QBox helps companies assess the quality of the NLP training data and recognize the ability of a chatbot to serve customers efficiently. As QBox provides visibility into the impact of a change or addition to the training data of the NLP data model, companies can make informed decisions on scaling their chatbots’ domain knowledge and understanding performance.
Offering 10 free trials to test NLP data models, QBox lowers the barrier to entry into the chatbot arena for any company. “Companies can now take control of their chatbot’s quality and release their solutions into the market quickly,” says Chris Sykes, CEO, QBox. They can also track and analyze the incremental progression of understanding of the data models after every training phase. This transparency helps them to scale with a high degree of accuracy while making chatbot understanding as human-like as possible. Industries from banks to retail to professional services among others can reduce the human capital and improve customer experience with QBox.
Acknowledging the limitation of a machine in interacting with a human being who is more dynamic in terms of interactions, QBox has built a separate platform that allows companies to quell the negative experiences. QBox works with all major NLP providers and its capabilities complement those providers’ offering. That is why QBox integrates seamlessly with NLP platforms from providers like Microsoft Azure, IBM Watson, Amazon AWS, Google, Facebook, and open source technologies.
Having an emerging partner ecosystem with Microsoft and Intel, the company plans to introduce more variants of its platform in different industries such as life sciences and financial services.