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What is TEN?

The Transformative Extensions Network (TEN) is an open-source platform that empowers developers to build real-time multimodal AI agents that can engage through voice, video, text, images, and data streams with remarkably low latency. This framework features a robust ecosystem that includes TEN Turn Detection, TEN Agent, and TMAN Designer, enabling rapid development of agents that respond in a human-like manner and can perceive, communicate, and interact effectively with users. With support for multiple programming languages such as Python, C++, and Go, it offers flexibility for deployment in both edge and cloud environments. By utilizing tools like graph-based workflow design, a user-friendly drag-and-drop interface from TMAN Designer, and reusable elements like real-time avatars, retrieval-augmented generation (RAG), and image synthesis, TEN streamlines the process of creating adaptable and scalable agents with minimal coding requirements. This pioneering framework not only enhances the development process but also paves the way for innovative AI interactions applicable in various fields and sectors, significantly transforming user experiences. Furthermore, it encourages collaboration among developers to push the boundaries of what's possible in AI technology.

What is ConnexAI?

ConnexAI's groundbreaking AI agent leverages our proprietary Athena LLM to create personalized solutions tailored to your customer experience needs. By implementing AI Agents, businesses can streamline monotonous tasks, handle complex inquiries, and provide instant, round-the-clock support, which is crucial for reallocating financial resources effectively. This AI Agent improves the management of customer interactions and inquiries, allowing users to focus their attention on more sensitive engagements. The technology revolutionizes customer communication through efficient, human-like interaction, setting a new standard that far surpasses traditional chatbots. It dramatically reduces both response times and administrative expenses, ensuring that every customer inquiry is handled swiftly and effectively. You can easily train your AI agents by supplying them with pertinent contextual information and documentation, which cultivates a well-informed and context-sensitive team. Operating non-stop, the AI agent enhances customer satisfaction by ensuring clients receive timely assistance and information, which further elevates service quality. As more businesses integrate such advanced technologies, the customer service landscape is undergoing a significant transformation, leading to extraordinary possibilities for efficiency and engagement that were previously unimaginable. Embracing these innovations not only boosts operational effectiveness but also fosters stronger relationships with customers.

Media

Media

Integrations Supported

C++
Docker
Go
Node.js
Python

Integrations Supported

C++
Docker
Go
Node.js
Python

API Availability

Has API

API Availability

Has API

Pricing Information

Free
Free Trial Offered?
Free Version

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

TEN

Company Location

United States

Company Website

theten.ai/

Company Facts

Organization Name

ConnexAI

Date Founded

2013

Company Location

United States

Company Website

athena.connex.ai/us/ai-agents.php

Categories and Features

Conversational AI

Code-free Development
Contextual Guidance
For Developers
Intent Recognition
Multi-Languages
Omni-Channel
On-Screen Chats
Pre-configured Bot
Reusable Components
Sentiment Analysis
Speech Recognition
Speech Synthesis
Virtual Assistant

Categories and Features

Conversational AI

Code-free Development
Contextual Guidance
For Developers
Intent Recognition
Multi-Languages
Omni-Channel
On-Screen Chats
Pre-configured Bot
Reusable Components
Sentiment Analysis
Speech Recognition
Speech Synthesis
Virtual Assistant

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