# Dynamiq vs Decagon

URL: https://www.getdynamiq.ai/compare/decagon

> Decagon is a closed, hosted platform for customer agents across chat, voice and email. Dynamiq runs chat, voice and workflow agents in your own environment.

Decagon is a closed, hosted platform for customer-facing agents across chat, voice and email. Dynamiq is a governed platform for chat, voice and workflow agents that you can self-host, with an Apache-2.0 SDK.

By Taras Yaroshko, Applied AI, financial services Updated September 29, 2026

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In short

Decagon is a closed, hosted platform for customer-facing AI agents across web chat, SMS, WhatsApp, voice and email, including outbound calls, configured through Agent Operating Procedures that combine natural language and code, with simulations, A/B experiments and an always-on QA system called Watchtower. Dynamiq is a governed platform for chat, voice and workflow agents with an Apache-2.0 SDK that covers internal and back-office work as well as customer conversations, runs inside your environment, and comes with a deployment team. Enterprises focused on customer experience, including outbound campaigns, fit Decagon; teams that need self-hosting, an open-source engine or agents beyond customer conversations fit Dynamiq.

## Side by side

Facts checked September 29, 2026. Sources below.

| Dimension | Dynamiq | Decagon |
| --- | --- | --- |
| Best for | Enterprises in regulated industries that need chat, voice and workflow agents on one governed stack, deployed inside their own environment. | Enterprises that want one customer-facing agent platform across chat, voice and email, with built-in simulations, experiments and quality monitoring, in industries such as financial services, travel, health, retail and telecom. |
| Deployment options | Dynamiq Cloud, or self-hosted on your AWS, Azure, GCP, IBM Cloud, Red Hat OpenShift or any Kubernetes 1.32+ cluster, or on-prem. Fully isolated or air-gapped setups are delivered with our engineers. | Hosted by Decagon on multi-region infrastructure, per its security page, and available to buy through AWS Marketplace since July 2026; no self-hosted or on-premises option is described on its site. |
| Self-hosted or on-prem | Yes. Self-hosted on your cloud or on-prem, or Dynamiq Cloud; both run the same engine. | Not publicly documented; Decagon describes only its hosted platform. |
| License and source code | The Python SDK is open source under Apache-2.0 (github.com/dynamiq-ai/dynamiq), and the visual canvas runs on the same engine. The platform around it is not open source. | Closed source; no open-source repository or SDK is published. Decagon offers APIs, MCP support, and Git-based versioning for its Agent Operating Procedures. |
| Model choice | 29 model providers in the SDK, the most-used models behind one OpenAI-compatible AI Gateway endpoint, plus open models served on vLLM and LoRA fine-tuning. | No customer-facing model choice is described. Decagon says over 80% of its model traffic runs on models it trained itself (March 2026), and it enforces zero data retention with AI providers such as OpenAI and Anthropic. |
| Agent types (chat, voice, workflow) | Chat, inbound voice and workflow agents on one engine. AI Coworker works with its own cloud sandbox computer, in the browser, Slack, Microsoft Teams and Telegram; Voice Agents answer inbound calls; Agent Builder runs workflow agents. | Customer-facing agents across web chat, SMS, WhatsApp, voice and email, plus outbound campaigns such as payment reminders by SMS or call, a copilot for human representatives, and browser actions that operate internal systems during a conversation. Internal or back-office agents outside customer conversations are not described. |
| Voice | Inbound calls only, over WebRTC, SIP and WebSocket, with per-turn latency measurement and simulations scored by an LLM judge. | Inbound and outbound calls in more than 70 languages with automatic language detection, SIP trunking into existing telephony, and voice authentication for callers, per Decagon's voice, integrations and security pages. |
| Developer surface | Agent Builder pairs a visual canvas with the open-source Python SDK on one engine, with Choice and rules nodes, workflows generated from a prompt, and versions with rollback. | Agent Operating Procedures that mix natural language and code, versioned in Git, with Duet, an AI partner for building and improving agents; simulations run in CI/CD pipelines, and APIs and MCP connect tools. No general-purpose SDK or CLI is published. |
| Governance (guardrails, approvals, SSO) | Guardrails that detect PII and prompt injection, policy detection, validators and approvals with editable fields on any tool step, on every plan; SSO (OIDC with Okta and Microsoft Entra ID) on Enterprise. | SSO through identity providers such as Okta and Microsoft Entra, role-based access, short-lived scoped tokens for agent access to customer systems, tamper-protected audit logs, bad actor detection, a supervisor that revises hallucinated responses before they send, and automatic redaction of sensitive data in logs and transcripts after a conversation ends. |
| Evals and observability | Evals with datasets built from traces, LLM-as-a-judge, predefined and code metrics, and real-time evaluations on live deployments; traces with cost and latency per node, monitoring, and an AI agent that surfaces issues from production traces. | Simulations that test agents before deployment and with every update, A/B experiments on live traffic against a control group, Watchtower QA that reviews every AI and human conversation against custom criteria, and reporting with generative analytics. |
| Integrations | 2,100+ app integrations and 11,800+ actions, plus MCP servers and per-user connections. | Pre-built integrations such as Salesforce, Zendesk, Intercom, Kustomer, Amazon Connect and RingCentral, plus APIs and MCP; no total count is published. |
| Compliance | SOC 2 and CASA Tier 2, with a BAA for HIPAA workloads and a DPA under GDPR. | Its security page shows SOC 2, HIPAA, GDPR, CCPA, ISO, PCI and EU AI Act badges, and a September 2026 product post states the platform meets PCI, SOC 2, HIPAA, GDPR and CCPA. |
| Delivery help (engineers) | Forward-deployed engineers run a bootcamp in your environment, ship the first production agent with your team, then hand over. | No named engineering engagement. Decagon says its tools remove the need for lengthy configuration cycles and large forward-deployed engineering teams, and it runs Decagon University certifications. |
| Pricing model | Free to start ($0), and Enterprise with custom pricing. Available on AWS Marketplace, Microsoft Azure Marketplace and IBM Marketplace. | Not published on Decagon's site, which routes buyers to a demo; it is also sold through AWS Marketplace. |

