ElevenLabs Conversational AI vs Hume EVI
ElevenLabs Conversational AI vs Hume EVI: side-by-side comparison of two voice agent platforms systems — architecture, taxonomy, license, pricing, MCP/A2A support, and direct edges.
ElevenLabs Conversational AI · Hume EVI
Cost & capability
| ElevenLabs Conversational AI | Hume EVI | |
|---|---|---|
| Capability band | competent | competent |
| Capability composite | 62 | 54 |
| Use cases | Latency Sensitive, Scoped Agentic | Latency Sensitive, Scoped Agentic |
Where they differ (10)
Rows where both sides have data and the values disagree — the shortlist of dimensions that actually distinguish these two systems.
| ElevenLabs Conversational AI | Hume EVI | |
|---|---|---|
| Capability composite | 62 | 54 |
| Type | Voice-agent platform from a TTS-first vendor (ElevenLabs) | Empathic voice-AI platform (voice + emotion) |
| Created | 2024-11 (launch) | 2024 (EVI launched; Hume founded 2021) |
| GitHub | github.com/elevenlabs (SDKs only) | github.com/HumeAI (SDKs) |
| Pricing | Per-minute usage (Conv AI tier); free + Pro + Enterprise | Per-minute usage; tiered + Enterprise |
| Funding | $180M Series C Jan-2025 (a16z + ICONIQ; $3.3B val) | $50M Series B Mar-2024 (EQT) |
| Backend storage | Conversation state in ElevenLabs cloud | Session state in Hume cloud |
| API surface | REST + WebSocket APIs + SDKs (Python, JS, Swift, Android) | WebSocket + REST APIs + SDKs (Python, JS, React Native) |
| Optimised for | Natural-sounding multilingual voice agents leveraging ElevenLabs TTS | Emotion-aware voice agents; therapy + companion apps |
| Anti-fit | TTS-led — strongest at voice naturalness, less specialised for high-volume telephony routing | Empathic / emotion focus — overkill if you just want plain voice agent |
At a glance
| ElevenLabs Conversational AI | Hume EVI | |
|---|---|---|
| Section | Voice agent platforms | Voice agent platforms |
| Tier | T1 | T1 |
| Type | Voice-agent platform from a TTS-first vendor (ElevenLabs) | Empathic voice-AI platform (voice + emotion) |
| Created | 2024-11 (launch) | 2024 (EVI launched; Hume founded 2021) |
| Latest release | — | EVI 2 (2024-09) |
| GitHub | github.com/elevenlabs (SDKs only) | github.com/HumeAI (SDKs) |
| Pricing | Per-minute usage (Conv AI tier); free + Pro + Enterprise | Per-minute usage; tiered + Enterprise |
| Funding | $180M Series C Jan-2025 (a16z + ICONIQ; $3.3B val) | $50M Series B Mar-2024 (EQT) |
| Backend storage | Conversation state in ElevenLabs cloud | Session state in Hume cloud |
| Deployment | Cloud-managed | Cloud-managed |
| API surface | REST + WebSocket APIs + SDKs (Python, JS, Swift, Android) | WebSocket + REST APIs + SDKs (Python, JS, React Native) |
| Multi-tenancy | Multi-tenant cloud | Multi-tenant cloud |
| MCP | searched not found | searched not found |
| A2A | searched not found | searched not found |
| OpenTelemetry | searched not found | searched not found |
| Optimised for | Natural-sounding multilingual voice agents leveraging ElevenLabs TTS | Emotion-aware voice agents; therapy + companion apps |
| Anti-fit | TTS-led — strongest at voice naturalness, less specialised for high-volume telephony routing | Empathic / emotion focus — overkill if you just want plain voice agent |
Taxonomy
| Axis | ElevenLabs Conversational AI | Hume EVI |
|---|---|---|
| storage | kv | kv |
| retrieval | injection | injection |
| persistence | session | session |
| update | agent-controlled | agent-controlled |
| unit | turn | turn |
| governance | opaque | opaque |
| conflict | stateless | stateless |
Pros & cons
ElevenLabs Conversational AI
Pros: Best-in-class TTS; $3.3B val parent; SOC 2 + HIPAA; multilingual 30+ languages.
Cons: Newer entrant in agent platform (Nov 2024 launch); strongest at TTS, less mature at full orchestration.
Hume EVI
Pros: Unique empathic/emotion layer; SOC 2 + HIPAA; founder research credentials; clean SDKs.
Cons: Niche positioning; smaller than Vapi/Retell at agent-orchestration layer; emotion-model interpretability concerns.