Decagon
The facts below are what the maker publishes about Decagon, checked and dated. Our editors have not written about it yet.
The facts
Each one read from Decagon's own pages, with the date it was checked.
What it does
- Access controls
- Decagon lists role-based access control, single sign-on with Okta and Microsoft Entra, and short-lived, scoped JWT API tokens.checked 10 Oct 2026
- Agent development
- Duet analyzes customer conversations to identify workflow gaps and generate, test, and refine AOPs.checked 10 Oct 2026
- Agent workflows
- Agent Operating Procedures let teams define agent behavior in natural language and adapt workflows as business needs change.checked 10 Oct 2026
- AI data handling
- The security page says Decagon enforces zero-data retention with AI providers, so conversation data is not stored or used for training.checked 9 Oct 2026
- AI safeguards
- Decagon describes bad-actor detection, a supervisor model that checks responses for hallucinations, and Watchtower conversation reviews against custom criteria.checked 10 Oct 2026
- Channels
- The platform unifies customer experiences across chat, voice, and email.checked 10 Oct 2026
- Custom connections
- Decagon supports MCP connectivity, APIs, custom tool integrations, and SIP trunking for voice.checked 10 Oct 2026
- Custom connectivity
- The site says agents can retrieve data and trigger actions through self-serve APIs and custom tool integrations.checked 9 Oct 2026
- Enterprise resilience
- The security page lists multi-region infrastructure, model redundancy, platform uptime SLAs, autoscaling, and auto-failover.checked 9 Oct 2026
- Integrations
- Decagon lists connectors for Salesforce, Intercom, Zendesk, Confluence, Contentful, Kustomer, Amazon Connect, and RingCentral.checked 10 Oct 2026
- Intended customers
- Decagon describes its platform as enabling leading enterprises to deploy AI agents across customer channels.checked 10 Oct 2026
- Named integrations
- Examples include Salesforce, Intercom, Zendesk, Confluence, Contentful, Kustomer, Amazon Connect, and RingCentral.checked 9 Oct 2026
- Optimization
- The platform includes testing, observability, experimentation, and analytics for improving agents.checked 9 Oct 2026
- Pricing model
- A Decagon pricing article describes per-conversation and per-resolution pricing options; it does not give prices.checked 9 Oct 2026
- Product
- Decagon is a conversational AI platform for building, optimizing, and scaling customer service agents.checked 10 Oct 2026
- Security
- The security page states that data is encrypted with AES-256 at rest and TLS 1.2+ in transit, and that Decagon enforces zero data retention with AI providers including OpenAI and Anthropic.checked 10 Oct 2026
- Support
- The site lists support contact [email protected].checked 10 Oct 2026
- Testing and monitoring
- The platform offers simulated conversations, unit testing, versioning, A/B experiments, observability, and always-on conversation QA.checked 10 Oct 2026
The company
- Company
- Decagon’s about page names Jesse Zhang and Ashwin Sreenivas as co-founders and describes its focus as concierge customer experiences.checked 9 Oct 2026
- Headquarters
- Decagon’s privacy policy lists a San Francisco, California mailing address.checked 9 Oct 2026
