Dialogflow
Dialogflow from Google Cloud is a natural language understanding platform that makes it easy to design and integrate a conversational user interface into your mobile app, web application, device, bot, interactive voice response system, and so on. Using Dialogflow, you can provide new and engaging ways for users to interact with your product. Dialogflow can analyze multiple types of input from your customers, including text or audio inputs (like from a phone or voice recording). It can also respond to your customers in a couple of ways, either through text or with synthetic speech. Dialogflow CX and ES provide virtual agent services for chatbots and contact centers. If you have a contact center that employs human agents, you can use Agent Assist to help your human agents. Agent Assist provides real-time suggestions for human agents while they are in conversations with end-user customers.
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Aethex
AethexAI is the voice AI stack for emerging markets, built for end-to-end voice agents localized for your market. It brings together infrastructure, models, and deployment in one environment, with proprietary Kora 1 models trained on real conversational speech and human-labeled data across emerging markets. The Kora 1 Engine is designed for real speech, native tool calling, workflow-aware routing, dedicated infrastructure, dialect-aware interactions, and sub-500ms turn-taking. Teams can design, deploy, and manage voice agents that handle calls, messages, and workflows across support, sales, onboarding, and collections, integrated with the systems they already run. It moves from hello to resolution, with agents that can read and write data, trigger actions, and close loops inside existing systems rather than alongside them. Agent Studio lets users design conversation flows, set guardrails, configure personas, and build inbound or outbound agents with no code required.
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ConvoZen
ConvoZen AI is a unified conversational intelligence and agentic AI platform built to automate, analyze, and optimize customer interactions across contact center environments. It enables organizations to deploy autonomous, multilingual AI agents that operate across voice, chat, WhatsApp, email, and social channels, handling workflows 24/7 while preserving context across multiple sessions for more natural, continuous conversations. It combines real-time conversational AI with analytics, allowing businesses to extract insights from 100% of customer interactions, including sentiment, compliance risks, performance gaps, and customer intent. Its architecture includes specialized AI agents such as frontline conversational agents for direct customer interaction, supervisor agents that audit and score conversations automatically, and copilot agents that assist human agents during live calls with next-best actions, knowledge suggestions, and compliance guidance.
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IBM watsonx Assistant
IBM watsonx Assistant (Formerly Watson Assistant) is a market-leading enterprise conversational AI platform that allows you to build intelligent virtual and voice assistants that can provide customers with fast, consistent and accurate answers across any messaging platform, application, device or channel. Using artificial intelligence and large language models, watsonx Assistant learns from customer conversations, improving its ability to resolve issues the first time while removing the frustration of long wait times, tedious searches and unhelpful chatbots.
Most chatbots try to mimic human interactions, frustrating customers when a misunderstanding arises. IBM watsonx Assistant is more than a chatbot. It knows when to search for an answer from a knowledge base, when to ask for clarity and when to direct users to a human agent for more assistance. And since it can be deployed in any cloud or on-premises environment – smarter AI is finally available wherever you need it.
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