Decagon vs Kore.ai
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 Kore.ai if you want enterprise platform to build and run production ai agents (Supervised agent, enterprise).
| Decagon | Kore.ai | |
|---|---|---|
| What it is | Enterprise AI agents that resolve customer support end to end | Enterprise platform to build and run production AI agents |
| Type | agent | platform |
| Autonomy | Supervised agent | Supervised agent |
| Pricing | enterprise | enterprise |
| Best for | enterprise, mid-market | enterprise |
| Deployment | saas, api | saas, on-prem |
| Modalities | text, voice, email | text, voice, email |
| Models | model-agnostic | model-agnostic, gpt, claude, gemini, open-source |
| Protocols | function-calling, rest-api | a2a, mcp, rest-api |
| Integrations | Zendesk, Salesforce, Intercom, Slack | AWS, Microsoft Azure, Slack, Microsoft Teams, Okta, Ping Identity |
| 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
Kore.ai
- +Genuinely model- and infrastructure-agnostic with bring-your-own-model
- +Deep enterprise readiness: SSO/SAML, on-prem and behind-firewall, encryption, audit, runtime policy
- +Broad packaged offering (Service, Work, Process, GALE) with open-protocol (A2A, MCP) interoperability
- -Opaque, sales-gated, session-based pricing with add-ons
- -Breadth brings complexity; not lightweight for small teams
Which should you choose?
Decagon is enterprise ai agents that resolve customer support end to end, best for enterprise, mid-market. Kore.ai is enterprise platform to build and run production ai agents, best for enterprise. The right choice depends on the autonomy level you want, your existing integrations, and your budget, all compared above.