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Develop and integrate AI-based chatbots to streamline your business interactions.
Develop and integrate AI-based chatbots to streamline your business interactions.
Stretch 365 provides bot development services that use all of the major bot frameworks. By combining language and syntax parsing, machine learning, and published APIs, we can build you bots that can be integrated with cloud-based apps and search engines.
Bots developed by our team can be integrated with multiple messaging apps, and our team is skilled in many programming languages, such as Node.js, Python, C# and more, since these are dynamic languages that usually have useful modules for integrating the bot with your preferred platform.
By connecting to multiple messaging platforms, providing a bot builder SDK, and providing a bot directory, the Microsoft Bot Framework lets you develop and deploy highly advanced bots for enriching your users’ conversations.
Using the chat emulator or the SDKs for Node.js, C#, NET or REST.
Look at the Bot Directory to find a bot that provides you with an outstanding user experience.
Adding communication channels to your bot can improve your relationship with users.
Introducing LUIS technology to let your bot understand, interpret, and see just like humans.
Chatbots can act swiftly upon customers' interests and gather data and insights to create better engagement with customers.
Customers can be identified by chatbots to be provided with a tailored experience based on their preferences.
By simulating human conversations, chatbots gather relevant data about users for improved data-driven insights.
Choose the one that’s best for you with our help.
Microsoft Bot Framework – perfect for building enterprise bots
There are ten channels supported by Microsoft, including Direct Line (which provides an API to connect your application with the bot). Therefore, the framework is a great choice for enterprise bots that need to be deployed across multiple channels quickly. You can access these channels:
IBM’s platform gives you the capability to create a bot equipped with natural language understanding easily. It can create a chatbot that interacts with data in a conversational way to get answers you understand through data discovery, automated predictive analytics, and cognitive capabilities such as natural language. Through Watson’s Natural Language Processing framework, the text is analyzed to extract keywords, categories, entities, concepts, relations, and other meta-data about the content.
If you would like to extend or support the Oracle EBusiness Suite or other Oracle ERPs, the Oracle Framework is the best option. It is capable of building and running bots on many modern messaging apps for users and enterprises alike.
You can integrate and deploy full-featured Slack bots using Node.js, Python, C#, and other webhooks that control the outgoing and incoming messages. Likewise, you can incorporate specific actions into bots through Slash commands. This directory shows how bots can be found and provisioned.
A bot’s interaction with the user and functionality can be easily implemented with the Telegram framework’s commands, APIs, and mechanisms. The BotFather allows users to control all the different bots available across multiple platforms. If you want to find information/documents in a central repository, but there is a large amount of data, Telegram is the perfect alternative.
A Messenger Bot can run on Messenger and be integrated with the Wit.AI Conversation Analysis and Natural Language Processing platform. In Facebook Messenger, you can implement webhooks to receive events, learn business logic, and add visual UI controls to improve the bot’s user experience.
Developers can build bots on Kik’s messaging platform to engage their customers effectively using the Kik Bot Rest API, an emerging chat platform. Integrating API.ai with Kik will allow you to create bots quickly and easily.
Framework’s success