# Alternatives to Ringly > Source: https://theagentsindex.com/ringly/alternatives (current datasheets, evidence-ranked) Candidates share the baseline category or are previously researched peers. Requirements, preserved strengths, explicit trade-offs and research coverage decide the order; paid tier does not. ## Shortlist ### 1. Vapi Developer platform for building, testing and deploying voice AI agents that make and receive phone calls. **Research coverage:** 35/35 criteria **Where it improves on Ringly:** - [Multi-agent: yes — Squads route one conversation across several specialised assistants with context-preserving handoffs.](https://docs.vapi.ai/quickstart/introduction) - [Claude: yes — Claude is selectable as the assistant's LLM, on Vapi's integration or your own Anthropic account.](https://docs.vapi.ai/providers/model/anthropic) - [Open models: yes — Open-weight models reach the pipeline through Groq, Together AI, Mistral, DeepSeek and OpenRouter, or a self-hosted server.](https://vapi.ai/platform) **Trade-offs against Ringly:** - No researched regression against the baseline. [View Vapi](https://theagentsindex.com/vapi) ### 2. Synthflow Enterprise voice AI platform with in-house telephony for inbound and outbound call automation. **Research coverage:** 35/35 criteria **Where it improves on Ringly:** - [Multi-agent: yes — Subflows act as specialised agents that a parent flow triggers for individual tasks.](https://synthflow.ai/) - [Agent permissions: yes — Flow logic, approved knowledge sources, end-call reasons and handoff triggers bound what an agent may say or do.](https://synthflow.ai/) - [Model choice: partial — You pick the model per agent, but only from Synthflow's list of GPT and Synthflow LLM options.](https://docs.synthflow.ai/general-configuration) **Trade-offs against Ringly:** - No researched regression against the baseline. [View Synthflow](https://theagentsindex.com/synthflow-ai) ### 3. AudioCodes Live Hub Self-service cloud platform for building voice AI agents and connecting them to real telephony channels. **Research coverage:** 33/35 criteria **Where it improves on Ringly:** - [Multi-agent: yes — The AI Agents framework is explicitly multi-agent: several specialist agents collaborate on one call and callers are routed between them, with documented multi-agent topologies.](https://techdocs.audiocodes.com/livehub/Content/AI-Agents/AI%20Agents.htm) - [Claude: partial — Claude models are supported only as bring-your-own custom models configured with your own Anthropic API key; the pre-deployed model list carries OpenAI and Google models only.](https://techdocs.audiocodes.com/livehub/Content/AI-Agents/Bring%20your%20own%20models.htm) - [Open models: partial — Open-weight models such as gpt-oss and Gemma are reachable only through the bring-your-own-model path with your own Groq, Cerebras or OpenAI keys, not from the pre-deployed set.](https://techdocs.audiocodes.com/livehub/Content/AI-Agents/Bring%20your%20own%20models.htm) **Trade-offs against Ringly:** - No researched regression against the baseline. [View AudioCodes Live Hub](https://theagentsindex.com/audiocodes-live-hub) ### 4. ElevenLabs Agents Hosted platform for building voice and chat agents, with telephony, SDKs and a choice of LLM. **Research coverage:** 35/35 criteria **Where it improves on Ringly:** - [Multi-agent: yes — An orchestrator agent routes a live conversation to specialist agents on natural-language conditions, and transfers can be nested; the transcript carries across.](https://elevenlabs.io/docs/eleven-agents/customization/tools/system-tools/agent-transfer) - [Agent permissions: yes — Tool use is gated per MCP server and per tool: always ask, fine-grained (auto-approved, requires approval, disabled), or no approval at all.](https://elevenlabs.io/docs/eleven-agents/customization/tools/mcp) - [Claude: yes — Anthropic models are natively selectable in agent settings; a few older Claude models drop out in EU data-residency workspaces.](https://elevenlabs.io/docs/eleven-agents/customization/llm) **Trade-offs against Ringly:** - [Admin controls: partial — Guardrails constrain what an agent may say and per-tool approval constrains what it may do, but Guardrails is in Alpha and enabling MCP servers is not restricted to admins.](https://elevenlabs.io/docs/eleven-agents/best-practices/guardrails) [View ElevenLabs Agents](https://theagentsindex.com/elevenlabs-conversational-ai) ### 5. PolyAI Enterprise platform for building voice and chat agents that resolve customer calls, priced per minute. **Research coverage:** 35/35 criteria **Where it improves on Ringly:** - [Claude: yes — Claude is one of the third-party models you can run instead of Raven; the model docs list Claude options under the Amazon Bedrock provider tab, selectable per channel.](https://poly.ai/blog/agentic-dialog-platform-open-to-builders) - [Open models: partial — The model catalogue enumerates only Raven, OpenAI and Amazon Bedrock (Claude, Nova) with no open-weight option, but you can attach your own LLM endpoint.](https://docs.poly.ai/behavior/models/byom) - [Model choice: yes — You choose the model per channel in voice and chat configuration; Raven is the recommended default rather than the only option.](https://docs.poly.ai/behavior/models/model-use) **Trade-offs against Ringly:** - [Pooled budget: partial — Conversation volume draws on one account-level Subscription Volume of CX Tokens, but the Wren builder allowance is per person and not shared.](https://docs.poly.ai/wren/usage-and-limits) [View PolyAI](https://theagentsindex.com/polyai) ### 6. OmniDimension No-code platform for building voice AI agents and running them on phone, web chat, WhatsApp, email and SMS. **Research coverage:** 35/35 criteria **Where it improves on Ringly:** - [Multi-agent: partial — Workflows chain agent actions and can call sub-workflows, so several agents run in sequence, but the docs describe no agent-to-agent handoff or shared-state orchestration.](https://docs.omnidim.io/docs/workflows) - [Open models: yes — Open-weight families are selectable through the OpenRouter and Bedrock entries in the catalogue, so you are not confined to closed frontier models.](https://omnidim.io/pricing) - [Model choice: yes — You choose the speech-to-text, LLM and text-to-speech provider per agent and may mix them freely; the vendor does not pin you to one stack.](https://omnidim.io/pricing) **Trade-offs against Ringly:** - [Admin controls: partial — Real per-user controls exist only for reseller accounts, which can switch dashboard menus on or off per client and cap their concurrency; ordinary team plans have no documented roles or permission settings, and agent limits are set per agent instead.](https://docs.omnidim.io/docs/api-reference/reseller/setUserAccessControl) [View OmniDimension](https://theagentsindex.com/omnidimension) ## Method Unknown data is never treated as a benefit or a trade-off. Featured placement is labelled but cannot alter recommendation order.