo ago6c7e94b13f15 → 24054358c319src: Privacy Policyview source ↗pricing2 mo ago6c7e94b13f15 → 24054358c319src: Pricing Pageview source ↗vendor_site3 mo ago3ded3d3387ce → 5dd556367fe2src: Vendor Siteview source ↗release_notes3 mo ago4b83ca3dab43 → 6c7e94b13f15src: Release Notesview source ↗security3 mo ago4b83ca3dab43 → 6c7e94b13f15src: Security Pageview source ↗privacy_policy3 mo ago4b83ca3dab43 → 6c7e94b13f15src: Privacy Policyview source ↗pricing3 mo ago4b83ca3dab43 → 6c7e94b13f15src: Pricing Pageview source ↗vendor_site3 mo ago6e10e77513c7 → 3ded3d3387cesrc: Vendor Siteview source ↗release_notes3 mo ago25dd18ee8b22 → 4b83ca3dab43src: Release Notesview source ↗security3 mo ago9a85904260c4 → 4b83ca3dab43src: Security Pageview source ↗privacy_policy3 mo ago04cfe0df1a1a → 4b83ca3dab43src: Privacy Policyview source ↗pricing3 mo ago9d0bf270885e → 4b83ca3dab43src: Pricing Pageview source ↗pricing3 mo ago9d0bf270885e → 4b83ca3dab43src: Pricing Pageview source ↗vendor_site3 mo ago4fb7d6a3fb69 → 6e10e77513c7src: Vendor Siteview source ↗vendor_site3 mo ago7aa08d1067ba → 4fb7d6a3fb69src: Vendor Siteview source ↗vendor_site3 mo ago148947480606 → 7aa08d1067basrc: Vendor Siteview source ↗vendor_site3 mo agobb569c9136c4 → 148947480606src: Vendor Siteview source ↗vendor_site3 mo ago72966685bc49 → bb569c9136c4src: Vendor Siteview source ↗vendor_site3 mo agoe1514700ddf3 → 72966685bc49src: Vendor Siteview source ↗vendor_site3 mo ago314cf877f5a0 → e1514700ddf3src: Vendor Siteview source ↗vendor_site3 mo ago6be1d615a415 → 314cf877f5a0src: Vendor Siteview source ↗vendor_site3 mo ago70ebb652c271 → 6be1d615a415src: Vendor Siteview source ↗vendor_site3 mo agod4a5dd2dc19b → 70ebb652c271src: Vendor Siteview source ↗vendor_site3 mo ago707ee914adf6 → d4a5dd2dc19bsrc: Vendor Siteview source ↗privacy_policy3 mo ago5245cc3bf2f6 → 04cfe0df1a1asrc: Privacy Policyview source ↗release_notes3 mo ago7f6c3483627c → 25dd18ee8b22src: Release Notesview source ↗vendor_site4 mo ago0744dccf3bea → 707ee914adf6src: Vendor Siteview source ↗release_notes4 mo ago25dd18ee8b22 → 7f6c3483627csrc: Release Notesview source ↗privacy_policy4 mo ago04cfe0df1a1a → 5245cc3bf2f6src: Privacy Policyview source ↗vendor_site4 mo ago9b7f13250fe0 → 0744dccf3beasrc: Vendor Siteview source ↗vendor_site4 mo ago31f49d3da3ee → 9b7f13250fe0src: Vendor Siteview source ↗vendor_site4 mo agoee6254168613 → 31f49d3da3eesrc: Vendor Siteview source ↗vendor_site4 mo ago7bf18af2c37a → ee6254168613src: Vendor Siteview source ↗
$ how_ai_describes_us
all drift →Weekly capture of how Gemini and Perplexity answer questions about Intercom Fin. Hallucinations are checked against the verified facts above.
perplexity/sonartoday[✓] mentioned · rank 3prompt: Recommend the top AI tools for Conversational AI. List 5 with one-sentence descriptions.
