Decagon vs Gladly
A side-by-side comparison of capabilities, autonomy, integrations, and pricing to help you choose.
Short answer: choose Decagon if you want enterprise ai agents that resolve customer support end to end (Supervised agent, enterprise); choose Gladly if you want customer service platform with sidekick ai agents for chat and voice (Supervised agent, enterprise).
| Decagon | Gladly | |
|---|---|---|
| What it is | Enterprise AI agents that resolve customer support end to end | Customer service platform with Sidekick AI agents for chat and voice |
| Type | agent | product-with-agents |
| Autonomy | Supervised agent | Supervised agent |
| Pricing | enterprise | enterprise |
| Best for | enterprise, mid-market | mid-market, enterprise |
| Deployment | saas, api | saas, api |
| Modalities | text, voice, email | text, voice, email |
| Models | model-agnostic | model-agnostic |
| Protocols | function-calling, rest-api | rest-api, function-calling |
| Integrations | Zendesk, Salesforce, Intercom, Slack | Shopify, Klaviyo, Attentive, Yotpo, Salesforce, Zendesk |
| Capabilities | 3 documented | 4 documented |
Decagon
- +High autonomous resolution on common request types
- +True omnichannel: chat, email, and voice
- +Well funded and rapidly growing, low vendor-risk for enterprises
- -Enterprise-only with no public self-serve pricing
- -Aimed at high-volume brands; overkill for very small teams
Gladly
- +Genuinely omnichannel: one AI persona across chat, email, SMS, social, and voice with continuous context
- +Takes real actions via native two-way Shopify integration, not just deflection
- +No-code authoring for the Sidekick agent
- -Opaque, reportedly premium pricing with seat minimums and a contact-sales path
- -Model stack is not publicly disclosed
Which should you choose?
Decagon is enterprise ai agents that resolve customer support end to end, best for enterprise, mid-market. Gladly is customer service platform with sidekick ai agents for chat and voice, best for mid-market, enterprise. The right choice depends on the autonomy level you want, your existing integrations, and your budget, all compared above.