Best Chatbot Software for Android
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Compare the Top Chatbot Software that integrates with Android as of June 2025
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This a list of Chatbot software that integrates with Android. Use the filters on the left to add additional filters for products that have integrations with Android. View the products that work with Android in the table below.
What is Chatbot Software for Android?
Chatbot software is a type of software that simulates conversation with a human user through text or voice input. Chatbot builders are companies and individuals who create chatbot software, often using specific programming languages like JavaScript. Chatbot programs can be used to assist customers in areas such as customer service, product recommendation, order processing and more. They can also serve as virtual assistants to help people complete tasks quickly and conveniently. Compare and read user reviews of the best Chatbot software for Android currently available using the table below. This list is updated regularly.
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Mindsay
Mindsay
Mindsay makes customer interactions simple and efficient using conversational automation. We help customer service teams overcome common challenges, allowing them to automate customer requests, eliminate time-consuming processes, and optimize their use of human resources. From basic FAQs to complex transactions, we help companies build their customer service automation strategy, allowing for maximum automation of customer interactions and lowest total cost of ownership. -
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Indigo.ai
Indigo.ai
Indigo.ai is a full-service conversational AI platform to design and build beautiful chatbots, scale AI applications, analyze conversational experiences. Indigo.ai powers conversational AI at many leading organizations. One place to manage all your conversational AI data and chats, automize conversations, build AI, scale your project, unlock the treasure in your conversations, and everything in between. An advanced set of tools for text annotation, dataset augmentation, and natural language processing quality. Improving your AI model performance and customer experience begins with understanding and interacting with text. Build highly-accurate ML models while maximizing operational efficiency and reducing costs. Gather information and insights from your business chats. Automatically extract structured text information from unstructured data. Interact with your customers and learn about their needs to improve your product, service, and customer support. -
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In this new economy communication with businesses will be more and more digital. Actually, there is an increasing trend towards messaging. Messaging can be more convenient and more affordable than voice. It can be done in real-rime and 24/7, but to get that, there is a need for automation. Graphical designer for conversation flows. Support for language translations. Answering machine for frequent inquiries and support for 21 languages. Connects to line-of-business systems. Connectivity to multiple channels. Indepedent containers for each single chatbot. Monitoring of conversations with software agents. A graphical builder to make easier the creation of automated conversations. Pre-built integrations with 3rd party tools and live chat platforms. Patent-pending model for FAQ knowledge base. Assuring full privacy for the customer conversations. Includes a package of AI tools, NLP, NLU, language detection, and sentiment analysis.
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Clare.AI
Clare.AI
Your services will never stay the same from the day it starts with Clare.AI. Conversational AI enables growth in the way it understands what your customers say, associates new to existing knowledge or learns from customers' satisfaction. All these contribute to making the resolution we provide with you and your services to the customers better each day. Our conversational AI can be made available on these channels easily through our one-click connector. The channels when enabled, are where your customers will be reaching out to our conversational AI and talk to it. Unlike many of the solutions in the market, we develop our own NLP engine with our algorithms. That allows us to have full control on the NLP with higher flexibility on configurations and development.
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