ECHO by Zencia AI
ECHO by Zencia is a SaaS platform for building, deploying, and managing production-ready AI voice agents. Create AI receptionists, sales agents, customer support assistants, recruiters, or custom AI voice employees without the complexity of integrating telephony, speech-to-text, large language models, text-to-speech, and workflow automation from scratch. ECHO combines persistent memory, custom knowledge bases, knowledge-gap detection, and intelligent workflows to deliver natural, context-aware voice conversations. Connect your CRM, calendars, and business tools to automate inbound and outbound calls, qualify leads, schedule appointments, answer customer queries, and execute business actions from a single dashboard. With multilingual support, analytics, call history, and centralized agent management, ECHO enables startups, SMBs, and enterprises to deploy scalable Voice AI that remembers context, takes action, and helps automate business communication.
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Retell AI
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Retell AI is an advanced platform that enables businesses to build, test, deploy, and monitor AI-powered voice agents for seamless customer interactions. With features like call transfer, appointment scheduling, and knowledge base synchronization, it allows for the creation of lifelike conversations with minimal latency. The platform supports integration with various telephony systems and offers multilingual capabilities, making it suitable for global operations. Retell AI's scalable infrastructure ensures reliable performance, handling high call volumes efficiently. Additionally, it provides robust monitoring tools to analyze call performance and user sentiment, facilitating continuous improvement of voice agents.
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Dograh
Dograh is an open source, self-hostable voice agent platform with a no-code workflow builder for creating production voice agents. Teams can choose their own inbound channels, speech-to-text, LLM, text-to-speech, and telephony providers, or replace the traditional cascade with speech-to-speech models for direct audio-in, audio-out conversations with natural turn-taking, interruption handling, and low latency. The platform supports inbound and outbound calling, widgets, telephony integrations, observability, traces, real-time analytics, hybrid pre-recorded voice plus TTS, and more than 70 languages. Its MCP server lets Claude Code, Cursor, OpenClaw, Codex, and other agent runtimes create, modify, and deploy voice agents directly from development environments. Dograh can run on your own servers, inside a private cloud or VPC, or in a managed environment, with support for models hosted entirely within your perimeter.
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Grok Voice Agent Builder
Grok Voice Agent Builder is xAI’s no-code platform for configuring production voice agents on Grok Voice in under two minutes. It is built for operators and developers who want high-volume voice agents without building the surrounding stack from scratch, bringing telephony, knowledge retrieval, tools, guardrails, MCPs, and observability into one place. Instead of stitching together separate speech-to-text, language model, and text-to-speech APIs, Voice Agent Builder uses one interface on a speech-to-speech path built for Grok Voice, tightly coupled to the model rather than assembled from three different systems. Users can write a plain-language description of how calls should flow, attach documents, connect tools, set guardrails, and move quickly from zero to a working agent. It can retrieve from uploaded knowledge bases in common formats such as plain text, Markdown, Word, PowerPoint, Excel, HTML, JSON, and others.
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