Better-performing natural-language data models
Moving conversational AI platforms (CAPs) from a proof of concept (POC) to live production environments requires the ability to measure, modify, and scale data models at speed. But key NLP providers offer relatively basic tooling to create a data model, and none allow you to measure the performance of your model. This leaves you with no choice but to carry out manual, error-prone, highly complex and time-consuming processes—as well as use a CAP that could offer a disappointing brand experience to your customers.
Improve performance and scale your conversational AI platforms and smart chatbots with confidence using QBOX™: the technology-agnostic corpus-management tool that automatically quantifies the quality of your natural-language data model.
Benchmark your data model using automatically generated KPIs to validate performance.
Easily interpret and analyze your test results in different visual formats.
Improve the accuracy of your natural-language data model by detecting poor-performing intents.
Rapidly scale your data model and maintain performance when new intents are added.
Significantly reduce your costs by simplifying maintenance processes.
If you work with natural-language data models and you’re looking to quickly and easily understand, analyze, and improve the performance and results of chatbots and conversational AI platforms, get in touch to try QBOX.