# Ada vs Decagon (2026): Compare the Two Enterprise AI Support Agents

> Source: https://theagentsindex.com/compare/ada-vs-decagon (structured, researched, re-verified)

Ada and Decagon both run enterprise AI customer service agents across chat, voice and email, and a buyer shortlist often lands on one of them. The two products come from opposite ends of the market and the choice is rarely about features — both cover chat, voice, email, SMS and messaging channels with named brand case studies attached. The decision usually comes down to how much you want to spend, how technical your support operations team is, and whether the rest of your stack needs to talk to the agent programmatically.

Ada is the longer-running of the two: Toronto-founded in 2016 with $200M+ in funding and 350+ enterprise customers, more than six billion interactions handled, and a median contract around $72,000 per year (Vendr data across 114 tracked purchases). What stands out is its public developer surface — a V2 REST API, SDKs and an MCP server that lets Claude, ChatGPT, Gemini and other MCP-compatible clients drive the agent end to end. That is unusual in the category. Configuration runs through structured Playbooks the team authors for multi-step SOPs like refunds and account changes, and the agent pulls only from connected official knowledge sources — past tickets, PDFs, internal wikis, Google Docs, Confluence and Notion are not natively ingested.

Decagon is the newer entrant, founded in San Francisco in 2023 and now valued at $4.5 billion after a $250M Series D in January 2026. It has more than 100 named enterprise customers including Chime, Duolingo, Hertz, Rippling, Notion, Block, Deutsche Telekom and 1-800-Flowers. Vendr data cited via fin.ai puts the median annual contract around $386,000 — roughly five times Ada's median. Decagon does not publish a public developer API. Configuration runs through Agent Operating Procedures, plain-English workflows that Decagon's system converts into the logic the agent follows, with Duet AI Partner auto-drafting or refining procedures from real conversations.

Both are heavily reviewed on G2 (Ada 4.6, Decagon 4.9), but Ada carries a public Trustpilot end-user score of 1.8 out of 5 — a real warning that polished admin tooling does not always translate to the customer experience. Decagon's higher per-resolution billing has drawn G2 complaints about how a resolution is counted. Implementation typically runs 8 to 16 weeks for Ada with the company's professional services team, and 4 to 12 weeks for Decagon even though the platform markets itself as low-code. Both ship with simulations and tracing for monitoring changes before they hit real traffic.

| Fact | Ada | Decagon |
| --- | --- | --- |
| What it is | A Toronto-founded AI customer service agent platform from 2016. Sales-led, custom-quoted, with a Reasoning Engine, MCP server and a public V2 REST API that newer rivals in the category do not all publish. | Enterprise AI customer service agents for chat, voice and email. $4.5B valuation, custom contracts, no public price. |
| Pricing | Custom, contact sales | Custom |
| API | Yes — Public V2 REST API at developers.ada.cx (knowledge, end users, conversations, webhooks, integrations, persona, variables, custom instructions, tools, audit log, data export). An MCP server exposes the same surface to Claude, ChatGPT, Gemini, Google ADK and other MCP clients. | No |
| Tags | API · Autonomous · Enterprise | Autonomous · Enterprise · No-code |
| Best for | Enterprises that want a long-running, well-capitalized AI support agent vendor with a public V2 REST API and an MCP server, rather than a sales-only integration surface. | Large enterprises in retail, travel, fintech, health and telecom that want a heavily-funded, actively-improving AI agent to handle high-volume customer conversations across chat, voice and email, and that can run a multi-week, engineering-supported implementation. |
| Full facts | https://theagentsindex.com/ada.md | https://theagentsindex.com/decagon.md |

## Verdict: Ada or Decagon?

Choose Ada if you want a public API and MCP server, a $72,000/year median contract, and an established customer base — and if you are willing to live with structured Playbooks and to weigh the Trustpilot end-user warning. Choose Decagon if you want a newer, better-funded product with plain-English AOP configuration, deep named-customer case studies and the budget for a roughly five-times-higher median contract.

## FAQ

**Which is cheaper, Ada or Decagon?**

Vendr data puts Ada's median enterprise contract at about $72,000 per year and Decagon's at about $386,000 per year, so Ada is roughly five times cheaper at the median. Both are sales-led with no public price list, no self-serve signup and no free trial.

**Does Decagon have a public API?**

No. Decagon does not publish a developer API — every integration goes through Decagon's enterprise onboarding. Ada publishes a V2 REST API at developers.ada.cx, plus SDKs and an MCP server that lets Claude, ChatGPT, Gemini and other MCP-compatible clients drive the agent end to end.

**How are Ada and Decagon configured?**

Ada uses structured Playbooks the support team authors for multi-step SOPs like refunds and account changes, pulling from connected official knowledge sources only. Decagon uses Agent Operating Procedures, plain-English workflows that Decagon's system converts into the agent logic, with Duet AI Partner auto-drafting or refining procedures from real conversations.

**Do Ada and Decagon both handle voice?**

Yes. Ada routes voice through its Conversation Hub alongside chat, email, SMS, Messenger, WhatsApp, Instagram and in-app. Decagon runs voice as a dedicated product called Decagon Voice, configured through the same plain-English AOPs as Decagon Chat and Decagon Email.

**Which has more enterprise customers, Ada or Decagon?**

Ada reports more than 350 enterprise customers; Decagon names over 100. Both attach published case studies — Ada cites IPSY with 943% ROI, Loop Earplugs with 80% CSAT, Cebu Pacific with a 50% CSAT lift and Life360 with a 400-FTE workload managed by their AI agent. Decagon's named set includes Chime with a 70% resolution rate, Duolingo with 80% deflection, Hertz, Rippling, Notion, Block, Deutsche Telekom, 1-800-Flowers and Hunter Douglas.

**How long does implementation take for Ada or Decagon?**

Ada's typical engagement runs 8 to 16 weeks with Ada's professional services team. Decagon reviews report 4 to 12 weeks, with most teams noting that even low-code features usually need dedicated engineering support for the AOP setup.