Think of us as your go-to Cloud Provider for all things from cost optimisation, to migrating to the cloud. Let's not stop there, let's make your business process more efficient with machine learning or add some artificial intelligence to predict your customer's behaviours.
Test and fix your chatbot performance in minutes with
QBox will analyze your NLP training data to let you improve the accuracy of your chatbot, giving you 100% confidence to go LIVE. QBox builds upon industry standard cross‑validation techniques to provide a multidimensional view of how your training data performs, and which intents need improving.
*NLP – Natural Language Processing is a subfield of linguistics, computer science and artificial intelligence concerned with the interactions between computers and human language, in particular how to program computers to process and analyze large amounts of natural language data.
How QBox makes your chatbot smarter.
Measures understanding
Giving you the confidence to go live
Increases knowledge
So you can scale your chatbot domain
Monitors live interactions
So you can observe your users’ behaviour
Is easy to use
Putting the subject-matter expert in charge
Discover QBox features
Perhaps you released a chatbot live and your customer satisfaction isn’t as great as you hoped because your chatbot struggles to understand your users. QBox analyzes and benchmarks your chatbot training data by visualizing and understanding where it does and doesn’t perform, and why (for your chosen NLP provider).
† Direct import is currently not available for RASA.
†† Conversion and comparison is not available for all NLP provider combinations, but we’re adding more support all the time. To check out what’s currently supported, register for a free account.
*To run tests using IBM Watson Assistant (formerly known as Watson Conversation), Microsoft LUIS, Amazon Lex and QnA Maker, you will need to set up your own API keys. This only needs to be done once and we will guide you through the process.
Contact us for pricing, trial or proof of concept.
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