Fin AI
Customer Agent company (formerly Intercom) building AI agents for customer experience across support, sales, commerce, and service; Salesforce signed a definitive agreement to acquire Fin for ~$3.6B in June 2026.
Fin provides an AI Customer Agent that works across the customer journey, handling customer service, sales, and ecommerce workflows over channels such as chat, email, WhatsApp, SMS, phone, and Slack. The platform uses the Fin AI Engine, integrates with Intercom, Salesforce, HubSpot, Freshworks, Dixa, Front, Zoho, Sprinklr, Gorgias, and custom channels, and is designed for fast deployment, policy-controlled answers, analytics, and outcome-based automation.
Positioning
Customer Agent for customer experience
Key facts
- HQ location
- San Francisco, CA, USA (HQ); offices in Dublin, London, Chicago, Sydney; Berlin planned
- Founded
- 2011
- Employee range
- 1001-5000 (1,400+ (company-reported))
- Funding stage
- Bootstrapped
- Company type
- Unknown (Private; pending acquisition by Salesforce)
- Pricing model
- Subscription Usage Based (Outcome-based SaaS pricing: $0.99 per resolution/procedure handoff/disqualification; $9.99 per qualification; optional Intercom helpdesk seats/plans)
- Last updated
- Jun 21, 2026
Revenue estimate
$400M+ ARR company-wide; Fin AI agent reportedly ~$100M ARR / 25% of ARR
Valuation estimate
$3.6B announced Salesforce acquisition value (definitive agreement Jun 15, 2026; pending close)
Investments
~$490M total capital incl. $250M venture debt from Hercules Capital in Mar 2026; prior investors include Bessemer, Index, Kleiner Perkins, ICONIQ, Social Capital
Target customers
Customer service, support, sales, ecommerce, and CX teams at SMBs and enterprises
Key competitors
Sierra, Decagon, Ada, Zendesk AI, Salesforce Agentforce, Forethought, Freshworks, Gorgias
Known customers
Anthropic, Clay, Lightspeed, Rocket Money, Gamma, Crypto.com, Avocado Green Mattress, Aspire, DoorDash, Kalshi
Classification (raw research text)
- Core focus
- Customer experience AI agents
- Core industry
- Customer support / CX
- Core category
- AI customer service / Customer Agent platform
Shown verbatim from the research spreadsheet — deriving structured segment/industry tags from this text is a future phase.
Attribute breakdown
- AI Workflows Secondary feature
- AI Automation / Business Process Automation Secondary feature
- Agent Builder / Agent Configuration Primary focus
- Multi-agent Orchestration / Runtime Secondary feature
- System / API Integration Primary focus
- Prompt Management / Prompt Engineering Secondary feature
- Retrieval-Augmented Generation Secondary feature
- Enterprise Search / Knowledge Management Secondary feature
- AI / LLM Data Pipeline Secondary feature
- AI Quality Assurance / LLM Evaluation Secondary feature
- AI Observability / Monitoring Secondary feature
- AI Security / Guardrails Secondary feature
- Data Privacy / PII / Confidential AI Secondary feature
- AI Governance / Policy Management Secondary feature
- AI Risk / Compliance Secondary feature
- Human-in-the-Loop Review / Feedback Primary focus
- Call Transcription / Speech-to-Text Data Capture Secondary feature
- Conversation Intelligence / Speech Analytics Secondary feature
- Text Chatbots / Conversational Assistants Primary focus
- Voice AI Agents Secondary feature
- Voice Infrastructure / STT / TTS Secondary feature
- AI for Customer Experience / Support Automation Primary focus
- Sales / Revenue Intelligence Secondary feature
- Analytics / BI / Decision Intelligence Secondary feature
Show all 32 attributes
- AI Workflows Secondary feature
- AI Automation / Business Process Automation Secondary feature
- AI Fine-tuning / Custom Model Training Not emphasized
- Agent Builder / Agent Configuration Primary focus
- Multi-agent Orchestration / Runtime Secondary feature
- System / API Integration Primary focus
- Prompt Management / Prompt Engineering Secondary feature
- Retrieval-Augmented Generation Secondary feature
- Graph RAG / Knowledge Graph Retrieval Not emphasized
- Enterprise Search / Knowledge Management Secondary feature
- AI / LLM Data Pipeline Secondary feature
- Document AI / Document Processing Not emphasized
- Model Deployment / Inference Infrastructure Not emphasized
- Traditional Machine Learning Not emphasized
- AI Quality Assurance / LLM Evaluation Secondary feature
- AI Observability / Monitoring Secondary feature
- AI Security / Guardrails Secondary feature
- Data Privacy / PII / Confidential AI Secondary feature
- AI Governance / Policy Management Secondary feature
- AI Risk / Compliance Secondary feature
- AI Asset Inventory / Model Registry Not emphasized
- Human-in-the-Loop Review / Feedback Primary focus
- Call Transcription / Speech-to-Text Data Capture Secondary feature
- Conversation Intelligence / Speech Analytics Secondary feature
- Text Chatbots / Conversational Assistants Primary focus
- Voice AI Agents Secondary feature
- Voice Infrastructure / STT / TTS Secondary feature
- AI for Customer Experience / Support Automation Primary focus
- Sales / Revenue Intelligence Secondary feature
- Analytics / BI / Decision Intelligence Secondary feature
- Enterprise App / Internal Tool Builder Not emphasized
- Vertical-Specific AI Not emphasized