Fin AI

https://fin.ai/ Research Team Data
Pending Acquisition Pending acquisition by Salesforce

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