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.
This comparison is generated from the sourced Decagon and Gladly profiles. Open either profile to review its evidence and last-reviewed date.