Conversational AI platform for enterprise customer service automation
Decagon builds conversational AI agents for customer-facing operations at scale. The company's tech stack—Zendesk, Salesforce, HubSpot, WebRTC, RAG—reflects deep integration with existing enterprise support and CRM infrastructure. Hiring is heavily skewed toward engineering (46 roles) and sales (25 roles), with meaningful investment in research (9), suggesting both product velocity and go-to-market motion. Active pain points around agent reliability, deployment bottlenecks, and integration complexity indicate the core technical challenge: moving beyond single-channel chatbots into production-grade agents that work across voice, chat, email, and SMS in complex customer environments.
Notable leadership hires: Account Director
Decagon delivers a conversational AI platform designed to replace traditional customer support workflows—tickets, hold times, escalations—with AI agents capable of handling multichannel interactions. The platform supports voice, chat, email, SMS, and custom channels, and integrates with enterprise systems including Zendesk, Salesforce, and HubSpot. The company operates across North America and UK markets with a 201–500-person organization founded in 2023. Product development roadmap centers on agent reliability, self-serve configuration, and deployment acceleration. The sales team is actively pursuing large enterprise logos while managing complex integrations into existing customer ecosystems.
Decagon runs on GCP and AWS, with containerization via Docker and Kubernetes. Core infrastructure includes Python, TypeScript, Terraform, and WebRTC for voice. Integration layer covers Zendesk, Salesforce, HubSpot, MuleSoft, and RAG. Security tooling includes SAST, DAST, and IAST. Go-to-market tools: ZoomInfo, LinkedIn Sales Navigator, Gong.
San Francisco, California. The company actively hires in the United States, United Kingdom, Gibraltar, and Canada.
Decagon's technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →
This is not an official vendor or customer list. It is a technology-adoption signal inferred from public data, intended for B2B research.