Best for

Dynamiq · Enterprises in regulated industries that need chat, voice and workflow agents on one governed stack, deployed inside their own environment.

Decagon · Enterprises that want one customer-facing agent platform across chat, voice and email, with built-in simulations, experiments and quality monitoring, in industries such as financial services, travel, health, retail and telecom.

Deployment options

Dynamiq · Dynamiq Cloud, or self-hosted on your AWS, Azure, GCP, IBM Cloud, Red Hat OpenShift or any Kubernetes 1.32+ cluster, or on-prem. Fully isolated or air-gapped setups are delivered with our engineers.

Decagon · Hosted by Decagon on multi-region infrastructure, per its security page, and available to buy through AWS Marketplace since July 2026; no self-hosted or on-premises option is described on its site.

Self-hosted or on-prem

Dynamiq · Yes. Self-hosted on your cloud or on-prem, or Dynamiq Cloud; both run the same engine.

Decagon · Not publicly documented; Decagon describes only its hosted platform.

License and source code

Dynamiq · The Python SDK is open source under Apache-2.0 (github.com/dynamiq-ai/dynamiq), and the visual canvas runs on the same engine. The platform around it is not open source.

Decagon · Closed source; no open-source repository or SDK is published. Decagon offers APIs, MCP support, and Git-based versioning for its Agent Operating Procedures.

Model choice

Dynamiq · 29 model providers in the SDK, the most-used models behind one OpenAI-compatible AI Gateway endpoint, plus open models served on vLLM and LoRA fine-tuning.