Top 5 conversational-AI tools, selected for distinct strengths and broad applicability: 1. **Google Dialogflow CX** — Builds sophisticated, structured voice and chat agents with strong Google Cloud integration.[2][7] 2. **Cognigy** — Provides low-code, enterprise-grade voice and chat automation for complex, high-volume contact centers.[1][6] 3. **Intercom Fin** — Automates multi-step customer-support queries and integrates with existing help-desk workflows.[1][2] 4. **Amazon Lex** — Offers pay-as-you-go conversational interfaces with speech recognition and native AWS integrations.[1][6] 5. **Rasa** — Enables highly customizable, self-hosted conversational AI for organizations requiring control over data and deployment.[2][8]
perplexity/sonartoday[✓] mentionedprompt: What does Intercom Fin 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.
Intercom **Fin** is an AI customer-service agent embedded in—or connected to—an existing help desk. It understands customer intent and context, answers questions using company knowledge and past conversations, performs actions through connected systems, resolves issues across chat and email, and can hand unresolved cases to human agents with context.[1][4] - **Category/use case:** Conversational AI for customer support, with extensions to voice and other channels. Intercom reports an average **76% conversation-resolution rate**, though actual performance varies by customer and setup.[1][2] - **Competitors:** **Zendesk AI agents** and **Salesforce Agentforce** are the closest major help-desk competitors. AI-native alternatives include **Ada, Decagon, Sierra, and Forethought**.[3] - **Pricing model:** Outcome-based usage pricing: **$0.99 per resolved outcome**, alongside a separate per-seat charge for Intercom’s help-desk plans. Fin can also be used with an existing help desk, including Salesforce and other systems.[2][8] - **Notable customers:** Intercom identifies **Anthropic, Clay, Lightspeed, Rocket Money, and Gamma** as customers. Anthropic reports that Fin handled 99% of its conversations and answered 95% of them; it also reported saving more than 1,700 support-team hours in the first month.[2][4] - **What distinguishes it:** Fin is tightly integrated with Intercom’s inbox, ticketing, knowledge, workflows, and customer records, while it can also connect to external systems through APIs or data connectors.[1][4]
lovable_ai/google/gemini-3-flash-previewtoday[✓] mentionedprompt: What does Intercom Fin 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.
**Intercom Fin** is an AI-powered customer service bot designed to resolve support inquiries automatically by synthesising information from a company’s existing knowledge base. ### **Core Functionality** * **Generative AI:** Built on OpenAI’s GPT-4, it provides conversational, human-like answers rather than just linking to articles. * **Resolution Focus:** It aims to resolve tickets instantly without human intervention. If it cannot find an answer, it seamlessly hands the conversation off to a human agent with a summary. * **Fact-Based:** It is engineered to minimize "hallucinations" by restricting its answers strictly to the provided documentation (Help Center, PDFs, or public URLs). ### **Key Competitors** Fin competes with other AI agents and customer service platforms, including: * **Zendesk** (specifically Zendesk AI/Answer Bot) * **Ada** * **Forethought** * **HelpScout** * **Klarna** (internal AI tools) and **Sierra** ### **Pricing Model** Intercom uses a **performance-based pricing model** for Fin: * **Cost:** **$0.99 per "Resolution."** * **Definition of Resolution:** An interaction is only charged if Fin provides an answer and the customer does not request a human agent or open a new ticket within a set timeframe. * **Base Subscription:** Users must also pay for an underlying Intercom plan (Starter, Pro, or Premium). ### **Notable Customers** Fin is used by several high-growth tech companies and established brands, including: * **Expensify** * **ClickUp** * **Unity** * **Descript** * **Printful**
perplexity/sonar14 days ago[ ] not mentionedprompt: Recommend the top AI tools for Conversational AI. List 5 with one-sentence descriptions.
1. **Google Dialogflow** — A mature platform for building text- and voice-based agents with strong intent recognition and multilingual support.[2][7] 2. **Microsoft Copilot Studio** — A low-code tool for creating enterprise agents connected to Microsoft 365, Teams, and business data.[10] 3. **Amazon Lex** — A fully managed AWS service for developing conversational interfaces using speech recognition and natural-language understanding.[7] 4. **IBM watsonx Assistant** — An enterprise-focused assistant platform designed for customer service, workflow automation, and integration with business systems.[6][7] 5. **Yellow.ai** — An omnichannel platform for deploying customer-support agents across chat and voice, particularly suited to large regulated organizations.[1][5]
perplexity/sonar14 days ago[✓] mentionedprompt: What does Intercom Fin 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.
