Ada
Sales quote
No public priceask sales
Per year
Quote
No public price
Ada vs Decagon
Compare with for .
Ada
40%
match · quote
Decagon
40%
match · quote
What matters most?
Fine-tune
What you'd pay
Entry plan for 10 people, billed yearly where offered. Prices checked Oct 2026.
Decagon
Sales quote
No public priceask sales
Per year
Quote
No public price
Ada
From Custom
Mid-market and enterprise brands with high conversation volume across many channels and languages that want a dedicated AI agent platform next to their existing help desk.
vs
Decagon
From Custom
Large consumer brands that want a highly customized AI concierge and are ready to work closely with a vendor on rollout.
Side by side
| Ada | Decagon | |
|---|---|---|
| Pricing | Custom pricing (contact sales) | Custom pricing: per conversation or per resolution |
| G2 Rating | Not yet verified | Not yet verified |
| Best For | Mid-market and enterprise brands with high conversation volume across many channels and languages that want a dedicated AI agent platform next to their existing help desk. | Large consumer brands that want a highly customized AI concierge and are ready to work closely with a vendor on rollout. |
Pros and cons
Ada
Pros
- Very broad channel coverage, including voice and messaging apps
- Playbooks and coaching give non-engineers control over agent behavior
- Testing with simulations before changes go live
- Long list of compliance credentials (SOC 2, HIPAA, PCI DSS, GDPR and others)
Cons
- No public pricing or self-serve trial
- Built for larger volumes; overkill for a small team
- You still need a separate help desk for human agents
Decagon
Pros
- AOPs let CX teams describe workflows in plain language
- Choice of per-conversation or per-resolution pricing
- Built-in experiments and QA monitoring
- Voice, chat and email from one agent
Cons
- No public prices or trial
- Aimed at enterprise volumes, not small teams
- Fewer published integration details than Ada or Forethought
Marcus Williams