Decagon · No customer-facing model choice is described. Decagon says over 80% of its model traffic runs on models it trained itself (March 2026), and it enforces zero data retention with AI providers such as OpenAI and Anthropic.

Agent types (chat, voice, workflow)

Dynamiq · Chat, inbound voice and workflow agents on one engine. AI Coworker works with its own cloud sandbox computer, in the browser, Slack, Microsoft Teams and Telegram; Voice Agents answer inbound calls; Agent Builder runs workflow agents.

Decagon · Customer-facing agents across web chat, SMS, WhatsApp, voice and email, plus outbound campaigns such as payment reminders by SMS or call, a copilot for human representatives, and browser actions that operate internal systems during a conversation. Internal or back-office agents outside customer conversations are not described.

Voice

Dynamiq · Inbound calls only, over WebRTC, SIP and WebSocket, with per-turn latency measurement and simulations scored by an LLM judge.

Decagon · Inbound and outbound calls in more than 70 languages with automatic language detection, SIP trunking into existing telephony, and voice authentication for callers, per Decagon's voice, integrations and security pages.

Developer surface

Dynamiq · Agent Builder pairs a visual canvas with the open-source Python SDK on one engine, with Choice and rules nodes, workflows generated from a prompt, and versions with rollback.

Decagon · Agent Operating Procedures that mix natural language and code, versioned in Git, with Duet, an AI partner for building and improving agents; simulations run in CI/CD pipelines, and APIs and MCP connect tools. No general-purpose SDK or CLI is published.

Governance (guardrails, approvals, SSO)

Dynamiq · Guardrails that detect PII and prompt injection, policy detection, validators and approvals with editable fields on any tool step, on every plan; SSO (OIDC with Okta and Microsoft Entra ID) on Enterprise.

Decagon · SSO through identity providers such as Okta and Microsoft Entra, role-based access, short-lived scoped tokens for agent access to customer systems, tamper-protected audit logs, bad actor detection, a supervisor that revises hallucinated responses before they send, and automatic redaction of sensitive data in logs and transcripts after a conversation ends.

Evals and observability

Dynamiq · Evals with datasets built from traces, LLM-as-a-judge, predefined and code metrics, and real-time evaluations on live deployments; traces with cost and latency per node, monitoring, and an AI agent that surfaces issues from production traces.

Decagon · Simulations that test agents before deployment and with every update, A/B experiments on live traffic against a control group, Watchtower QA that reviews every AI and human conversation against custom criteria, and reporting with generative analytics.

Integrations

Dynamiq · 2,100+ app integrations and 11,800+ actions, plus MCP servers and per-user connections.

Decagon · Pre-built integrations such as Salesforce, Zendesk, Intercom, Kustomer, Amazon Connect and RingCentral, plus APIs and MCP; no total count is published.

Compliance

Dynamiq · SOC 2 and CASA Tier 2, with a BAA for HIPAA workloads and a DPA under GDPR.

Decagon · Its security page shows SOC 2, HIPAA, GDPR, CCPA, ISO, PCI and EU AI Act badges, and a September 2026 product post states the platform meets PCI, SOC 2, HIPAA, GDPR and CCPA.

Delivery help (engineers)

Dynamiq · Forward-deployed engineers run a bootcamp in your environment, ship the first production agent with your team, then hand over.

Decagon · No named engineering engagement. Decagon says its tools remove the need for lengthy configuration cycles and large forward-deployed engineering teams, and it runs Decagon University certifications.

Pricing model

Dynamiq · Free to start ($0), and Enterprise with custom pricing. Available on AWS Marketplace, Microsoft Azure Marketplace and IBM Marketplace.

Decagon · Not published on Decagon's site, which routes buyers to a demo; it is also sold through AWS Marketplace.

