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Ada vs Decagon

Two fact sheets from our own research, side by side — pricing, platforms, API access and status re-checked by us rather than quoted from the vendors.

The short answer

Public API
Both have one
Best fit
Ada: Enterprise support teams running voice, messaging and email through one agent · Decagon: Consumer brands with high ticket volume across chat, email and voice that need the agent to take actions in backend systems
Trust score
About even — Ada 88, Decagon 84
Status
We could not check Ada — its site turns automated checks away; Decagon was up on Sep 6, 2026

From our own records as of each tool's last check. Anything we have not confirmed is left out rather than guessed. How we verify

Side by side

FactAdaDecagon
CategoryAI Support ChatbotsAI Support Chatbots
Pricing modelContactContact
Public APIYesYes
Trust score88 / 10084 / 100
PlatformsWeb, APIWeb, API
CompanyAdaDecagon AI, Inc.
Launched20162023
Last verifiedSep 6, 2026Sep 6, 2026

What our research says

Ada

Ada is a sales-led enterprise platform: the fit is a support operation with hundreds of thousands of conversations a year and the systems integrations to let an agent actually act. Nobody at that scale will mind that the price lives behind a demo call, but a startup support team looking for a chatbot in an afternoon should look elsewhere. Ten years of doing this and a four-billion-interaction track record are the reasons to take the demo.

Pros

  • Covers voice, messaging and email from one platform rather than chat alone
  • Agents act in connected systems, not just answer from a knowledge base
  • Founded 2016 with a stated four billion interactions and named enterprise customers
  • Documented API, MCP server and an integrations catalogue for developers

Cons

  • No public pricing or self-serve plan; every engagement starts with a demo
  • The vendor's own positioning is enterprise scale, so small volumes are a poor fit
  • Site rejects automated fetches with HTTP 403, so facts are harder to verify

Decagon

One of the two or three vendors a large consumer brand should shortlist for a support agent that must handle refunds, bookings and account actions rather than deflect FAQs, and the plain-language procedures plus built-in QA are what make it operable by a support team instead of engineers. It is an enterprise purchase with a sales cycle and a price that depends on your volume, so a team under a few hundred thousand conversations a year is not the customer.

Pros

  • Agent logic written as natural-language operating procedures rather than flow builders
  • Experiments, simulation testing and always-on QA ship with the agent
  • Chat, email and voice from one vendor with pre-built connectors
  • Reference customers at the scale of Deutsche Telekom, American Airlines and Square

Cons

  • No public pricing or trial; everything goes through a demo and an enterprise contract
  • Built for high-volume brands, so smaller teams are unlikely to clear the commercial threshold
  • Rapid growth and new products such as Duet mean the feature set is moving quickly
  • Governing law and a registered office are not stated in the public legal pages, only a San Francisco mailing address

Which one fits

Choose Ada if you need

  • Enterprise support teams running voice, messaging and email through one agent
  • Companies with the integrations to let the agent resolve rather than deflect
  • Buyers who want an ROI model and a vendor track record before signing

Choose Decagon if you need

  • Consumer brands with high ticket volume across chat, email and voice that need the agent to take actions in backend systems
  • Support operations teams that want to own agent behaviour through written procedures and A/B tests
  • Enterprises that need simulation testing and continuous QA before letting an agent speak to customers

Ada vs Decagon: the questions people ask

Which has a public API, Ada or Decagon?

Both ship a public API, so either can be built on; the fact table above shows the platforms each one runs on.

Browse all AI Support Chatbots →