Valory AI vs ElevenAgents (2026)

Valory AI

by Evolving Technologies Pty Ltd

ElevenAgents

by ElevenLabs

Pros

• ✓Unusually complete price disclosure for a managed voice product: every tier publishes its voice-minute and SMS allowance, its per-minute overage rate, and the outbound add-on, and the setup fee is disclosed on the same page rather than discovered on a call.
• ✓The rollout is the vendor's job and is included on every plan - discovery workshop, call-flow design, voice and knowledge base setup, calendar and CRM integrations, test calls and ongoing tuning - with go-live quoted at 3 to 5 business days.
• ✓Built for one jurisdiction and specific about it: a Brisbane operator with its ABN published, AES-256 at rest and in transit, and access and retention controls written against Australian Privacy Act 1988 obligations.

Limitations

• ⚠The headline price is not the entry cost. A setup fee applies on top of the monthly rate, quoted only as from 990 and varying with scope, and the top tier is also a from price. Voice minutes and SMS are metered, and exceeding an allowance is charged per minute rather than pausing the agent.
• ⚠The privacy policy permits training on customer call data. It says the vendor relies on aggregated or de-identified information for model improvement wherever reasonably practicable, and that cross-customer training happens only on aggregated or de-identified data. Wherever reasonably practicable is a qualifier rather than a guarantee, and no opt-out is described.
• ⚠There is nothing for a developer and nothing independent to check. No public API and no MCP surface exist and the product cannot be started self-serve. The homepage advertises a 5.0 Google rating, but it carries no review count, no link to the profile and no rating markup, we could not locate a review profile by search, and there is no presence on G2, Capterra or Trustpilot, so the three case studies on the vendor's own site are the only outcome evidence you can inspect.

Pros

• ✓Best-in-class voice quality at $0.08/minute: ElevenLabs voices consistently rank first in naturalness benchmarks, making customer-facing voice deployments sound genuinely human rather than robotic, which directly affects containment rates and customer satisfaction scores.
• ✓MCP-native with official GitHub-published MCP server and webhook integration: agents trigger real-world actions mid-conversation including updating orders, booking appointments, and querying CRMs, enabling true end-to-end resolution rather than information-only responses.
• ✓Model-agnostic architecture supports Claude, GPT-4o, Gemini, and custom LLMs via server integration: teams choose the model that best fits their use case and cost requirements without platform lock-in, and can swap models without rebuilding the agent.

Limitations

• ⚠Usage-based pricing adds cost complexity for high-volume deployments: agent minutes, LLM pass-through costs, and ElevenCreative credits are billed separately, making total monthly cost forecasting difficult without careful monitoring and usage modeling.
• ⚠Developer and API-first platform requiring engineering resources to deploy: non-technical teams building voice agents without coding experience need significant setup time compared to no-code alternatives like Intercom Fin or Tidio that self-serve in hours.
• ⚠Free tier covers approximately 15 minutes of agent conversation time per month: genuinely useful for testing voice quality but insufficient for any meaningful production deployment before requiring a paid plan or ElevenLabs Grant application.