Drift is the world's leading conversational marketing and sales platform that helps businesses connect now with the customers who are ready to buy now. With its quickly evolving set of tools and playbooks, Drift is leading businesses through the customer-driven revolution by using conversations to unlock hypergrowth. Customers use Drift to provide a modern buying experience for potential customers, generate more qualified leads, and dramatically accelerate the sales cycle. After just two years in market, the company has become one of the fastest growing SaaS companies of all-time and was named to the Forbes Cloud 100, LinkedIn Top 50 Startups, Entrepreneur's Top Company Cultures, Boston Business Journal's Best Places to Work, and SaaS Company of the Year by the NEVCA. Get started for free today and join 150,000+ businesses using Drift at drift.com.
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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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.
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It also has a number of templates, covering bots built for shopify, woocommerce, livechat, restaurants and other templates which helped me understand how the different blocks come together to build a complex chabot. Voice conversation integration with alexa echo/google home is also coming up, along with web widgets if the existing twilio, telegram, facebook integrations are not enough already.
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.

Overall: Botengine acts as our stand-in customer support agent on Sundays,which is a day when there are no human agents manning our Livechat ,either from the office or from home.Thus ,rather than have most website visitors simply opening a ticket ,they get attended to by our chatbot. And their issues get resolves and in cases when the issue is complex and can't be resolved by our chatbot,it guides the website visitor through the process of opening a ticket.


Chatterbot Platform or Chatbot Software are computer program which are designed to simulate an intelligent conversation with one or more human users via auditory or textual methods, for engaging in conversation. Chatterbot are text based conversation agent which can interact with human users through some medium, such as an instant message service. The primary aim of such simulation has been to fool the user into thinking that the program's output has been produced by a human. Programs doing this are referred to as Artificial Conversational Entities, talk bots, chatterboxes, chatter robot, chatterbot, chatbot, or chat bot. Some of the chatterbots use natural language processing systems, and some others scan for keywords within the input and respond with a reply with the most matching keywords, or similar wording pattern, from a textual database. Chatterbots are often integrated into dialog systems for various practical applications such as offline help, personalised service, or information acquisition.
Chatterbot Platform or Chatbot Software are computer program which are designed to simulate an intelligent conversation with one or more human users via auditory or textual methods, for engaging in conversation. Chatterbot are text based conversation agent which can interact with human users through some medium, such as an instant message service. The primary aim of such simulation has been to fool the user into thinking that the program's output has been produced by a human. Programs doing this are referred to as Artificial Conversational Entities, talk bots, chatterboxes, chatter robot, chatterbot, chatbot, or chat bot. Some of the chatterbots use natural language processing systems, and some others scan for keywords within the input and respond with a reply with the most matching keywords, or similar wording pattern, from a textual database. Chatterbots are often integrated into dialog systems for various practical applications such as offline help, personalised service, or information acquisition.

Created in 1966 as an early natural language processing (NLP) computer program that emulates a Rogerian psychotherapist, a clinical practice that allows clients to take more action and progression in discussions. This is also known as person-centered therapy. Developed by Joseph Weizenbaum, ELIZA, named after a character in the play Pygmalion by George Bernard Shaw, is generally known as the first chatbot.
Woebot also offers quizzes and videos, which are there to help you discover your thoughts that come automatically and contribute to your struggles. The exchange with the app takes 10 minutes, though you can stop chatting any time you wish before that. The advantage is that it feels like you’re speaking with a real therapist during your conversations with this digital robot.
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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