SmartBots is a Chatbot Builder with all the necessary components for enterprises to build, test, train, measure, and manage bots. The Bot Platform enables businesses to quickly build & deploy conversational bots with significantly reduced time to market.
decrease in
Time-to-Market
datasets
across industries
decrease in
Chatbot implementation costs
Collection of industry specific pre-built skills which are pre-trained with standard conversation flows.
A Bot Testing Framework to test your bots and identify weak spots
Identify vulnerable conversations and train the bot to handle them, thus improving the bot quality
Understand your bot’s performance with real-time analytics and metrics.
Smartbots Bot platform can help you monitor, nurture and improve your bots irrespective of which channel they are hosted on
Smartbots Chatbot Builder works with all the popular NLUs used for building bots
Generating quality test data is a laborious process involving lot of man hours. Our automated test data generation algorithm simplifies the process by auto generating domain specific test data. Also, our pre-built test datasets available in our library can help in evaluating the bot performance before the bot is deployed into production.
Sometimes, Bots need to handover conversations to Human agents and our Smartbots platform enables it. If you already have a customer support application in place, SmartBots platform can be integrated with it. Else, you can make use of SmartBots platform to interact with the customers whenever the bot hands over the conversation to human agent.
Design your conversations according to your enterprise needs with the help of this designer. Easy to use and quick to implement
Generate reports that contain information and insights about the bot’s activities that will help you take better business decisions.
We have pre-built standard test datasets like enterprise small talk, out of domain and domain specific test datasets across industries.
The Smartbots Platform supports various NLUs like Amazon Lex, Google DialogFlow, Microsoft Luis, RASA and many more.
Make use of a wide collection of industry specific pre-built skills which are pre-trained with standard conversation flows to build bots quickly with minimum Time-to-Market
Add FAQs to the bot in standard Q&A format or as raw knowledge. Bot will automatically learn from knowledge base and answer user questions
Human conversations are sometimes unstructured; shifting between topics is a common scenario. Dialog manager helps in controlling the dialog state and flow of the conversations.
Increase in number of intents leads to performance compromise. Skill orchestrator, a proprietary ML model by Smartbots, can handle multiple skills with a seamless flow.
Context management is the method in which the bot memory during the conversation is managed. You might want your bot to never forget user conversations or you might want the bot to refresh itself after every session. Pick the right pre-defined context management method which best suits your bot need.
Every enterprise has security compliance and policies. Especially highly regulated industries like healthcare and finance have tight regulatory compliances which cannot be compromised. Bots created on SmartBots platform are enterprise grade secure with adherence to industry specific compliances. The data is always encrypted.
SmartBots platform is integrated with SAAS platforms like Salesforce, Workday, SAP, Quickbooks, DOMO etc. For home grown systems, our API friendly integration layer reduces the burden on developers for integration
Releasing a bot into production, post testing, is facilitated using Release Management module. Publish your bot with a simple 1-click process. Keep track of all your releases with the History feature
Smartbots studio is architected in such a way that the conversation logic and business logic are completely separated. While the state-of-the-art conversation logic is already part of the studio, business users can entirely focus on the business-specific logic.
Enterprise use-cases have a definite need to add domain-specific logic.