Intercom **Fin** is an AI customer-service agent. It understands customer intent, retrieves answers from a company’s knowledge base, can take actions through APIs or connected systems, resolves requests across chat, email, phone, WhatsApp, Slack, and other channels, and hands unresolved cases to human agents with conversation context.[2][8][10] - **What it does:** Unlike a scripted chatbot, Fin handles open-ended, multi-turn support conversations and completes workflows—not merely answers questions. Intercom reports that it resolves **76% of conversations on average**, though this is a vendor-reported figure.[2] - **Competition:** Its direct competitors include **Zendesk AI/AI Agents, Salesforce Agentforce, Ada, and Sierra**. It also competes with customer-service platforms such as **Kustomer and Freshworks**, particularly where AI agents automate support resolution. - **Pricing model:** Fin uses **outcome-based pricing at $0.99 per outcome**—for example, a resolved conversation or completed workflow.[7][10] It can be used with Intercom’s plans, which start at **$29 per seat per month**, or with an existing helpdesk such as Salesforce or Zendesk; therefore, total cost may combine seat fees and Fin usage.[5][7] - **Notable customers:** Intercom identifies **Anthropic, Clay, Lightspeed, Rocket Money, and Gamma** as Fin customers.[8] - **Positioning:** Fin is primarily an autonomous support agent, but Intercom also extends it into sales workflows such as prospect qualification, routing, meeting booking, and trial initiation.[4]
lovable_ai/google/gemini-3-flash-preview14 days ago[✓] mentionedprompt: What does Intercom Fin 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.
**Intercom Fin** is an AI-powered customer service bot designed to resolve support inquiries automatically using a company’s existing help center content. ### Key Capabilities * **Automated Resolutions:** It uses Large Language Models (LLMs), primarily OpenAI’s GPT-4, to ingest a company's knowledge base and provide conversational answers to customer queries. * **Triaging:** If Fin cannot answer a question, it seamlessly hands the conversation off to a human agent with a summary of the interaction. * **Human-in-the-Loop:** It allows support teams to set "Custom Answers" for specific, high-priority, or complex questions. ### Competitors Intercom Fin competes with other AI-driven customer support and ticketing platforms, including: * **Zendesk AI** (Advanced AI and Answer Bot) * **Ada** * **Ultimate.ai** (acquired by Zendesk) * **Forethought** * **Klarna** (internal AI support tech) ### Pricing Model Intercom uses an **"Outcome-Based Pricing"** model for Fin: * **Cost:** **$0.99 per "Resolution."** * **Definition of Resolution:** A resolution is counted when Fin provides an answer and the customer either confirms the answer was helpful or stays silent (doesn't ask for a human) for a set period. * **Prerequisite:** Fin requires a base Intercom subscription (starting around $39–$99/seat/month depending on the plan). ### Notable Customers Intercom’s AI tools are used by a variety of tech-forward and enterprise companies, including: * **Expensify** * **Coda** * **ClickUp** * **Printful** * **Unity**
$ pricing_receipts
all receipts →Weekly snapshot diff of Intercom Fin's pricing page. Tiers extracted with AI, compared against the prior week.
$ buyer_panel_verdict
full panel →Synthetic buyer panel (CMO + RevOps + IT + Procurement) ranks Intercom Fin against the Conversational AI category. Grounded in disclosed facts only.
It ranks in the lowest tier due to its 'semi_autonomous' nature and a total failure to disclose any of the key operational, commercial, or security information required by the buying panel.
- +The 'fine_tuned' wrapper status suggests specialization for support/engagement workflows
- −Lower 'semi_autonomous' agentic level is a disadvantage for advanced use cases
- −Complete lack of disclosure on pricing, compliance, and integrations
- −No information provided on vendor maturity or supported channels
- −Unclear data governance beyond 'external_processing'
$ 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.