Softweb Solutions is a bot development company with expertise in using all the major bot frameworks. We can build you bots using language and syntax parsing, machine learning, integrate them with cloud-based applications and search engines through published APIs.
Our team is well-versed with the best programming languages for bot development such as Node.js, Python, C# and more as these languages are dynamic and have useful modules for effective integration of the bot with the messaging application of your choice.
Unable to decide between rule-based bots and AI-powered bots?
We will analyze your business requirements and then develop a bot based on various factors such as visual recognition, speech recognition, support for multiple devices, support for different natural languages, and translation of languages.
Build a bot with a Microsoft Certified Partner
The Microsoft Bot Framework offers bot connectors for different messaging platforms, bot builder SDK, and a bot directory to build and deploy highly advanced bots for your users to enrich their conversational experiences.
Making use of the chat emulator or by downloading the SDKs for C#, Node.js, REST or .NET.
Checking out the Bot Directory to add a bot that offers you an outstanding user experience.
Connecting your bot to various communication channels for a better conversation experience.
Integrating LUIS technology to enable your bot to hear, interpret, and see, just as humans do.
Bots frameworks and platforms
We know which one is the right choice for you
Microsoft Bot Framework – ideal for developing enterprise bots
Microsoft’s framework supports ten channels, including Direct Line (an API to connect your app to the bot). This makes the framework the best choice for enterprises that want to quickly deploy bots across multiple channels. The supported channels are –
- Office 365 Mail
- Facebook Messenger
- Direct Line
Key features of Microsoft Bot Framework
Bing Channel Integration
Allow users to discover and chat with the bot directly in the Bing search result.
Provide amazing conversational UI design that enhances the user experience on messengers across various devices and modalities.
Develop a payment enabled bot that supports in-app purchases and simplifies checkout process for eCommerce customers.
Integrate new language features of the Language Understanding Service in your bot that includes features like the semantic suggestions/recommendations, lists, composite entities, and spell checking.
Build highly relevant and personalized experiences depending on the user’s preferences and intent using speech to text and voice assistant features.
Azure Bot Service V.Next
Azure Bot Service vNext combines several aspects of building a bot by integrating LUIS authoring experience, speech support, and adaptive cards enabling powerful bot development.
IBM- Build powerful AI assistants that can understand your customers
IBM provides a platform which easily enables you to develop an intelligent bot with natural language understanding components. With data discovery, automated predictive analytics and cognitive capabilities such as natural language dialogue, it can create a chatbot that can interact with data conversationally to get answers you understand. The NLP of Watson framework analyzes text to extract meta-data from content such as keywords, categories, entities, concepts, relations and semantic roles.
Oracle – perfect for enterprises using Oracle ERP
The Oracle Framework is the perfect option if you are looking at extending the reach or support of your existing Oracle EBusiness Suite and other Oracle ERPs. It is capable enough to build and run bots for enterprises as well as consumers on many modern messaging apps.
Slack – best for organizations big on collaboration
The Slack framework helps in integrating and deploying fully-featured bots with Node.js, Python, C# and other outgoing and incoming webhooks that have control over your automated messages. You can also use Slash commands to implement specific actions in bots. The app directory shows the main mechanism for finding and provisioning bots.
Create Slack bots
Telegram’s BotFather – the go-to framework when bots need to interact with Big Data
The Telegram framework provides commands, APIs, and mechanisms that are useful in implementing bots that interact with the users and does multiple tasks efficiently. The BotFather offers a mechanism for controlling all the other bots available in multiple platforms. Telegram is the right alternative if there is a huge amount of data and you need a bot to search out information/documents from a central repository.
Create Telegram bots
Facebook – the undisputed choice when it comes to B2C bots
The Messenger Platform enables bots to run on Messenger and can be integrated with the Wit.ai platform for natural language processing and conversational analysis. With Facebook Messenger, you can add visual UI controls to improve the user experience in the bots and webhooks to get events and implement business logic.
Create Facebook bots
Kik - easily add NLP capability to your bots
The Kik platform is an emerging chat as a platform and with Kik Bot RESt API developers can build bots on the Kik messaging platform to enable brands to engage their customers effectively. Api.ai Kik integration lets you create Kik bots using natural language understanding easily.
Create Kik bots
Chatbots at your doorstep – No Humans Please!
- Conversational UX best practices
- Bot implementation strategies
- Chatbots with deep machine learning
- Smart chatbots with cognitive services
- Recent updates in MS Bot framework
- Chatbots benefits for enterprises
- Q&A session
We integrate NLP-NLU technologies to make your bot language-intelligent
Microsoft’s Language Understanding Intelligence Service(LUIS) is a component of the Microsoft Cognitive Services which is capable of creating and processing natural language models. LUIS offers a powerful toolset that helps developers to train the platform in new conversation models. It can also be used in combination with other text processing APIs in MCS like linguistic analysis and text analytics.
Google’s Api.ai is a conversational UX platform enabling brand unique, natural language interactions for devices, applications, and services. You can use Api.ai services for speech recognition, natural language processing (intent recognition and context awareness), and conversation management to easily and rapidly distinguish their business, increase customer satisfaction and improve business processes.
Facebook’s Wit.ai possesses a refined toolset that can be used to train the platform in new conversation models and to monitor the interactions between users and the platform. You can use the Wit.ai API to have an intelligent voice interface in home automation, wearables, smart TV, connected car, robotics, smartphone, and various other types of applications.