## Choose Dynamiq when

-   One engine for chat, voice and workflow agents, covering internal and back-office work as well as customer conversations.
-   The agent engine is an open-source Python SDK under Apache-2.0, so the code your agents run on is yours to read, audit and fork.
-   Runs inside your environment: Dynamiq Cloud, or self-hosted on your AWS, Azure, GCP, IBM Cloud, OpenShift or any Kubernetes 1.32+ cluster, or on-prem, with isolated setups delivered with our engineers.
-   Model choice stays with you: 29 model providers in the SDK, the most-used models behind one OpenAI-compatible endpoint, plus open models on vLLM and LoRA fine-tuning.

## Choose Decagon when

-   Customer experience is the whole scope, including outbound calls and SMS or WhatsApp campaigns such as payment reminders, which Dynamiq's inbound-only voice agents do not cover.
-   A built-in quality loop for customer conversations: simulations in CI/CD, A/B experiments on live traffic and Watchtower QA across AI and human agents.
-   CX teams define agent behavior in Agent Operating Procedures without waiting on engineering, and can buy through AWS Marketplace.

## Moving from Decagon

Agent Operating Procedures and conversation designs built in Decagon are rebuilt as agents and workflows in Dynamiq's Agent Builder; procedures versioned in Git give a clear starting point for instructions and tool calls. Chat and email channels reconnect through Dynamiq integrations or MCP servers, inbound calls move to Dynamiq Voice Agents over SIP, and knowledge sources are re-ingested into Dynamiq Knowledge. Outbound calling and campaign flows have no direct equivalent, because Dynamiq voice agents are inbound only.

## Questions and answers

### Is Decagon open source?

No. Decagon publishes no open-source repository or SDK; it offers APIs and MCP support for integrations. Dynamiq's Python SDK is open source under Apache-2.0; the Dynamiq platform is not.

### Is Decagon SOC 2 and HIPAA compliant?

Decagon's security page shows SOC 2, HIPAA, GDPR, CCPA, ISO, PCI and EU AI Act badges, and a September 2026 product post states the platform meets PCI, SOC 2, HIPAA, GDPR and CCPA. Dynamiq holds SOC 2 and CASA Tier 2, and signs a BAA for HIPAA workloads and a DPA under GDPR.

### Can Decagon run self-hosted or on-premises?

Not per its site, which describes a hosted platform on multi-region infrastructure. Dynamiq self-hosts on your own cloud or on-prem.

### Does Decagon make outbound calls?

Yes. Decagon's voice product initiates outbound calls for sales, support and customer updates, per its voice page. Dynamiq Voice Agents handle inbound calls only.

### Does Decagon publish pricing?

Not on its own site, which routes buyers to a demo; it is also sold through AWS Marketplace. Dynamiq offers a free plan to start and custom Enterprise pricing.

## Sources

1.  [Decagon homepage](https://decagon.ai/)
2.  [Decagon security](https://decagon.ai/security)
3.  [Decagon voice](https://decagon.ai/product/voice)
4.  [Decagon chat](https://decagon.ai/product/chat)
5.  [Agent Operating Procedures](https://decagon.ai/product/aop)
6.  [Decagon Watchtower](https://decagon.ai/product/watchtower)
7.  [Decagon testing and QA](https://decagon.ai/product/testing-qa)
8.  [Decagon experiments](https://decagon.ai/product/experiments)
9.  [Decagon integrations](https://decagon.ai/product/integrations)
10.  [Decagon Duet](https://decagon.ai/product/duet)
11.  [Introducing Decagon Labs (March 2026)](https://decagon.ai/blog/introducing-decagon-labs)
12.  [Decagon on AWS Marketplace (July 2026)](https://decagon.ai/blog/decagon-and-aws-marketplace)
13.  [Decagon Campaign Composer (September 2026)](https://decagon.ai/blog/campaign-composer)
14.  [Decagon Assist (August 2026)](https://decagon.ai/blog/decagon-assist)
15.  [Decagon Browser Actions (August 2026)](https://decagon.ai/blog/browser-actions)
16.  [Decagon Series D announcement](https://decagon.ai/blog/series-d-announcement)

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