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Description
ECHO, developed by Zencia, is a software-as-a-service platform designed for the creation, deployment, and management of AI voice agents that are ready for production use. Users can easily design AI-driven receptionists, sales representatives, customer service agents, recruiters, or tailored voice employees without the hassle of building telephony integrations, speech recognition, natural language processing, text-to-speech capabilities, or automated workflows from the ground up. ECHO leverages features such as persistent memory, personalized knowledge bases, detection of knowledge gaps, and smart workflows to facilitate natural and contextually aware voice interactions. It allows seamless integration with CRM systems, calendars, and other business tools to streamline both incoming and outgoing communications, qualify leads, set appointments, respond to customer inquiries, and perform various business operations from a unified interface. Furthermore, ECHO's robust multilingual capabilities, comprehensive analytics, call history tracking, and centralized management of agents empower startups, small to medium-sized businesses, and large enterprises to implement scalable Voice AI solutions that retain context, take decisive actions, and enhance the automation of business communications, thus transforming the way organizations interact with their clients.
Description
Vision Agents is a versatile open-source Python framework designed for developing low-latency voice and video AI agents utilizing any model. This framework empowers developers to integrate large language models, speech recognition, and vision models from over 25 different providers, enabling the creation of real-time agents for applications such as telehealth, voice assistance, live coaching, video analysis, interactive avatars, security surveillance, sports commentary, and a variety of other multimodal uses. Its architecture is tailored to facilitate the development of agents capable of listening, speaking, seeing, processing media, accessing tools, and providing instant responses, all while operating on Stream's expansive global edge network, which ensures latency below 500ms. With just a minimal Python setup, developers can quickly create their first agent by leveraging platforms like Gemini Realtime, OpenAI, Deepgram, ElevenLabs, Stream, or other compatible providers. Furthermore, Vision Agents accommodates both real-time speech-to-speech models and tailored speech-to-text, language processing, and text-to-speech pipelines, allowing teams to either rapidly deploy a functional voice agent or exercise complete control over the components involved in speech recognition, language reasoning, and text-to-speech functionalities. Overall, this framework not only simplifies the process of building sophisticated AI agents but also enhances flexibility and performance across diverse applications.
API Access
Has API
API Access
Has API
Screenshots View All
No images available
Integrations
Amazon Bedrock
Amazon Nova
AssemblyAI
Baseten
Claude
Deepgram
Docker
Fish Audio
GPT-5
Grok
Integrations
Amazon Bedrock
Amazon Nova
AssemblyAI
Baseten
Claude
Deepgram
Docker
Fish Audio
GPT-5
Grok
Pricing Details
No price information available.
Free Trial
Free Version
Pricing Details
Free
Free Trial
Free Version
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Vendor Details
Company Name
Zencia AI
Founded
2025
Country
India
Website
zencia.ai
Vendor Details
Company Name
Stream
Country
United States
Website
visionagents.ai/