Amazon Lex is a service for building conversational interfaces into any application using voice and text. Amazon Lex provides the advanced deep learning functionalities of automatic speech recognition (ASR) for converting speech to text, and natural language understanding (NLU) to recognize the intent of the text, to enable you to build applications with highly engaging user experiences and lifelike conversational interactions. With Amazon Lex, the same deep learning technologies that power Amazon Alexa are now available to any developer, enabling you to quickly and easily build sophisticated, natural language, conversational bots (“chatbots”). Speech recognition and natural language understanding are some of the most challenging problems to solve in computer science, requiring sophisticated deep learning algorithms to be trained on massive amounts of data and infrastructure. Amazon Lex democratizes these deep learning technologies by putting the power of Amazon Alexa within reach of all developers. Harnessing these technologies, Amazon Lex enables you to define entirely new categories of products made possible through conversational interfaces. As a fully managed service, Amazon Lex scales automatically, so you don’t need to worry about managing infrastructure. With Amazon Lex, you pay only for what you use. There are no upfront commitments or minimum fees.

AI powers for customer service agents to provide faster, smarter responses.'s deep learning artificial intelligence technology works in partnership with agents, learning from historical chat data to provide reply suggestions in real time. learns from agent behaviours and grows in accuracy. Ultimately, the most common questions in customer service are fully automated, freeing agents to focus on what really matters: the customer.
This form of obtaining information from the collective intelligence of a large number of people allows Cleverbot to respond in new conversations by taking into account the context of the conversation typed by a user and searching its database for an appropriate response. It scans its history for every user-submitted response to the given question and replies accordingly, which creates a more human-like conversation with users.
But even though most chatbots can handle moderately sophisticated conversations, like welcome conversations and product discovery interactions, the if/then logic that powers their conversational capabilities can be limiting. For instance, if a customer asks a unique yet pressing question that you didn’t account for when designing your chatbot’s logic, there’s no way it can answer their question, which hangs your customer out to dry and ultimately leaves them dissatisfied with your customer service.

Developed by Zendesk, a customer service platform that started in Copenhagen, Answer Bot is designed to help companies create customer relationships that are more personal and productive. Businesses can customize Answer Bot to answer and assist customers that visit their website without having to develop a customer service bot from scratch. When Answer Bot is unable to answer a customer's request, customers are redirected to one of the businesses' support agents.
Microsoft Bot Framework is an Open source Bot Builder SDKs that allow you to build simple to sophisticated dialogs; Cognitive Services enable your bot to see, hear, interpret and interact in more human ways.A bot is an app that users interact with in a conversational way. It can communicate conversationally with text, cards, or speech. The Microsoft Bot Framework is a platform for building, connecting, testing, and deploying powerful and intelligent bots. It helps you build and connect intelligent bots to interact with your users naturally wherever they are. They offer a conversational interface as a solution to your user’s…
Adam Devine is the CMO of WorkFusion, architects of AI-powered products that automate customer service functions as well as other business processes. According to Devine, “Adding natural language processes and machine learning changes everything, giving virtual customer assistants (VCAs) the ability to determine not just what rules-based action to take based on a word, but to understand the meaning of words in different combinations, ask questions to create context and intent, and actually do something for the customer.”

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Pros: It's system is more advanced comparing with Manychat or Chatfuel (both are like toys if you try Activechat). It has autorresponders of course, but also suitable for flexible AI conversations. Is like coding an advanced chatbot without needing to be a coder. The team is very responsive and their founder Andrii has a clear vision about this project.
LivePerson’s BotStudio also lets you build chatbots from scratch, without any coding knowledge, and its analytics dashboard can track metrics like real-time sentiment, bot containment rate, bot conversation time, total conversation time, average order value, and bot contained sales, allowing you to grasp the impact your chatbot has had on your business’ bottom line.
Pros: Botengine is a product of Livechatinc and it is no surprise it is so efficient.I love how easy it is to create a chatbot via the Botengine platform and also the fact creating a chatbot requires no technical background.The level of support provided the team during the setup and continuous usage of our chatbot by the Livechatinc team ; allowing us know about newer ways through which we can improve the efficiency of our bots.
LivePerson’s BotStudio also lets you build chatbots from scratch, without any coding knowledge, and its analytics dashboard can track metrics like real-time sentiment, bot containment rate, bot conversation time, total conversation time, average order value, and bot contained sales, allowing you to grasp the impact your chatbot has had on your business’ bottom line.
Insomno bot is for night owls. As the name suggests, it is for all people out there who have trouble sleeping. This bot talks to you when you have no one around and gives you amazing replies so that you won’t get bored. It’s not something that will help you count stars when you can’t sleep or help you with reading suggestions, but this bot talks to you about anything.
Woebot has a sense of humor, and I can see people who are having a bad day sticking with the attractive platform. Woebot also has skills — in no time, Woebot had identified my mood (with emoji support), identified three thoughts underlying my mood, and helped me see that these thoughts were “distortions,” which we replaced with more helpful thoughts.
Meya helps businesses create bots that assist their customers inside messaging apps. It has a code editor, live debugger, and a visualizer. With the help of Meya, companies can leverage AI for their customer service. You can build, train, and host your bots on Meya. And you can easily scale your bot. Meya integrates easily with third party applications, which increases its usability.
Hmmm…interesting list. I however was thinking that you may want to include Engati as well. Engati is a chatbot platform that allows you to build, manage, integrate, train, analyse and publish your personalized bot in a matter of minutes. It presently supports eight major messaging platforms including messenger, kik, telegram, line, viber, skype, slack and webchat with a focus on customer engagement, conversational commerce, and customer service and fulfillments.

Reply is one of the best AI chatbot platforms. It is an enterprise level bot-building and management platform. And it enables B2C communications at scale. Their visual bot builder makes it easy to build bots. The dashboard has built-in CRM, machine learning, and real-time insights to make smarter and faster bots. You can expand bot functionalities across the whole customer experience.

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