Decagon vs Yellow.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 Yellow.ai if you want enterprise conversational ai for customer and employee experience (Supervised agent, usage).
| Decagon | Yellow.ai | |
|---|---|---|
| What it is | Enterprise AI agents that resolve customer support end to end | Enterprise conversational AI for customer and employee experience |
| Type | agent | platform |
| Autonomy | Supervised agent | Supervised agent |
| Pricing | enterprise | usage · Free plan; then ~$0.99/resolution |
| Best for | enterprise, mid-market | enterprise, mid-market |
| Deployment | saas, api | saas |
| Modalities | text, voice, email | text, voice, email |
| Models | model-agnostic | model-agnostic, gpt, proprietary |
| Protocols | function-calling, rest-api | rest-api |
| Integrations | Zendesk, Salesforce, Intercom, Slack | Salesforce, Zendesk, Genesys, WhatsApp, Slack, Microsoft Teams |
| 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
Yellow.ai
- +Multi-LLM, model-agnostic architecture reduces lock-in
- +True omnichannel (chat, voice, email) with 150+ integrations
- +Orchestrator LLM enables multi-intent, context-switching conversations without manual intent training
- -Enterprise pricing is opaque and hard to predict beyond the entry usage tier
- -Orchestrator LLM has documented constraints (English-only, concurrency ceiling)
Which should you choose?
Decagon is enterprise ai agents that resolve customer support end to end, best for enterprise, mid-market. Yellow.ai is enterprise conversational ai for customer and employee experience, best for enterprise, mid-market. 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 Yellow.ai profiles. Open either profile to review its evidence and last-reviewed date.