Decagon

Conversational AI platform for concierge customer experience, enabling teams to build, optimize, and scale AI agents across voice, chat, and email channels.

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Founded: 2024
Headquarters: San Francisco
Company size: Not disclosed
Products tracked: 6

Products by Decagon

6 products

AOPsAgent Operating Procedures (AOPs) combine the flexibility of natural language with the reliability of code to define, iterate, and scale AI agent workflows, enabling CX teams to...0.00 reviewsCustomer Support Agents

ChatFlexible, personalized chat built for conversations across web, mobile, and messaging platforms that automatically resolves customer inquiries with accuracy and empathy.0.00 reviewsCustomer Support Agents

DuetAI partner that enables teams to build self-improving AI agents, automatically iterating on agent logic from launch through every improvement.0.00 reviewsCustomer Support Agents

EmailEmail agents built to understand context, stay on brand, and handle complex customer threads to make email feel as responsive as live support.0.00 reviewsCustomer Support Agents

Testing & QAIntegrated testing suite for validating AI agent behavior.0.00 reviewsAI Evaluation & Observability

VoiceVoice AI agents for natural, multilingual conversations customized to brand identity, with advanced turn-taking, customizable voice profiles, and seamless escalations.0.00 reviewsVoice Agents & Contact Centers

Pricing for Decagon

Usage Based, Per Seat

This is the broad commercial model reported for Decagon. Product-level terms are listed below when available.

AOPsAgent Operating Procedures (AOPs) combine the flexibility of natural language with the reliability of code to define, iterate, and scale AI agent workflows, enabling CX teams to...

Pricing model: Usage Based, Per Seat

ChatFlexible, personalized chat built for conversations across web, mobile, and messaging platforms that automatically resolves customer inquiries with accuracy and empathy.

Pricing model: Usage Based, Per Seat

DuetAI partner that enables teams to build self-improving AI agents, automatically iterating on agent logic from launch through every improvement.

Pricing model: Usage Based, Per Seat

EmailEmail agents built to understand context, stay on brand, and handle complex customer threads to make email feel as responsive as live support.

Pricing model: Usage Based, Per Seat

Testing & QAIntegrated testing suite for validating AI agent behavior.

Pricing model: Usage Based, Per Seat

VoiceVoice AI agents for natural, multilingual conversations customized to brand identity, with advanced turn-taking, customizable voice profiles, and seamless escalations.

Pricing model: Usage Based, Per Seat

Trust profile

Security and compliance

No compliance claims have been published for this company.

AES-256 encryption at rest

TLS 1.2+ encryption in transit

Secure key management with access controls, expiration policies, and rotation schedules

Zero-day retention with LLM providers (OpenAI, Anthropic)

PII redaction via Google DLP

Bad actor detection

Supervisor model for hallucination detection

Tamper-protected audit logs

Role-Based Access Control (RBAC)

Single Sign-On (SSO) via Okta and Microsoft Entra

Just-in-time API tokens (short-lived JWT, scoped, discarded after session)

Voice authentication

Multi-region infrastructure with model redundancy

Platform uptime SLAs

Autoscaling and auto-failover

Ongoing health checks